VCoder-120b-1.0-q8-hi-mlx

Uploaded for testing, get it while it's hot

Good coding model: if it gets 2 likes, it stays in catalog. Was hoping for 5, just 2 would do.

-G

This model VCoder-120b-1.0-q8-hi-mlx was converted to MLX format from EpistemeAI/VCoder-120b-1.0 using mlx-lm version 0.28.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("VCoder-120b-1.0-q8-hi-mlx")

prompt = "hello"

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

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