Salesforce/xlam-function-calling-60k
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How to use rudrankriyam/hammer2.0-1.5b-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir hammer2.0-1.5b-4bit rudrankriyam/hammer2.0-1.5b-4bit
The Model rudrankriyam/hammer2.0-1.5b-4bit was converted to MLX format from MadeAgents/Hammer2.0-1.5b using mlx-lm version 0.21.4.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("rudrankriyam/hammer2.0-1.5b-4bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
4-bit
Base model
Qwen/Qwen2.5-1.5B