KYUNGYONG/DeepSeek-llama3.3-Bllossom-70B-Q2-mlx
074
KYUNGYONG/DeepSeek-llama3.3-Bllossom-70B-Q2-mlx
The Model KYUNGYONG/DeepSeek-llama3.3-Bllossom-70B-Q2-mlx was converted to MLX format from UNIVA-Bllossom/DeepSeek-llama3.3-Bllossom-70B using mlx-lm version 0.21.5.
Use with mlx
pip install mlx-lmfrom mlx_lm import load, generate
model, tokenizer = load("KYUNGYONG/DeepSeek-llama3.3-Bllossom-70B-Q2-mlx")
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)