Chocolatine-2
Collection
Post-trained SLMs, high performance • 10 items • Updated • 5
The Model jpacifico/Chocolatine-2-14B-Instruct-v2.0.3-mlx-4Bit was converted to MLX format from jpacifico/Chocolatine-2-14B-Instruct-v2.0.3 using mlx-lm version 0.29.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("jpacifico/Chocolatine-2-14B-Instruct-v2.0.3-mlx-4Bit")
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)
4-bit
Base model
jpacifico/Chocolatine-2-14B-Instruct-v2.0.3