67398d98da8e4897ceb8264b4e0300c0eab1db97
Model: Hellomaniamcoollol/Qwen2.5-Coder-1.5B-Instruct-mlx-fp16 Source: Original Platform
license, license_link, language, base_model, pipeline_tag, library_name, tags
| license | license_link | language | base_model | pipeline_tag | library_name | tags | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 | https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct/blob/main/LICENSE |
|
Qwen/Qwen2.5-Coder-1.5B-Instruct | text-generation | transformers |
|
Hellomaniamcoollol/Qwen2.5-Coder-1.5B-Instruct-mlx-fp16
The Model Hellomaniamcoollol/Qwen2.5-Coder-1.5B-Instruct-mlx-fp16 was converted to MLX format from Qwen/Qwen2.5-Coder-1.5B-Instruct using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Hellomaniamcoollol/Qwen2.5-Coder-1.5B-Instruct-mlx-fp16")
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)
Description
Languages
Jinja
100%