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Nofing
/
Qwen3-0.6B-ere-sft

Text Generation
Transformers
Safetensors
qwen3
trl
sft
text-generation-inference
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use Nofing/Qwen3-0.6B-ere-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Nofing/Qwen3-0.6B-ere-sft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="Nofing/Qwen3-0.6B-ere-sft")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Nofing/Qwen3-0.6B-ere-sft")
    model = AutoModelForCausalLM.from_pretrained("Nofing/Qwen3-0.6B-ere-sft", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use Nofing/Qwen3-0.6B-ere-sft with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "Nofing/Qwen3-0.6B-ere-sft"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Nofing/Qwen3-0.6B-ere-sft",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/Nofing/Qwen3-0.6B-ere-sft
  • SGLang

    How to use Nofing/Qwen3-0.6B-ere-sft 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 "Nofing/Qwen3-0.6B-ere-sft" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Nofing/Qwen3-0.6B-ere-sft",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    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 "Nofing/Qwen3-0.6B-ere-sft" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "Nofing/Qwen3-0.6B-ere-sft",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use Nofing/Qwen3-0.6B-ere-sft with Docker Model Runner:

    docker model run hf.co/Nofing/Qwen3-0.6B-ere-sft
Qwen3-0.6B-ere-sft
721 MB
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  • 1 contributor
History: 4 commits
Nofing's picture
Nofing
Upload model
0b212ac verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.18 kB
    Upload Qwen3ForCausalLM about 1 year ago
  • adapter_config.json
    1 kB
    Upload model about 1 year ago
  • adapter_model.safetensors
    162 MB
    xet
    Upload model about 1 year ago
  • config.json
    1.85 kB
    Upload Qwen3ForCausalLM about 1 year ago
  • generation_config.json
    214 Bytes
    Upload Qwen3ForCausalLM about 1 year ago
  • model.safetensors
    559 MB
    xet
    Upload Qwen3ForCausalLM about 1 year ago