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--- |
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thumbnail: https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/jg2NWmCUfPyzizm2USjMt.jpeg |
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datasets: |
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- NewEden/Orion-LIT |
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- NewEden/Orion-Asstr-Stories-16K |
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- Mielikki/Erebus-87k |
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- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small |
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- Nitral-AI/ARES-ShareGPT |
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- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned-20k |
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- NewEden/Claude-Instruct-2.7K |
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- NewEden/Claude-Instruct-5K |
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base_model: Delta-Vector/Hamanasu-15B-Instruct |
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tags: |
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- phi |
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- roleplay |
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- finetune |
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- storywriting |
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- mlx |
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- mlx-my-repo |
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--- |
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# aimeri/Hamanasu-15B-Instruct-6bit |
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The Model [aimeri/Hamanasu-15B-Instruct-6bit](https://huggingface.co/aimeri/Hamanasu-15B-Instruct-6bit) was converted to MLX format from [Delta-Vector/Hamanasu-15B-Instruct](https://huggingface.co/Delta-Vector/Hamanasu-15B-Instruct) using mlx-lm version **0.21.5**. |
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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("aimeri/Hamanasu-15B-Instruct-6bit") |
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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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