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@@ -78,7 +78,7 @@ Models are released as sharded safetensors files.
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  | Branch | Bits | GS | AWQ Dataset | Seq Len | Size |
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  | ------ | ---- | -- | ----------- | ------- | ---- |
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- | [main](https://huggingface.co/TheBloke/CodeLlama-13B-AWQ/tree/main) | 4 | 128 | [Evol Instruct Code](https://huggingface.co/datasets/nickrosh/Evol-Instruct-Code-80k-v1) | 4096 | 7.25 GB
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  <!-- README_AWQ.md-provided-files end -->
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@@ -90,7 +90,7 @@ Documentation on installing and using vLLM [can be found here](https://vllm.read
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  - When using vLLM as a server, pass the `--quantization awq` parameter, for example:
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  ```shell
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- python3 python -m vllm.entrypoints.api_server --model TheBloke/CodeLlama-13B-GPTQ --quantization awq
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  ```
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  When using vLLM from Python code, pass the `quantization=awq` parameter, for example:
 
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  | Branch | Bits | GS | AWQ Dataset | Seq Len | Size |
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  | ------ | ---- | -- | ----------- | ------- | ---- |
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+ | [main](https://huggingface.co/TheBloke/CodeLlama-13B-AWQ/tree/main) | 4 | 128 | [Evol Instruct Code](https://huggingface.co/datasets/nickrosh/Evol-Instruct-Code-80k-v1) | 4096 | Processing, coming soon
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  <!-- README_AWQ.md-provided-files end -->
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  - When using vLLM as a server, pass the `--quantization awq` parameter, for example:
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  ```shell
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+ python3 python -m vllm.entrypoints.api_server --model TheBloke/CodeLlama-13B-AWQ --quantization awq
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  ```
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  When using vLLM from Python code, pass the `quantization=awq` parameter, for example: