dranger003
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README.md
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license: other
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license_name: tongyi-qianwen
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license_link: https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/LICENSE
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library_name: gguf
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pipeline_tag: text-generation
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---
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| Layers | Context | Template |
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| <pre>80</pre> | <pre>32768</pre> | <pre><\|im_start\|>system<br>{instructions}<\|im_end\|><br><\|im_start\|>user<br>{prompt}<\|im_end\|><br><\|im_start\|>assistant<br>{response}</pre> |
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license: other
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license_name: tongyi-qianwen
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license_link: https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/LICENSE
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pipeline_tag: text-generation
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library_name: gguf
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base_model: Qwen/Qwen1.5-72B-Chat
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---
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<u>**NOTE**</u>: You will need a recent build of llama.cpp to run these quants (i.e. at least commit `494c870`).
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**2023-03-07**: Updating quants using latest build as things seem to have stabilized a bit now.
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GGUF importance matrix (imatrix) quants for https://huggingface.co/Qwen/Qwen1.5-72B-Chat
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* The importance matrix was trained for ~50K tokens (105 batches of 512 tokens) using a [general purpose imatrix calibration dataset](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384).
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* The [imatrix is being used on the K-quants](https://github.com/ggerganov/llama.cpp/pull/4930) as well.
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| Layers | Context | [Template](https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/tokenizer_config.json#L31) |
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| --- | --- | --- |
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| <pre>80</pre> | <pre>32768</pre> | <pre><\|im_start\|>system<br>{instructions}<\|im_end\|><br><\|im_start\|>user<br>{prompt}<\|im_end\|><br><\|im_start\|>assistant<br>{response}</pre> |
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