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Upload folder using huggingface_hub

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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ aya-expanse-32b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ inference: false
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+ library_name: transformers
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+ language:
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+ - en
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+ - fr
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+ - de
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+ - es
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+ - it
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+ - pt
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+ - ja
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+ - ko
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+ - zh
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+ - ar
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+ - el
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+ - fa
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+ - pl
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+ - id
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+ - cs
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+ - he
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+ - hi
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+ - nl
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+ - ro
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+ - ru
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+ - tr
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+ - uk
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+ - vi
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+ license: cc-by-nc-4.0
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+ extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license) and
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+ acknowledge that the information you provide will be collected, used, and shared
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+ in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll
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+ receive email updates about C4AI and Cohere research, events, products and services.
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+ You can unsubscribe at any time.
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+ extra_gated_fields:
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+ Name: text
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+ Affiliation: text
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+ Country: country
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+ I agree to use this model for non-commercial use ONLY: checkbox
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+ tags:
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+ - TensorBlock
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+ - GGUF
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+ base_model: CohereForAI/aya-expanse-32b
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+ ---
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+
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+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </div>
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+ <div style="display: flex; justify-content: space-between; width: 100%;">
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+ <div style="display: flex; flex-direction: column; align-items: flex-start;">
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+ <p style="margin-top: 0.5em; margin-bottom: 0em;">
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+ Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
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+ </p>
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+ </div>
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+ </div>
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+
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+ ## CohereForAI/aya-expanse-32b - GGUF
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+
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+ This repo contains GGUF format model files for [CohereForAI/aya-expanse-32b](https://huggingface.co/CohereForAI/aya-expanse-32b).
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+
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+ The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
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+
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+ <div style="text-align: left; margin: 20px 0;">
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+ <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
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+ Run them on the TensorBlock client using your local machine ↗
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+ </a>
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+ </div>
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+
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+ ## Prompt template
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+
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+ ```
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+ <BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{system_prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
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+ ```
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+
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+ ## Model file specification
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+
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+ | Filename | Quant type | File Size | Description |
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+ | -------- | ---------- | --------- | ----------- |
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+ | [aya-expanse-32b-Q2_K.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q2_K.gguf) | Q2_K | 12.811 GB | smallest, significant quality loss - not recommended for most purposes |
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+ | [aya-expanse-32b-Q3_K_S.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q3_K_S.gguf) | Q3_K_S | 14.709 GB | very small, high quality loss |
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+ | [aya-expanse-32b-Q3_K_M.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q3_K_M.gguf) | Q3_K_M | 16.232 GB | very small, high quality loss |
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+ | [aya-expanse-32b-Q3_K_L.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q3_K_L.gguf) | Q3_K_L | 17.563 GB | small, substantial quality loss |
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+ | [aya-expanse-32b-Q4_0.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q4_0.gguf) | Q4_0 | 18.719 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [aya-expanse-32b-Q4_K_S.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q4_K_S.gguf) | Q4_K_S | 18.850 GB | small, greater quality loss |
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+ | [aya-expanse-32b-Q4_K_M.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q4_K_M.gguf) | Q4_K_M | 19.801 GB | medium, balanced quality - recommended |
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+ | [aya-expanse-32b-Q5_0.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q5_0.gguf) | Q5_0 | 22.494 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [aya-expanse-32b-Q5_K_S.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q5_K_S.gguf) | Q5_K_S | 22.494 GB | large, low quality loss - recommended |
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+ | [aya-expanse-32b-Q5_K_M.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q5_K_M.gguf) | Q5_K_M | 23.051 GB | large, very low quality loss - recommended |
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+ | [aya-expanse-32b-Q6_K.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q6_K.gguf) | Q6_K | 26.505 GB | very large, extremely low quality loss |
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+ | [aya-expanse-32b-Q8_0.gguf](https://huggingface.co/tensorblock/aya-expanse-32b-GGUF/blob/main/aya-expanse-32b-Q8_0.gguf) | Q8_0 | 34.327 GB | very large, extremely low quality loss - not recommended |
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+
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+
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+ ## Downloading instruction
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+
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+ ### Command line
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+
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+ Firstly, install Huggingface Client
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+
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+ ```shell
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+ pip install -U "huggingface_hub[cli]"
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+ ```
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+
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+ Then, downoad the individual model file the a local directory
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+
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+ ```shell
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+ huggingface-cli download tensorblock/aya-expanse-32b-GGUF --include "aya-expanse-32b-Q2_K.gguf" --local-dir MY_LOCAL_DIR
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+ ```
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+
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+ If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
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+
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+ ```shell
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+ huggingface-cli download tensorblock/aya-expanse-32b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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+ ```
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