c4ai-command-r7b-12-2024-bf16/README.md

base_model, language, library_name, license, tags, inference, extra_gated_prompt, extra_gated_fields

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

mlx-community/c4ai-command-r7b-12-2024-bf16

The Model mlx-community/c4ai-command-r7b-12-2024-bf16 was converted to MLX format from CohereForAI/c4ai-command-r7b-12-2024 using mlx-lm version 0.20.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/c4ai-command-r7b-12-2024-bf16")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)