Text Generation
MLX
Safetensors
English
falcon_mamba
conversational
4-bit precision
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mlx-community/falcon-mamba-7b-4bit-instruct

The Model mlx-community/falcon-mamba-7b-4bit-instruct was converted to MLX format from tiiuae/falcon-mamba-7b-instruct using mlx-lm version 0.19.2.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/falcon-mamba-7b-4bit-instruct")

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)
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