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Update README.md

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@@ -21,11 +21,20 @@ To use, pass `trust_remote_code=True` when loading the model, for example
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  ```python
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  model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-64k",
 
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  torch_dtype=torch.bfloat16,
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  device_map="auto",
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  trust_remote_code=True)
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  ```
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  ## Collaborators
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  - [bloc97](https://github.com/bloc97): Methods, paper and evals
 
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  ```python
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  model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-64k",
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+ use_flash_attention_2=True,
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  torch_dtype=torch.bfloat16,
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  device_map="auto",
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  trust_remote_code=True)
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  ```
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+ ## Benchmarks
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+
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+ | Model | Context Window | ARC-c | Hellaswag | MMLU | Truthful QA |
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+ |-------|---------------:|------:|----------:|-----:|------------:|
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+ | [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) | 8K | 59.98 | 83.31 | 64.16 | 42.15 |
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+ | [Yarn-Mistral-7b-64k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-64k) | 64K | 59.38 | 81.21 | 61.32 | 42.50 |
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+ | [Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k) | 128K | 58.87 | 80.58 | 60.64 | 42.46 |
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+
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  ## Collaborators
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  - [bloc97](https://github.com/bloc97): Methods, paper and evals