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+ ---
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+ base_model: LGAI-EXAONE/EXAONE-4.0.1-32B
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+ base_model_relation: finetune
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+ license: other
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+ license_name: exaone
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+ license_link: LICENSE
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+ language:
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+ - en
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+ - ko
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+ - es
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+ tags:
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+ - lg-ai
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+ - exaone
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+ - exaone-4.0
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+ - mlx
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+ - mlx-my-repo
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+ pipeline_tag: text-generation
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+ library_name: transformers
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+ ---
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+
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+ # LogicBombaklot/EXAONE-4.0.1-32B-mlx-8Bit
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+
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+ The Model [LogicBombaklot/EXAONE-4.0.1-32B-mlx-8Bit](https://huggingface.co/LogicBombaklot/EXAONE-4.0.1-32B-mlx-8Bit) was converted to MLX format from [LGAI-EXAONE/EXAONE-4.0.1-32B](https://huggingface.co/LGAI-EXAONE/EXAONE-4.0.1-32B) using mlx-lm version **0.26.3**.
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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("LogicBombaklot/EXAONE-4.0.1-32B-mlx-8Bit")
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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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+ ```