Upload folder using huggingface_hub

checkpoint-126/README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: codellama/CodeLlama-7b-Instruct-hf
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1

checkpoint-126/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "v_proj",
+    "o_proj",
+    "k_proj",
+    "up_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-126/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7089b1e13e098129f9319f730e7e7bbddef45fe368cdaef21f2a86be2c69080
+size 319876032

checkpoint-126/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:942290cd6e6e028d0d15d05c0d37a90facf8d7c2405e76724679f365fefdac72
+size 160736084

checkpoint-126/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41584a0720f28394137240d9306ba57cf254f42b84c27146db2dd17c3c821580
+size 14960

checkpoint-126/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b30550a388412aa2620e1b94963afde97ac1484ef59c285c4d94f8f2e9bf210b
+size 14960

checkpoint-126/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04c16d072801fd8e6c1af2bd98cff9d6effb6098e3413cc086845fe0742d3867
+size 14960

checkpoint-126/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d8bdb8c6676475066b192dae9e25603bade6d022410b90ce8e6e6f289263e8e
+size 14960

checkpoint-126/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57bd5ede9ad38331a78fd70d93f6d91378871a220fd953898c2aff97b1586c90
+size 1064

checkpoint-126/special_tokens_map.json

@@ -0,0 +1,36 @@
+{
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-126/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
+size 500058

checkpoint-126/tokenizer_config.json

@@ -0,0 +1,84 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "▁<PRE>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "▁<SUF>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "▁<MID>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "▁<EOT>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "eot_token": "▁<EOT>",
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-126/trainer_state.json

@@ -0,0 +1,979 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.9566929133858268,
+  "eval_steps": 16,
+  "global_step": 126,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.015748031496062992,
+      "grad_norm": 0.034481361508369446,
+      "learning_rate": 4e-05,
+      "loss": 0.1412,
+      "step": 1
+    },
+    {
+      "epoch": 0.015748031496062992,
+      "eval_loss": 0.1612786203622818,
+      "eval_runtime": 64.5157,
+      "eval_samples_per_second": 7.812,
+      "eval_steps_per_second": 0.977,
+      "step": 1
+    },
+    {
+      "epoch": 0.031496062992125984,
+      "grad_norm": 0.029317770153284073,
+      "learning_rate": 8e-05,
+      "loss": 0.1191,
+      "step": 2
+    },
+    {
+      "epoch": 0.047244094488188976,
+      "grad_norm": 0.036621659994125366,
+      "learning_rate": 0.00012,
+      "loss": 0.1369,
+      "step": 3
+    },
+    {
+      "epoch": 0.06299212598425197,
+      "grad_norm": 0.04425783455371857,
+      "learning_rate": 0.00016,
+      "loss": 0.1321,
+      "step": 4
+    },
+    {
+      "epoch": 0.07874015748031496,
+      "grad_norm": 0.05247063934803009,
+      "learning_rate": 0.0002,
+      "loss": 0.1285,
+      "step": 5
+    },
+    {
+      "epoch": 0.09448818897637795,
+      "grad_norm": 0.03902214765548706,
+      "learning_rate": 0.00019996629653035126,
+      "loss": 0.1004,
+      "step": 6
+    },
+    {
+      "epoch": 0.11023622047244094,
+      "grad_norm": 0.03752463683485985,
+      "learning_rate": 0.00019986520883988232,
+      "loss": 0.0985,
+      "step": 7
+    },
+    {
+      "epoch": 0.12598425196850394,
+      "grad_norm": 0.03061060793697834,
+      "learning_rate": 0.00019969680506871137,
+      "loss": 0.0912,
+      "step": 8
+    },
+    {
+      "epoch": 0.14173228346456693,
+      "grad_norm": 0.034427180886268616,
+      "learning_rate": 0.00019946119873266613,
+      "loss": 0.0836,
+      "step": 9
+    },
+    {
+      "epoch": 0.15748031496062992,
+      "grad_norm": 0.03106631338596344,
+      "learning_rate": 0.00019915854864676664,
+      "loss": 0.0734,
+      "step": 10
+    },
+    {
+      "epoch": 0.1732283464566929,
+      "grad_norm": 0.02498232200741768,
+      "learning_rate": 0.00019878905881817252,
+      "loss": 0.0729,
+      "step": 11
+    },
+    {
+      "epoch": 0.1889763779527559,
+      "grad_norm": 0.03798564895987511,
+      "learning_rate": 0.00019835297830866826,
+      "loss": 0.0694,
+      "step": 12
+    },
+    {
+      "epoch": 0.2047244094488189,
+      "grad_norm": 0.046124912798404694,
+      "learning_rate": 0.00019785060106677818,
+      "loss": 0.0833,
+      "step": 13
+    },
+    {
+      "epoch": 0.2204724409448819,
+      "grad_norm": 0.02981509082019329,
+      "learning_rate": 0.00019728226572962473,
+      "loss": 0.0713,
+      "step": 14
+    },
+    {
+      "epoch": 0.23622047244094488,
+      "grad_norm": 0.02461801841855049,
+      "learning_rate": 0.0001966483553946637,
+      "loss": 0.0657,
+      "step": 15
+    },
+    {
+      "epoch": 0.25196850393700787,
+      "grad_norm": 0.04344266653060913,
+      "learning_rate": 0.00019594929736144976,
+      "loss": 0.0635,
+      "step": 16
+    },
+    {
+      "epoch": 0.25196850393700787,
+      "eval_loss": 0.06579381227493286,
+      "eval_runtime": 64.6166,
+      "eval_samples_per_second": 7.8,
+      "eval_steps_per_second": 0.975,
+      "step": 16
+    },
+    {
+      "epoch": 0.2677165354330709,
+      "grad_norm": 0.0320642925798893,
+      "learning_rate": 0.00019518556284360696,
+      "loss": 0.0656,
+      "step": 17
+    },
+    {
+      "epoch": 0.28346456692913385,
+      "grad_norm": 0.028899891301989555,
+      "learning_rate": 0.0001943576666511982,
+      "loss": 0.0462,
+      "step": 18
+    },
+    {
+      "epoch": 0.2992125984251969,
+      "grad_norm": 0.02383616380393505,
+      "learning_rate": 0.0001934661668437073,
+      "loss": 0.0649,
+      "step": 19
+    },
+    {
+      "epoch": 0.31496062992125984,
+      "grad_norm": 0.03346535563468933,
+      "learning_rate": 0.0001925116643538684,
+      "loss": 0.0546,
+      "step": 20
+    },
+    {
+      "epoch": 0.33070866141732286,
+      "grad_norm": 0.020454615354537964,
+      "learning_rate": 0.00019149480258259533,
+      "loss": 0.0538,
+      "step": 21
+    },
+    {
+      "epoch": 0.3464566929133858,
+      "grad_norm": 0.02081696316599846,
+      "learning_rate": 0.00019041626696528503,
+      "loss": 0.0526,
+      "step": 22
+    },
+    {
+      "epoch": 0.36220472440944884,
+      "grad_norm": 0.028128350153565407,
+      "learning_rate": 0.0001892767845097864,
+      "loss": 0.0593,
+      "step": 23
+    },
+    {
+      "epoch": 0.3779527559055118,
+      "grad_norm": 0.015519126318395138,
+      "learning_rate": 0.00018807712330634642,
+      "loss": 0.0528,
+      "step": 24
+    },
+    {
+      "epoch": 0.3937007874015748,
+      "grad_norm": 0.03593792766332626,
+      "learning_rate": 0.0001868180920098644,
+      "loss": 0.0481,
+      "step": 25
+    },
+    {
+      "epoch": 0.4094488188976378,
+      "grad_norm": 0.015408644452691078,
+      "learning_rate": 0.00018550053929480202,
+      "loss": 0.0479,
+      "step": 26
+    },
+    {
+      "epoch": 0.4251968503937008,
+      "grad_norm": 0.021226301789283752,
+      "learning_rate": 0.00018412535328311814,
+      "loss": 0.054,
+      "step": 27
+    },
+    {
+      "epoch": 0.4409448818897638,
+      "grad_norm": 0.01717953570187092,
+      "learning_rate": 0.0001826934609456129,
+      "loss": 0.0523,
+      "step": 28
+    },
+    {
+      "epoch": 0.4566929133858268,
+      "grad_norm": 0.019626960158348083,
+      "learning_rate": 0.00018120582747708502,
+      "loss": 0.0512,
+      "step": 29
+    },
+    {
+      "epoch": 0.47244094488188976,
+      "grad_norm": 0.019186396151781082,
+      "learning_rate": 0.0001796634556457236,
+      "loss": 0.05,
+      "step": 30
+    },
+    {
+      "epoch": 0.4881889763779528,
+      "grad_norm": 0.014989328570663929,
+      "learning_rate": 0.0001780673851171728,
+      "loss": 0.0441,
+      "step": 31
+    },
+    {
+      "epoch": 0.5039370078740157,
+      "grad_norm": 0.012519012205302715,
+      "learning_rate": 0.00017641869175372493,
+      "loss": 0.0459,
+      "step": 32
+    },
+    {
+      "epoch": 0.5039370078740157,
+      "eval_loss": 0.056131936609745026,
+      "eval_runtime": 64.4985,
+      "eval_samples_per_second": 7.814,
+      "eval_steps_per_second": 0.977,
+      "step": 32
+    },
+    {
+      "epoch": 0.5196850393700787,
+      "grad_norm": 0.01598576456308365,
+      "learning_rate": 0.00017471848688911464,
+      "loss": 0.0496,
+      "step": 33
+    },
+    {
+      "epoch": 0.5354330708661418,
+      "grad_norm": 0.017361309379339218,
+      "learning_rate": 0.000172967916579403,
+      "loss": 0.0534,
+      "step": 34
+    },
+    {
+      "epoch": 0.5511811023622047,
+      "grad_norm": 0.021230200305581093,
+      "learning_rate": 0.00017116816083045602,
+      "loss": 0.0505,
+      "step": 35
+    },
+    {
+      "epoch": 0.5669291338582677,
+      "grad_norm": 0.01624094881117344,
+      "learning_rate": 0.0001693204328025389,
+      "loss": 0.0568,
+      "step": 36
+    },
+    {
+      "epoch": 0.5826771653543307,
+      "grad_norm": 0.014916475862264633,
+      "learning_rate": 0.00016742597799256182,
+      "loss": 0.0542,
+      "step": 37
+    },
+    {
+      "epoch": 0.5984251968503937,
+      "grad_norm": 0.013211382552981377,
+      "learning_rate": 0.00016548607339452853,
+      "loss": 0.0507,
+      "step": 38
+    },
+    {
+      "epoch": 0.6141732283464567,
+      "grad_norm": 0.01305565144866705,
+      "learning_rate": 0.00016350202663875386,
+      "loss": 0.0387,
+      "step": 39
+    },
+    {
+      "epoch": 0.6299212598425197,
+      "grad_norm": 0.011459614150226116,
+      "learning_rate": 0.0001614751751104301,
+      "loss": 0.0433,
+      "step": 40
+    },
+    {
+      "epoch": 0.6456692913385826,
+      "grad_norm": 0.014712609350681305,
+      "learning_rate": 0.00015940688504813662,
+      "loss": 0.0571,
+      "step": 41
+    },
+    {
+      "epoch": 0.6614173228346457,
+      "grad_norm": 0.015662657096982002,
+      "learning_rate": 0.00015729855062290022,
+      "loss": 0.0504,
+      "step": 42
+    },
+    {
+      "epoch": 0.6771653543307087,
+      "grad_norm": 0.011235736310482025,
+      "learning_rate": 0.00015515159299842707,
+      "loss": 0.0453,
+      "step": 43
+    },
+    {
+      "epoch": 0.6929133858267716,
+      "grad_norm": 0.011984420008957386,
+      "learning_rate": 0.00015296745937313987,
+      "loss": 0.0402,
+      "step": 44
+    },
+    {
+      "epoch": 0.7086614173228346,
+      "grad_norm": 0.010523953475058079,
+      "learning_rate": 0.00015074762200466556,
+      "loss": 0.036,
+      "step": 45
+    },
+    {
+      "epoch": 0.7244094488188977,
+      "grad_norm": 0.013540665619075298,
+      "learning_rate": 0.00014849357721743168,
+      "loss": 0.0346,
+      "step": 46
+    },
+    {
+      "epoch": 0.7401574803149606,
+      "grad_norm": 0.012998640537261963,
+      "learning_rate": 0.00014620684439403962,
+      "loss": 0.0468,
+      "step": 47
+    },
+    {
+      "epoch": 0.7559055118110236,
+      "grad_norm": 0.01443515345454216,
+      "learning_rate": 0.0001438889649510956,
+      "loss": 0.0453,
+      "step": 48
+    },
+    {
+      "epoch": 0.7559055118110236,
+      "eval_loss": 0.05216333642601967,
+      "eval_runtime": 64.5137,
+      "eval_samples_per_second": 7.812,
+      "eval_steps_per_second": 0.977,
+      "step": 48
+    },
+    {
+      "epoch": 0.7716535433070866,
+      "grad_norm": 0.01463907677680254,
+      "learning_rate": 0.00014154150130018866,
+      "loss": 0.0526,
+      "step": 49
+    },
+    {
+      "epoch": 0.7874015748031497,
+      "grad_norm": 0.01614455319941044,
+      "learning_rate": 0.00013916603579471705,
+      "loss": 0.0484,
+      "step": 50
+    },
+    {
+      "epoch": 0.8031496062992126,
+      "grad_norm": 0.014042153023183346,
+      "learning_rate": 0.000136764169663272,
+      "loss": 0.0419,
+      "step": 51
+    },
+    {
+      "epoch": 0.8188976377952756,
+      "grad_norm": 0.015309924259781837,
+      "learning_rate": 0.00013433752193029886,
+      "loss": 0.0425,
+      "step": 52
+    },
+    {
+      "epoch": 0.8346456692913385,
+      "grad_norm": 0.018054217100143433,
+      "learning_rate": 0.00013188772832476188,
+      "loss": 0.0426,
+      "step": 53
+    },
+    {
+      "epoch": 0.8503937007874016,
+      "grad_norm": 0.012343033216893673,
+      "learning_rate": 0.00012941644017754964,
+      "loss": 0.0448,
+      "step": 54
+    },
+    {
+      "epoch": 0.8661417322834646,
+      "grad_norm": 0.012457596138119698,
+      "learning_rate": 0.00012692532330836346,
+      "loss": 0.0451,
+      "step": 55
+    },
+    {
+      "epoch": 0.8818897637795275,
+      "grad_norm": 0.013512413017451763,
+      "learning_rate": 0.00012441605690283915,
+      "loss": 0.0413,
+      "step": 56
+    },
+    {
+      "epoch": 0.8976377952755905,
+      "grad_norm": 0.013424846343696117,
+      "learning_rate": 0.0001218903323806595,
+      "loss": 0.0441,
+      "step": 57
+    },
+    {
+      "epoch": 0.9133858267716536,
+      "grad_norm": 0.014157367870211601,
+      "learning_rate": 0.00011934985225541998,
+      "loss": 0.0443,
+      "step": 58
+    },
+    {
+      "epoch": 0.9291338582677166,
+      "grad_norm": 0.0130110839381814,
+      "learning_rate": 0.00011679632898701649,
+      "loss": 0.0478,
+      "step": 59
+    },
+    {
+      "epoch": 0.9448818897637795,
+      "grad_norm": 0.012677576392889023,
+      "learning_rate": 0.00011423148382732853,
+      "loss": 0.0399,
+      "step": 60
+    },
+    {
+      "epoch": 0.9606299212598425,
+      "grad_norm": 0.01409006118774414,
+      "learning_rate": 0.00011165704565997593,
+      "loss": 0.0481,
+      "step": 61
+    },
+    {
+      "epoch": 0.9763779527559056,
+      "grad_norm": 0.013535700738430023,
+      "learning_rate": 0.00010907474983493144,
+      "loss": 0.0406,
+      "step": 62
+    },
+    {
+      "epoch": 0.9921259842519685,
+      "grad_norm": 0.014210895635187626,
+      "learning_rate": 0.0001064863369987743,
+      "loss": 0.0425,
+      "step": 63
+    },
+    {
+      "epoch": 1.0078740157480315,
+      "grad_norm": 0.014430968090891838,
+      "learning_rate": 0.00010389355192137377,
+      "loss": 0.0483,
+      "step": 64
+    },
+    {
+      "epoch": 1.0078740157480315,
+      "eval_loss": 0.049744635820388794,
+      "eval_runtime": 64.598,
+      "eval_samples_per_second": 7.802,
+      "eval_steps_per_second": 0.975,
+      "step": 64
+    },
+    {
+      "epoch": 1.0236220472440944,
+      "grad_norm": 0.0142066590487957,
+      "learning_rate": 0.0001012981423197931,
+      "loss": 0.0391,
+      "step": 65
+    },
+    {
+      "epoch": 1.0118110236220472,
+      "grad_norm": 0.013278558850288391,
+      "learning_rate": 9.870185768020693e-05,
+      "loss": 0.045,
+      "step": 66
+    },
+    {
+      "epoch": 1.0275590551181102,
+      "grad_norm": 0.01264102477580309,
+      "learning_rate": 9.610644807862625e-05,
+      "loss": 0.0396,
+      "step": 67
+    },
+    {
+      "epoch": 1.0433070866141732,
+      "grad_norm": 0.014591066166758537,
+      "learning_rate": 9.35136630012257e-05,
+      "loss": 0.0443,
+      "step": 68
+    },
+    {
+      "epoch": 1.0590551181102361,
+      "grad_norm": 0.013674317859113216,
+      "learning_rate": 9.092525016506858e-05,
+      "loss": 0.0493,
+      "step": 69
+    },
+    {
+      "epoch": 1.0748031496062993,
+      "grad_norm": 0.0148893091827631,
+      "learning_rate": 8.83429543400241e-05,
+      "loss": 0.0412,
+      "step": 70
+    },
+    {
+      "epoch": 1.0905511811023623,
+      "grad_norm": 0.01666112430393696,
+      "learning_rate": 8.57685161726715e-05,
+      "loss": 0.0476,
+      "step": 71
+    },
+    {
+      "epoch": 1.1062992125984252,
+      "grad_norm": 0.013044373132288456,
+      "learning_rate": 8.320367101298351e-05,
+      "loss": 0.0391,
+      "step": 72
+    },
+    {
+      "epoch": 1.1220472440944882,
+      "grad_norm": 0.014822134748101234,
+      "learning_rate": 8.065014774458003e-05,
+      "loss": 0.0406,
+      "step": 73
+    },
+    {
+      "epoch": 1.1377952755905512,
+      "grad_norm": 0.013880250044167042,
+      "learning_rate": 7.810966761934053e-05,
+      "loss": 0.0405,
+      "step": 74
+    },
+    {
+      "epoch": 1.1535433070866141,
+      "grad_norm": 0.014100627042353153,
+      "learning_rate": 7.558394309716088e-05,
+      "loss": 0.0422,
+      "step": 75
+    },
+    {
+      "epoch": 1.169291338582677,
+      "grad_norm": 0.01578613370656967,
+      "learning_rate": 7.307467669163655e-05,
+      "loss": 0.0411,
+      "step": 76
+    },
+    {
+      "epoch": 1.1850393700787403,
+      "grad_norm": 0.013604246079921722,
+      "learning_rate": 7.058355982245037e-05,
+      "loss": 0.0373,
+      "step": 77
+    },
+    {
+      "epoch": 1.2007874015748032,
+      "grad_norm": 0.016308438032865524,
+      "learning_rate": 6.811227167523815e-05,
+      "loss": 0.0472,
+      "step": 78
+    },
+    {
+      "epoch": 1.2165354330708662,
+      "grad_norm": 0.014247502200305462,
+      "learning_rate": 6.566247806970119e-05,
+      "loss": 0.0464,
+      "step": 79
+    },
+    {
+      "epoch": 1.2322834645669292,
+      "grad_norm": 0.012891258113086224,
+      "learning_rate": 6.323583033672799e-05,
+      "loss": 0.0366,
+      "step": 80
+    },
+    {
+      "epoch": 1.2322834645669292,
+      "eval_loss": 0.048343077301979065,
+      "eval_runtime": 64.7735,
+      "eval_samples_per_second": 7.781,
+      "eval_steps_per_second": 0.973,
+      "step": 80
+    },
+    {
+      "epoch": 1.2480314960629921,
+      "grad_norm": 0.015204845927655697,
+      "learning_rate": 6.083396420528298e-05,
+      "loss": 0.0438,
+      "step": 81
+    },
+    {
+      "epoch": 1.263779527559055,
+      "grad_norm": 0.01763073354959488,
+      "learning_rate": 5.845849869981137e-05,
+      "loss": 0.0466,
+      "step": 82
+    },
+    {
+      "epoch": 1.279527559055118,
+      "grad_norm": 0.013175925239920616,
+      "learning_rate": 5.611103504890444e-05,
+      "loss": 0.039,
+      "step": 83
+    },
+    {
+      "epoch": 1.295275590551181,
+      "grad_norm": 0.016102107241749763,
+      "learning_rate": 5.379315560596038e-05,
+      "loss": 0.0462,
+      "step": 84
+    },
+    {
+      "epoch": 1.311023622047244,
+      "grad_norm": 0.014480439946055412,
+      "learning_rate": 5.1506422782568345e-05,
+      "loss": 0.0402,
+      "step": 85
+    },
+    {
+      "epoch": 1.326771653543307,
+      "grad_norm": 0.017164282500743866,
+      "learning_rate": 4.9252377995334444e-05,
+      "loss": 0.0418,
+      "step": 86
+    },
+    {
+      "epoch": 1.3425196850393701,
+      "grad_norm": 0.013455789536237717,
+      "learning_rate": 4.703254062686017e-05,
+      "loss": 0.0402,
+      "step": 87
+    },
+    {
+      "epoch": 1.358267716535433,
+      "grad_norm": 0.014540264382958412,
+      "learning_rate": 4.484840700157295e-05,
+      "loss": 0.038,
+      "step": 88
+    },
+    {
+      "epoch": 1.374015748031496,
+      "grad_norm": 0.014430800452828407,
+      "learning_rate": 4.270144937709981e-05,
+      "loss": 0.0393,
+      "step": 89
+    },
+    {
+      "epoch": 1.389763779527559,
+      "grad_norm": 0.013658607378602028,
+      "learning_rate": 4.059311495186338e-05,
+      "loss": 0.0354,
+      "step": 90
+    },
+    {
+      "epoch": 1.405511811023622,
+      "grad_norm": 0.01640120893716812,
+      "learning_rate": 3.852482488956992e-05,
+      "loss": 0.0446,
+      "step": 91
+    },
+    {
+      "epoch": 1.421259842519685,
+      "grad_norm": 0.013601432554423809,
+      "learning_rate": 3.649797336124615e-05,
+      "loss": 0.035,
+      "step": 92
+    },
+    {
+      "epoch": 1.4370078740157481,
+      "grad_norm": 0.016174251213669777,
+      "learning_rate": 3.45139266054715e-05,
+      "loss": 0.0432,
+      "step": 93
+    },
+    {
+      "epoch": 1.452755905511811,
+      "grad_norm": 0.01637461967766285,
+      "learning_rate": 3.257402200743821e-05,
+      "loss": 0.0445,
+      "step": 94
+    },
+    {
+      "epoch": 1.468503937007874,
+      "grad_norm": 0.0154279675334692,
+      "learning_rate": 3.0679567197461134e-05,
+      "loss": 0.0433,
+      "step": 95
+    },
+    {
+      "epoch": 1.484251968503937,
+      "grad_norm": 0.013604864478111267,
+      "learning_rate": 2.8831839169543996e-05,
+      "loss": 0.0408,
+      "step": 96
+    },
+    {
+      "epoch": 1.484251968503937,
+      "eval_loss": 0.047206979244947433,
+      "eval_runtime": 64.4089,
+      "eval_samples_per_second": 7.825,
+      "eval_steps_per_second": 0.978,
+      "step": 96
+    },
+    {
+      "epoch": 1.5,
+      "grad_norm": 0.014560838229954243,
+      "learning_rate": 2.7032083420597e-05,
+      "loss": 0.0385,
+      "step": 97
+    },
+    {
+      "epoch": 1.515748031496063,
+      "grad_norm": 0.01328711025416851,
+      "learning_rate": 2.528151311088537e-05,
+      "loss": 0.0397,
+      "step": 98
+    },
+    {
+      "epoch": 1.531496062992126,
+      "grad_norm": 0.016683636233210564,
+      "learning_rate": 2.3581308246275103e-05,
+      "loss": 0.0398,
+      "step": 99
+    },
+    {
+      "epoch": 1.547244094488189,
+      "grad_norm": 0.012160832062363625,
+      "learning_rate": 2.1932614882827197e-05,
+      "loss": 0.0328,
+      "step": 100
+    },
+    {
+      "epoch": 1.5629921259842519,
+      "grad_norm": 0.013753566890954971,
+      "learning_rate": 2.03365443542764e-05,
+      "loss": 0.0392,
+      "step": 101
+    },
+    {
+      "epoch": 1.5787401574803148,
+      "grad_norm": 0.013317620381712914,
+      "learning_rate": 1.879417252291502e-05,
+      "loss": 0.0346,
+      "step": 102
+    },
+    {
+      "epoch": 1.594488188976378,
+      "grad_norm": 0.018083734437823296,
+      "learning_rate": 1.730653905438714e-05,
+      "loss": 0.0482,
+      "step": 103
+    },
+    {
+      "epoch": 1.610236220472441,
+      "grad_norm": 0.015288034453988075,
+      "learning_rate": 1.587464671688187e-05,
+      "loss": 0.0416,
+      "step": 104
+    },
+    {
+      "epoch": 1.625984251968504,
+      "grad_norm": 0.01392639335244894,
+      "learning_rate": 1.4499460705197998e-05,
+      "loss": 0.0355,
+      "step": 105
+    },
+    {
+      "epoch": 1.641732283464567,
+      "grad_norm": 0.014464518055319786,
+      "learning_rate": 1.3181907990135622e-05,
+      "loss": 0.0378,
+      "step": 106
+    },
+    {
+      "epoch": 1.65748031496063,
+      "grad_norm": 0.014780817553400993,
+      "learning_rate": 1.1922876693653585e-05,
+      "loss": 0.0375,
+      "step": 107
+    },
+    {
+      "epoch": 1.673228346456693,
+      "grad_norm": 0.014019722118973732,
+      "learning_rate": 1.0723215490213634e-05,
+      "loss": 0.0371,
+      "step": 108
+    },
+    {
+      "epoch": 1.688976377952756,
+      "grad_norm": 0.013653130270540714,
+      "learning_rate": 9.583733034714981e-06,
+      "loss": 0.0341,
+      "step": 109
+    },
+    {
+      "epoch": 1.704724409448819,
+      "grad_norm": 0.014543344266712666,
+      "learning_rate": 8.505197417404687e-06,
+      "loss": 0.0363,
+      "step": 110
+    },
+    {
+      "epoch": 1.720472440944882,
+      "grad_norm": 0.01664627157151699,
+      "learning_rate": 7.488335646131628e-06,
+      "loss": 0.0397,
+      "step": 111
+    },
+    {
+      "epoch": 1.736220472440945,
+      "grad_norm": 0.01318218931555748,
+      "learning_rate": 6.533833156292679e-06,
+      "loss": 0.0363,
+      "step": 112
+    },
+    {
+      "epoch": 1.736220472440945,
+      "eval_loss": 0.04670024663209915,
+      "eval_runtime": 64.4696,
+      "eval_samples_per_second": 7.818,
+      "eval_steps_per_second": 0.977,
+      "step": 112
+    },
+    {
+      "epoch": 1.7519685039370079,
+      "grad_norm": 0.014432979747653008,
+      "learning_rate": 5.6423333488018095e-06,
+      "loss": 0.0384,
+      "step": 113
+    },
+    {
+      "epoch": 1.7677165354330708,
+      "grad_norm": 0.013415982015430927,
+      "learning_rate": 4.8144371563930476e-06,
+      "loss": 0.0383,
+      "step": 114
+    },
+    {
+      "epoch": 1.7834645669291338,
+      "grad_norm": 0.01275411993265152,
+      "learning_rate": 4.050702638550275e-06,
+      "loss": 0.0344,
+      "step": 115
+    },
+    {
+      "epoch": 1.7992125984251968,
+      "grad_norm": 0.012640634551644325,
+      "learning_rate": 3.3516446053363015e-06,
+      "loss": 0.0325,
+      "step": 116
+    },
+    {
+      "epoch": 1.8149606299212597,
+      "grad_norm": 0.014171491377055645,
+      "learning_rate": 2.717734270375272e-06,
+      "loss": 0.0375,
+      "step": 117
+    },
+    {
+      "epoch": 1.8307086614173227,
+      "grad_norm": 0.014255956746637821,
+      "learning_rate": 2.1493989332218468e-06,
+      "loss": 0.0338,
+      "step": 118
+    },
+    {
+      "epoch": 1.8464566929133859,
+      "grad_norm": 0.015443972311913967,
+      "learning_rate": 1.6470216913317626e-06,
+      "loss": 0.0395,
+      "step": 119
+    },
+    {
+      "epoch": 1.8622047244094488,
+      "grad_norm": 0.015347709879279137,
+      "learning_rate": 1.2109411818274852e-06,
+      "loss": 0.0412,
+      "step": 120
+    },
+    {
+      "epoch": 1.8779527559055118,
+      "grad_norm": 0.011879626661539078,
+      "learning_rate": 8.41451353233369e-07,
+      "loss": 0.0353,
+      "step": 121
+    },
+    {
+      "epoch": 1.8937007874015748,
+      "grad_norm": 0.013861949555575848,
+      "learning_rate": 5.388012673338661e-07,
+      "loss": 0.0385,
+      "step": 122
+    },
+    {
+      "epoch": 1.909448818897638,
+      "grad_norm": 0.013466684147715569,
+      "learning_rate": 3.0319493128866396e-07,
+      "loss": 0.0392,
+      "step": 123
+    },
+    {
+      "epoch": 1.925196850393701,
+      "grad_norm": 0.014232831075787544,
+      "learning_rate": 1.3479116011769767e-07,
+      "loss": 0.0387,
+      "step": 124
+    },
+    {
+      "epoch": 1.9409448818897639,
+      "grad_norm": 0.013951584696769714,
+      "learning_rate": 3.370346964876036e-08,
+      "loss": 0.039,
+      "step": 125
+    },
+    {
+      "epoch": 1.9566929133858268,
+      "grad_norm": 0.014759634621441364,
+      "learning_rate": 0.0,
+      "loss": 0.04,
+      "step": 126
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 126,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 63,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6.624893472111329e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-126/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:556c30d4be6c1026c9924962f2173f57a6a22d7e9b29faf92f210c3d41cc0da5
+size 6200

checkpoint-63/README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: codellama/CodeLlama-7b-Instruct-hf
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.11.1

checkpoint-63/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "v_proj",
+    "o_proj",
+    "k_proj",
+    "up_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-63/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6aa654dbc8c1049e55aace02770ffcd8cec55460f85e8460d18f5e3033b7df26
+size 319876032

checkpoint-63/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9502252908d6c46b385c1e6bba06842e0b070e647658a21e54ce127e130e15b1
+size 160736084

checkpoint-63/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:efb5bf797358f404114c26785df000400f5ecb687b1e7e991084cec0641cac1b
+size 14960

checkpoint-63/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a165ec9012dbc0a6e36037dc44a987d97dd1d483d9e77ef962ba19cf7f3e43b
+size 14960

checkpoint-63/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b05004f30cf8852ff529c6a028d2cbc31d93add9f710f4a2d12cad758fb5d76
+size 14960

checkpoint-63/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ace1f4b12d474bd4affaf2d8e73c7be1be22e2dc1c93c791cccd447f56ce3582
+size 14960

checkpoint-63/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f10e46fc0292298e5d18c9f3c68fe4aaa6edbe5b6f4118ecda1eae40d48f7eee
+size 1064

checkpoint-63/special_tokens_map.json

@@ -0,0 +1,36 @@
+{
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-63/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
+size 500058

checkpoint-63/tokenizer_config.json

@@ -0,0 +1,84 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "▁<PRE>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "▁<SUF>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "▁<MID>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "▁<EOT>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "eot_token": "▁<EOT>",
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-63/trainer_state.json

@@ -0,0 +1,506 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.9921259842519685,
+  "eval_steps": 16,
+  "global_step": 63,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.015748031496062992,
+      "grad_norm": 0.034481361508369446,
+      "learning_rate": 4e-05,
+      "loss": 0.1412,
+      "step": 1
+    },
+    {
+      "epoch": 0.015748031496062992,
+      "eval_loss": 0.1612786203622818,
+      "eval_runtime": 64.5157,
+      "eval_samples_per_second": 7.812,
+      "eval_steps_per_second": 0.977,
+      "step": 1
+    },
+    {
+      "epoch": 0.031496062992125984,
+      "grad_norm": 0.029317770153284073,
+      "learning_rate": 8e-05,
+      "loss": 0.1191,
+      "step": 2
+    },
+    {
+      "epoch": 0.047244094488188976,
+      "grad_norm": 0.036621659994125366,
+      "learning_rate": 0.00012,
+      "loss": 0.1369,
+      "step": 3
+    },
+    {
+      "epoch": 0.06299212598425197,
+      "grad_norm": 0.04425783455371857,
+      "learning_rate": 0.00016,
+      "loss": 0.1321,
+      "step": 4
+    },
+    {
+      "epoch": 0.07874015748031496,
+      "grad_norm": 0.05247063934803009,
+      "learning_rate": 0.0002,
+      "loss": 0.1285,
+      "step": 5
+    },
+    {
+      "epoch": 0.09448818897637795,
+      "grad_norm": 0.03902214765548706,
+      "learning_rate": 0.00019996629653035126,
+      "loss": 0.1004,
+      "step": 6
+    },
+    {
+      "epoch": 0.11023622047244094,
+      "grad_norm": 0.03752463683485985,
+      "learning_rate": 0.00019986520883988232,
+      "loss": 0.0985,
+      "step": 7
+    },
+    {
+      "epoch": 0.12598425196850394,
+      "grad_norm": 0.03061060793697834,
+      "learning_rate": 0.00019969680506871137,
+      "loss": 0.0912,
+      "step": 8
+    },
+    {
+      "epoch": 0.14173228346456693,
+      "grad_norm": 0.034427180886268616,
+      "learning_rate": 0.00019946119873266613,
+      "loss": 0.0836,
+      "step": 9
+    },
+    {
+      "epoch": 0.15748031496062992,
+      "grad_norm": 0.03106631338596344,
+      "learning_rate": 0.00019915854864676664,
+      "loss": 0.0734,
+      "step": 10
+    },
+    {
+      "epoch": 0.1732283464566929,
+      "grad_norm": 0.02498232200741768,
+      "learning_rate": 0.00019878905881817252,
+      "loss": 0.0729,
+      "step": 11
+    },
+    {
+      "epoch": 0.1889763779527559,
+      "grad_norm": 0.03798564895987511,
+      "learning_rate": 0.00019835297830866826,
+      "loss": 0.0694,
+      "step": 12
+    },
+    {
+      "epoch": 0.2047244094488189,
+      "grad_norm": 0.046124912798404694,
+      "learning_rate": 0.00019785060106677818,
+      "loss": 0.0833,
+      "step": 13
+    },
+    {
+      "epoch": 0.2204724409448819,
+      "grad_norm": 0.02981509082019329,
+      "learning_rate": 0.00019728226572962473,
+      "loss": 0.0713,
+      "step": 14
+    },
+    {
+      "epoch": 0.23622047244094488,
+      "grad_norm": 0.02461801841855049,
+      "learning_rate": 0.0001966483553946637,
+      "loss": 0.0657,
+      "step": 15
+    },
+    {
+      "epoch": 0.25196850393700787,
+      "grad_norm": 0.04344266653060913,
+      "learning_rate": 0.00019594929736144976,
+      "loss": 0.0635,
+      "step": 16
+    },
+    {
+      "epoch": 0.25196850393700787,
+      "eval_loss": 0.06579381227493286,
+      "eval_runtime": 64.6166,
+      "eval_samples_per_second": 7.8,
+      "eval_steps_per_second": 0.975,
+      "step": 16
+    },
+    {
+      "epoch": 0.2677165354330709,
+      "grad_norm": 0.0320642925798893,
+      "learning_rate": 0.00019518556284360696,
+      "loss": 0.0656,
+      "step": 17
+    },
+    {
+      "epoch": 0.28346456692913385,
+      "grad_norm": 0.028899891301989555,
+      "learning_rate": 0.0001943576666511982,
+      "loss": 0.0462,
+      "step": 18
+    },
+    {
+      "epoch": 0.2992125984251969,
+      "grad_norm": 0.02383616380393505,
+      "learning_rate": 0.0001934661668437073,
+      "loss": 0.0649,
+      "step": 19
+    },
+    {
+      "epoch": 0.31496062992125984,
+      "grad_norm": 0.03346535563468933,
+      "learning_rate": 0.0001925116643538684,
+      "loss": 0.0546,
+      "step": 20
+    },
+    {
+      "epoch": 0.33070866141732286,
+      "grad_norm": 0.020454615354537964,
+      "learning_rate": 0.00019149480258259533,
+      "loss": 0.0538,
+      "step": 21
+    },
+    {
+      "epoch": 0.3464566929133858,
+      "grad_norm": 0.02081696316599846,
+      "learning_rate": 0.00019041626696528503,
+      "loss": 0.0526,
+      "step": 22
+    },
+    {
+      "epoch": 0.36220472440944884,
+      "grad_norm": 0.028128350153565407,
+      "learning_rate": 0.0001892767845097864,
+      "loss": 0.0593,
+      "step": 23
+    },
+    {
+      "epoch": 0.3779527559055118,
+      "grad_norm": 0.015519126318395138,
+      "learning_rate": 0.00018807712330634642,
+      "loss": 0.0528,
+      "step": 24
+    },
+    {
+      "epoch": 0.3937007874015748,
+      "grad_norm": 0.03593792766332626,
+      "learning_rate": 0.0001868180920098644,
+      "loss": 0.0481,
+      "step": 25
+    },
+    {
+      "epoch": 0.4094488188976378,
+      "grad_norm": 0.015408644452691078,
+      "learning_rate": 0.00018550053929480202,
+      "loss": 0.0479,
+      "step": 26
+    },
+    {
+      "epoch": 0.4251968503937008,
+      "grad_norm": 0.021226301789283752,
+      "learning_rate": 0.00018412535328311814,
+      "loss": 0.054,
+      "step": 27
+    },
+    {
+      "epoch": 0.4409448818897638,
+      "grad_norm": 0.01717953570187092,
+      "learning_rate": 0.0001826934609456129,
+      "loss": 0.0523,
+      "step": 28
+    },
+    {
+      "epoch": 0.4566929133858268,
+      "grad_norm": 0.019626960158348083,
+      "learning_rate": 0.00018120582747708502,
+      "loss": 0.0512,
+      "step": 29
+    },
+    {
+      "epoch": 0.47244094488188976,
+      "grad_norm": 0.019186396151781082,
+      "learning_rate": 0.0001796634556457236,
+      "loss": 0.05,
+      "step": 30
+    },
+    {
+      "epoch": 0.4881889763779528,
+      "grad_norm": 0.014989328570663929,
+      "learning_rate": 0.0001780673851171728,
+      "loss": 0.0441,
+      "step": 31
+    },
+    {
+      "epoch": 0.5039370078740157,
+      "grad_norm": 0.012519012205302715,
+      "learning_rate": 0.00017641869175372493,
+      "loss": 0.0459,
+      "step": 32
+    },
+    {
+      "epoch": 0.5039370078740157,
+      "eval_loss": 0.056131936609745026,
+      "eval_runtime": 64.4985,
+      "eval_samples_per_second": 7.814,
+      "eval_steps_per_second": 0.977,
+      "step": 32
+    },
+    {
+      "epoch": 0.5196850393700787,
+      "grad_norm": 0.01598576456308365,
+      "learning_rate": 0.00017471848688911464,
+      "loss": 0.0496,
+      "step": 33
+    },
+    {
+      "epoch": 0.5354330708661418,
+      "grad_norm": 0.017361309379339218,
+      "learning_rate": 0.000172967916579403,
+      "loss": 0.0534,
+      "step": 34
+    },
+    {
+      "epoch": 0.5511811023622047,
+      "grad_norm": 0.021230200305581093,
+      "learning_rate": 0.00017116816083045602,
+      "loss": 0.0505,
+      "step": 35
+    },
+    {
+      "epoch": 0.5669291338582677,
+      "grad_norm": 0.01624094881117344,
+      "learning_rate": 0.0001693204328025389,
+      "loss": 0.0568,
+      "step": 36
+    },
+    {
+      "epoch": 0.5826771653543307,
+      "grad_norm": 0.014916475862264633,
+      "learning_rate": 0.00016742597799256182,
+      "loss": 0.0542,
+      "step": 37
+    },
+    {
+      "epoch": 0.5984251968503937,
+      "grad_norm": 0.013211382552981377,
+      "learning_rate": 0.00016548607339452853,
+      "loss": 0.0507,
+      "step": 38
+    },
+    {
+      "epoch": 0.6141732283464567,
+      "grad_norm": 0.01305565144866705,
+      "learning_rate": 0.00016350202663875386,
+      "loss": 0.0387,
+      "step": 39
+    },
+    {
+      "epoch": 0.6299212598425197,
+      "grad_norm": 0.011459614150226116,
+      "learning_rate": 0.0001614751751104301,
+      "loss": 0.0433,
+      "step": 40
+    },
+    {
+      "epoch": 0.6456692913385826,
+      "grad_norm": 0.014712609350681305,
+      "learning_rate": 0.00015940688504813662,
+      "loss": 0.0571,
+      "step": 41
+    },
+    {
+      "epoch": 0.6614173228346457,
+      "grad_norm": 0.015662657096982002,
+      "learning_rate": 0.00015729855062290022,
+      "loss": 0.0504,
+      "step": 42
+    },
+    {
+      "epoch": 0.6771653543307087,
+      "grad_norm": 0.011235736310482025,
+      "learning_rate": 0.00015515159299842707,
+      "loss": 0.0453,
+      "step": 43
+    },
+    {
+      "epoch": 0.6929133858267716,
+      "grad_norm": 0.011984420008957386,
+      "learning_rate": 0.00015296745937313987,
+      "loss": 0.0402,
+      "step": 44
+    },
+    {
+      "epoch": 0.7086614173228346,
+      "grad_norm": 0.010523953475058079,
+      "learning_rate": 0.00015074762200466556,
+      "loss": 0.036,
+      "step": 45
+    },
+    {
+      "epoch": 0.7244094488188977,
+      "grad_norm": 0.013540665619075298,
+      "learning_rate": 0.00014849357721743168,
+      "loss": 0.0346,
+      "step": 46
+    },
+    {
+      "epoch": 0.7401574803149606,
+      "grad_norm": 0.012998640537261963,
+      "learning_rate": 0.00014620684439403962,
+      "loss": 0.0468,
+      "step": 47
+    },
+    {
+      "epoch": 0.7559055118110236,
+      "grad_norm": 0.01443515345454216,
+      "learning_rate": 0.0001438889649510956,
+      "loss": 0.0453,
+      "step": 48
+    },
+    {
+      "epoch": 0.7559055118110236,
+      "eval_loss": 0.05216333642601967,
+      "eval_runtime": 64.5137,
+      "eval_samples_per_second": 7.812,
+      "eval_steps_per_second": 0.977,
+      "step": 48
+    },
+    {
+      "epoch": 0.7716535433070866,
+      "grad_norm": 0.01463907677680254,
+      "learning_rate": 0.00014154150130018866,
+      "loss": 0.0526,
+      "step": 49
+    },
+    {
+      "epoch": 0.7874015748031497,
+      "grad_norm": 0.01614455319941044,
+      "learning_rate": 0.00013916603579471705,
+      "loss": 0.0484,
+      "step": 50
+    },
+    {
+      "epoch": 0.8031496062992126,
+      "grad_norm": 0.014042153023183346,
+      "learning_rate": 0.000136764169663272,
+      "loss": 0.0419,
+      "step": 51
+    },
+    {
+      "epoch": 0.8188976377952756,
+      "grad_norm": 0.015309924259781837,
+      "learning_rate": 0.00013433752193029886,
+      "loss": 0.0425,
+      "step": 52
+    },
+    {
+      "epoch": 0.8346456692913385,
+      "grad_norm": 0.018054217100143433,
+      "learning_rate": 0.00013188772832476188,
+      "loss": 0.0426,
+      "step": 53
+    },
+    {
+      "epoch": 0.8503937007874016,
+      "grad_norm": 0.012343033216893673,
+      "learning_rate": 0.00012941644017754964,
+      "loss": 0.0448,
+      "step": 54
+    },
+    {
+      "epoch": 0.8661417322834646,
+      "grad_norm": 0.012457596138119698,
+      "learning_rate": 0.00012692532330836346,
+      "loss": 0.0451,
+      "step": 55
+    },
+    {
+      "epoch": 0.8818897637795275,
+      "grad_norm": 0.013512413017451763,
+      "learning_rate": 0.00012441605690283915,
+      "loss": 0.0413,
+      "step": 56
+    },
+    {
+      "epoch": 0.8976377952755905,
+      "grad_norm": 0.013424846343696117,
+      "learning_rate": 0.0001218903323806595,
+      "loss": 0.0441,
+      "step": 57
+    },
+    {
+      "epoch": 0.9133858267716536,
+      "grad_norm": 0.014157367870211601,
+      "learning_rate": 0.00011934985225541998,
+      "loss": 0.0443,
+      "step": 58
+    },
+    {
+      "epoch": 0.9291338582677166,
+      "grad_norm": 0.0130110839381814,
+      "learning_rate": 0.00011679632898701649,
+      "loss": 0.0478,
+      "step": 59
+    },
+    {
+      "epoch": 0.9448818897637795,
+      "grad_norm": 0.012677576392889023,
+      "learning_rate": 0.00011423148382732853,
+      "loss": 0.0399,
+      "step": 60
+    },
+    {
+      "epoch": 0.9606299212598425,
+      "grad_norm": 0.01409006118774414,
+      "learning_rate": 0.00011165704565997593,
+      "loss": 0.0481,
+      "step": 61
+    },
+    {
+      "epoch": 0.9763779527559056,
+      "grad_norm": 0.013535700738430023,
+      "learning_rate": 0.00010907474983493144,
+      "loss": 0.0406,
+      "step": 62
+    },
+    {
+      "epoch": 0.9921259842519685,
+      "grad_norm": 0.014210895635187626,
+      "learning_rate": 0.0001064863369987743,
+      "loss": 0.0425,
+      "step": 63
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 126,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 63,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.3132684787266355e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-63/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:556c30d4be6c1026c9924962f2173f57a6a22d7e9b29faf92f210c3d41cc0da5
+size 6200

merged/config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "use_cache": false,
+  "vocab_size": 32016
+}

merged/generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.42.3"
+}

merged/pytorch_model-00001-of-00003.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eec09460c7f705c429989d93b720c45aa303bc258573dccccc8b2d553900ca20
+size 4939140185

merged/pytorch_model-00002-of-00003.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:acf107a99d458db2f568954db24e15c035f64307f7239fa4d5e439bb0444776f
+size 4947415489

merged/pytorch_model-00003-of-00003.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd2c0e5c89a7867f42c149212e8fd9391e39001278be91c40a0f88daae92c3ae
+size 3590637268

merged/pytorch_model.bin.index.json

@@ -0,0 +1,298 @@
+{
+  "metadata": {
+    "total_size": 13477093376
+  },
+  "weight_map": {
+    "lm_head.weight": "pytorch_model-00003-of-00003.bin",
+    "model.embed_tokens.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.10.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.11.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.11.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.11.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.11.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.11.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.12.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.13.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.14.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.15.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.16.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.17.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.18.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.19.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.20.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.20.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.21.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.22.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.23.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.23.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.23.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.23.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
+    "model.layers.24.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.24.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.25.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.26.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.27.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.28.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.29.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.30.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.30.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.31.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
+    "model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
+    "model.norm.weight": "pytorch_model-00003-of-00003.bin"
+  }
+}

merged/special_tokens_map.json

@@ -0,0 +1,36 @@
+{
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

merged/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
+size 500058

merged/tokenizer_config.json

@@ -0,0 +1,84 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "▁<PRE>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "▁<SUF>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "▁<MID>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "▁<EOT>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "eot_token": "▁<EOT>",
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}