hensam92/wk-llama3.2-1b
The Model hensam92/wk-llama3.2-1b was converted to MLX format from unsloth/Llama-3.2-1B-Instruct using mlx-lm version 0.18.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("hensam92/wk-llama3.2-1b")
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 tree for hensam92/wk-llama3.2-1b
Base model
meta-llama/Llama-3.2-1B-Instruct
Finetuned
unsloth/Llama-3.2-1B-Instruct