jpacifico/Chocolatine-2-14B-Instruct-v2.0.3-mlx-6Bit
The Model jpacifico/Chocolatine-2-14B-Instruct-v2.0.3-mlx-6Bit was converted to MLX format from jpacifico/Chocolatine-2-14B-Instruct-v2.0.3 using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("jpacifico/Chocolatine-2-14B-Instruct-v2.0.3-mlx-6Bit")
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)
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Model size
15B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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6-bit
Model tree for jpacifico/Chocolatine-2-14B-Instruct-v2.0.3-mlx-6Bit
Base model
jpacifico/Chocolatine-2-14B-Instruct-v2.0.3