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--- |
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library_name: transformers |
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model_name: Shisa V2.1 14B |
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license: mit |
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pipeline_tag: text-generation |
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language: |
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- ja |
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- en |
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tags: |
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- mlx |
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base_model: |
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- shisa-ai/shisa-v2.1-unphi4-14b |
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datasets: |
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- shisa-ai/shisa-v2.1-sharegpt |
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--- |
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# mlx-community/shisa-v2.1-unphi4-14b-mlx-8bit |
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The Model [mlx-community/shisa-v2.1-unphi4-14b-mlx-8bit](https://huggingface.co/mlx-community/shisa-v2.1-unphi4-14b-mlx-8bit) was converted to MLX format from [shisa-ai/shisa-v2.1-unphi4-14b](https://huggingface.co/shisa-ai/shisa-v2.1-unphi4-14b) using mlx-lm version **0.28.4**. |
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You can find other similar translation-related MLX model quants for an Apple Mac at https://huggingface.co/bibproj |
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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/shisa-v2.1-unphi4-14b-mlx-8bit") |
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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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``` |
