Downloads · 30 days
6
43% of all-time downloads
mlc-ai/Qwen2-Math-7B-Instruct-q0f16-MLC
Qwen2-Math-7B-Instruct-q0f16-MLC is a machine learning model from mlc-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlc-llm.
This is the Qwen2-Math-7B-Instruct model in MLC format q0f16. The model can be used for projects MLC-LLM and WebLLM.
Downloads · 30 days
6
43% of all-time downloads
All-time downloads
14
Public
Repo size
15.2 GB
Likes
0
Public
Click a slice to open those files.
.bin15.2 GB · 100%
From the Hugging Face model README
This is the Qwen2-Math-7B-Instruct model in MLC format q0f16.
The model can be used for projects MLC-LLM and WebLLM.
Here are some examples of using this model in MLC LLM. Before running the examples, please install MLC LLM by following the installation documentation.
In command line, run
mlc_llm chat HF://mlc-ai/Qwen2-Math-7B-Instruct-q0f16-MLC
In command line, run
mlc_llm serve HF://mlc-ai/Qwen2-Math-7B-Instruct-q0f16-MLC
from mlc_llm import MLCEngine
# Create engine
model = "HF://mlc-ai/Qwen2-Math-7B-Instruct-q0f16-MLC"
engine = MLCEngine(model)
# Run chat completion in OpenAI API.
for response in engine.chat.completions.create(
messages=[{"role": "user", "content": "What is the meaning of life?"}],
model=model,
stream=True,
):
for choice in response.choices:
print(choice.delta.content, end="", flush=True)
print("\n")
engine.terminate()
For more information on MLC LLM project, please visit our documentation and GitHub repo.