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README.md ADDED
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+ ---
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+ base_model: karakuri-ai/karakuri-lm-8x7b-chat-v0.1
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+ datasets:
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+ - OpenAssistant/oasst2
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+ - nvidia/HelpSteer
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+ language:
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+ - en
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+ - ja
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+ library_name: transformers
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+ license: apache-2.0
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+ tags:
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+ - mixtral
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+ - steerlm
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+ - mlx
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+ model-index:
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+ - name: karakuri-ai/karakuri-lm-8x7b-chat-v0.1
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MT-Bench
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+ type: unknown
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+ metrics:
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+ - type: unknown
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+ value: 7.39375
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+ name: score
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+ - type: unknown
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+ value: 7.540625
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+ name: score
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+ source:
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+ url: https://huggingface.co/spaces/lmsys/mt-bench
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+ ---
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+
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+ # mlx-community/karakuri-lm-8x7b-chat-v0.1
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+
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+ The Model [mlx-community/karakuri-lm-8x7b-chat-v0.1](https://huggingface.co/mlx-community/karakuri-lm-8x7b-chat-v0.1) was converted to MLX format from [karakuri-ai/karakuri-lm-8x7b-chat-v0.1](https://huggingface.co/karakuri-ai/karakuri-lm-8x7b-chat-v0.1) using mlx-lm version **0.19.0**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/karakuri-lm-8x7b-chat-v0.1")
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+
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+ prompt="hello"
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+
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+ if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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+ messages = [{"role": "user", "content": prompt}]
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+ prompt = tokenizer.apply_chat_template(
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+ messages, tokenize=False, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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+ }
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