mlx-community/llama-30b-supercot

The Model mlx-community/llama-30b-supercot was converted to MLX format from ausboss/llama-30b-supercot using mlx-lm version 0.19.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/llama-30b-supercot")

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)
Downloads last month
3
Safetensors
Model size
9.15B params
Tensor type
FP16
·
U32
·
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for mlx-community/llama-30b-supercot

Quantized
(5)
this model