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Update Model Performance Documentation with Yi-34B variations Result #243

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Dec 9, 2023
Merged

Update Model Performance Documentation with Yi-34B variations Result #243

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doc: add sus-chat
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32 changes: 19 additions & 13 deletions README.md
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Expand Up @@ -94,6 +94,25 @@ sequence length and can be extended to 32K during inference time.

</details>

## Ecosystem

🤗 You are encouraged to create a PR and share your awesome work built on top of
the Yi series models.

- Serving
- [ScaleLLM](https://github.com/vectorch-ai/ScaleLLM#supported-models): Efficiently run Yi models locally.
- Quantization
- [TheBloke/Yi-34B-GGUF](https://huggingface.co/TheBloke/Yi-34B-GGUF)
- [TheBloke/Yi-34B-GPTQ](https://huggingface.co/TheBloke/Yi-34B-GPTQ)
- Finetuning
- [NousResearch/Nous-Capybara-34B](https://huggingface.co/NousResearch/Nous-Capybara-34B)
- [SUSTech/SUS-Chat-34B](https://huggingface.co/SUSTech/SUS-Chat-34B): This
model ranks first among all models below 70B and has outperformed the twice
larger
[deepseek-llm-67b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat).
You can check the result in [🤗 Open LLM
Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).

## Model Performance

### Base Model Performance
Expand Down Expand Up @@ -374,19 +393,6 @@ python quantization/awq/eval_quantized_model.py \

For more detailed explanation, please read the [doc](https://github.com/01-ai/Yi/tree/main/quantization/awq)

## Ecosystem

🤗 You are encouraged to create a PR and share your awesome work built on top of
the Yi series models.

- Serving
- [ScaleLLM](https://github.com/vectorch-ai/ScaleLLM#supported-models): Efficiently run Yi models locally.
- Quantization
- [TheBloke/Yi-34B-GGUF](https://huggingface.co/TheBloke/Yi-34B-GGUF)
- [TheBloke/Yi-34B-GPTQ](https://huggingface.co/TheBloke/Yi-34B-GPTQ)
- Finetuning
- [NousResearch/Nous-Capybara-34B](https://huggingface.co/NousResearch/Nous-Capybara-34B)

## FAQ

1. **What dataset was this trained with?**
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