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README.md

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+---
+license: apache-2.0
+license_link: https://huggingface.co/skt/A.X-4.0-Light/blob/main/LICENSE
+language:
+- en
+- ko
+pipeline_tag: text-generation
+library_name: transformers
+model_id: skt/A.X-4.0-Light
+developers: SKT AI Model Lab
+tags:
+- llama-cpp
+- gguf-my-repo
+base_model: skt/A.X-4.0-Light
+model-index:
+- name: A.X-4.0-Light
+  results:
+  - task:
+      type: generate_until
+      name: mmlu
+    dataset:
+      name: mmlu (chat CoT)
+      type: hails/mmlu_no_train
+    metrics:
+    - type: exact_match
+      value: 75.43
+      name: exact_match
+  - task:
+      type: generate_until
+      name: kmmlu
+    dataset:
+      name: kmmlu (chat CoT)
+      type: HAERAE-HUB/KMMLU
+    metrics:
+    - type: exact_match
+      value: 64.15
+      name: exact_match
+---
+
+# Junheelee070712/A.X-4.0-Light-Q4_K_M-GGUF
+This model was converted to GGUF format from [`skt/A.X-4.0-Light`](https://huggingface.co/skt/A.X-4.0-Light) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/skt/A.X-4.0-Light) for more details on the model.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo Junheelee070712/A.X-4.0-Light-Q4_K_M-GGUF --hf-file a.x-4.0-light-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Junheelee070712/A.X-4.0-Light-Q4_K_M-GGUF --hf-file a.x-4.0-light-q4_k_m.gguf -c 2048
+```
+
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo Junheelee070712/A.X-4.0-Light-Q4_K_M-GGUF --hf-file a.x-4.0-light-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Junheelee070712/A.X-4.0-Light-Q4_K_M-GGUF --hf-file a.x-4.0-light-q4_k_m.gguf -c 2048
+```