SmolLM2-1.7B-Instruct-q4f16_1-MLC
This is the SmolLM2-1.7B-Instruct model in MLC format q4f16_1
.
The model can be used for projects MLC-LLM and WebLLM.
Example Usage
Here are some examples of using this model in MLC LLM. Before running the examples, please install MLC LLM by following the installation documentation.
Chat
In command line, run
mlc_llm chat HF://mlc-ai/SmolLM2-1.7B-Instruct-q4f16_1-MLC
REST Server
In command line, run
mlc_llm serve HF://mlc-ai/SmolLM2-1.7B-Instruct-q4f16_1-MLC
Python API
from mlc_llm import MLCEngine
# Create engine
model = "HF://mlc-ai/SmolLM2-1.7B-Instruct-q4f16_1-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()
Documentation
For more information on MLC LLM project, please visit our documentation and GitHub repo.
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Model tree for mlc-ai/SmolLM2-1.7B-Instruct-q4f16_1-MLC
Base model
HuggingFaceTB/SmolLM2-1.7B
Quantized
HuggingFaceTB/SmolLM2-1.7B-Instruct