Upload README.md
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README.md
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@@ -86,7 +86,7 @@ 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-Python-AWQ/tree/main) | 4 | 128 | [Evol Instruct Code](https://huggingface.co/datasets/nickrosh/Evol-Instruct-Code-80k-v1) | 4096 |
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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-Python-
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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-Python-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-Python-AWQ --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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