Text Generation
Safetensors
English
Chinese
vllm
llama
nanbeige
int4
w4a16
gptq
auto-round
marlin
rtx-3090
conversational
4-bit precision
Instructions to use Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- vLLM
How to use Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound
- SGLang
How to use Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound with Docker Model Runner:
docker model run hf.co/Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound
Download tokenizer.json from Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 18.5 MB
-
https://huggingface.co/Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound/resolve/main/tokenizer.json
- Command line
-
hf download hf://Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Tech2wild/Nanbeige4.3-33B-W4A16-AutoRound/resolve/main/tokenizer.json
18.5 MB
- Xet hash:
- 25d369313cd30160b613691b8083e18dda6b4c31937570557d5dc7f061f2b77d
- Size of remote file:
- 18.5 MB
- SHA256:
- a002676e923776f5a59d21320d667920e732000f7762fb72e6be6e911790e060
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