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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ library_name: transformers
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+ tags:
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+ - gpt
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+ - llm
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+ - large language model
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+ - h2o-llmstudio
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+ - mlx
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+ datasets:
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+ - HuggingFaceH4/ultrafeedback_binarized
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+ - Intel/orca_dpo_pairs
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+ - argilla/distilabel-math-preference-dpo
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+ - Open-Orca/OpenOrca
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+ - OpenAssistant/oasst2
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+ - HuggingFaceH4/ultrachat_200k
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+ - meta-math/MetaMathQA
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+ thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
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+ widget:
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+ - text: <|prompt|>Why is drinking water so healthy?</s><|answer|>
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+ ---
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+
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+ # mlx-community/h2o-danube-1.8b-chat-4bit-mlx
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+ This model was converted to MLX format from [`h2oai/h2o-danube-1.8b-chat`]().
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+ Refer to the [original model card](https://huggingface.co/h2oai/h2o-danube-1.8b-chat) for more details on the model.
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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/h2o-danube-1.8b-chat-4bit-mlx")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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