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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- chat |
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- mlx |
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pipeline_tag: text-generation |
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library_name: transformers |
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datasets: |
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- anthracite-org/c2_logs_32k_llama3_qwen2_v1.2 |
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- anthracite-org/kalo-opus-instruct-22k-no-refusal |
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- lodrick-the-lafted/kalo-opus-instruct-3k-filtered |
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- anthracite-org/nopm_claude_writing_fixed |
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- anthracite-org/kalo_opus_misc_240827 |
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- anthracite-org/kalo_misc_part2 |
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base_model: anthracite-org/magnum-v4-72b |
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--- |
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# mlx-community/magnum-v4-72b-4bit |
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The Model [mlx-community/magnum-v4-72b-4bit](https://huggingface.co/mlx-community/magnum-v4-72b-4bit) was |
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converted to MLX format from [anthracite-org/magnum-v4-72b](https://huggingface.co/anthracite-org/magnum-v4-72b) |
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using mlx-lm version **0.20.4**. |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("mlx-community/magnum-v4-72b-4bit") |
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prompt="hello" |
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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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response = generate(model, tokenizer, prompt=prompt, verbose=True) |
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``` |
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