metadata
language:
- ru
datasets:
- IlyaGusev/saiga_scored
- IlyaGusev/saiga_preferences
license: apache-2.0
base_model: IlyaGusev/saiga_nemo_12b
tags:
- mlx
djphoenix/saiga_nemo_12b-Q6-mlx
The Model djphoenix/saiga_nemo_12b-Q6-mlx was converted to MLX format from IlyaGusev/saiga_nemo_12b using mlx-lm version 0.20.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("djphoenix/saiga_nemo_12b-Q6-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)