Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lilmeaty
/
fgfgx

Text Generation
Transformers
Safetensors
llama
mergekit
Merge
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use lilmeaty/fgfgx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lilmeaty/fgfgx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="lilmeaty/fgfgx")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("lilmeaty/fgfgx")
    model = AutoModelForCausalLM.from_pretrained("lilmeaty/fgfgx")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use lilmeaty/fgfgx with vLLM:

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

    How to use lilmeaty/fgfgx 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 "lilmeaty/fgfgx" \
        --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": "lilmeaty/fgfgx",
    		"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 "lilmeaty/fgfgx" \
            --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": "lilmeaty/fgfgx",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use lilmeaty/fgfgx with Docker Model Runner:

    docker model run hf.co/lilmeaty/fgfgx
fgfgx
1.27 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
Hjgugugjhuhjggg's picture
Hjgugugjhuhjggg
Update config.json
3fdb4b2 verified over 1 year ago
  • .gitattributes
    1.57 kB
    Upload folder using huggingface_hub over 1 year ago
  • README.md
    653 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • config.json
    877 Bytes
    Update config.json over 1 year ago
  • mergekit_config.yml
    123 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • model-00001-of-00002.safetensors
    262 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • model-00002-of-00002.safetensors
    989 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • model.safetensors.index.json
    961 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • special_tokens_map.json
    449 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • tokenizer.json
    17.2 MB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • tokenizer_config.json
    50.7 kB
    Upload folder using huggingface_hub over 1 year ago