71 lines
1.6 KiB
Markdown
71 lines
1.6 KiB
Markdown
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---
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base_model: CohereForAI/c4ai-command-r7b-12-2024
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language:
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- en
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- fr
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- de
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- es
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- it
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- pt
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- ja
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- ko
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- zh
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- ar
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- el
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- fa
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- pl
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- id
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- cs
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- he
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- hi
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- nl
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- ro
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- ru
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- tr
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- uk
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- vi
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library_name: transformers
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license: cc-by-nc-4.0
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tags:
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- mlx
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inference: false
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extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license) and
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acknowledge that the information you provide will be collected, used, and shared
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in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll
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receive email updates about C4AI and Cohere research, events, products and services.
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You can unsubscribe at any time.
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extra_gated_fields:
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Name: text
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Affiliation: text
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Country: country
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I agree to use this model for non-commercial use ONLY: checkbox
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---
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# mlx-community/c4ai-command-r7b-12-2024-bf16
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The Model [mlx-community/c4ai-command-r7b-12-2024-bf16](https://huggingface.co/mlx-community/c4ai-command-r7b-12-2024-bf16) was
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converted to MLX format from [CohereForAI/c4ai-command-r7b-12-2024](https://huggingface.co/CohereForAI/c4ai-command-r7b-12-2024)
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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/c4ai-command-r7b-12-2024-bf16")
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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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