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+ ---
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+ license: mit
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+ pipeline_tag: text-generation
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+ tags:
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+ - ocean
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+ - text-generation-inference
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+ - oceangpt
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+ - mlx
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+ - mlx-my-repo
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+ language:
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+ - en
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+ datasets:
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+ - zjunlp/OceanInstruct
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+ base_model: zjunlp/OceanGPT-basic-7B-v0.1
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+ ---
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+
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+ # introvoyz041/OceanGPT-basic-7B-v0.1-mlx-4Bit
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+
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+ The Model [introvoyz041/OceanGPT-basic-7B-v0.1-mlx-4Bit](https://huggingface.co/introvoyz041/OceanGPT-basic-7B-v0.1-mlx-4Bit) was converted to MLX format from [zjunlp/OceanGPT-basic-7B-v0.1](https://huggingface.co/zjunlp/OceanGPT-basic-7B-v0.1) using mlx-lm version **0.28.3**.
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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("introvoyz041/OceanGPT-basic-7B-v0.1-mlx-4Bit")
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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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+ ```