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

ausboss
/
llama2-13b-supercot-loras2

Text Generation
Transformers
TensorBoard
llama
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ausboss/llama2-13b-supercot-loras2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ausboss/llama2-13b-supercot-loras2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="ausboss/llama2-13b-supercot-loras2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("ausboss/llama2-13b-supercot-loras2")
    model = AutoModelForCausalLM.from_pretrained("ausboss/llama2-13b-supercot-loras2")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use ausboss/llama2-13b-supercot-loras2 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "ausboss/llama2-13b-supercot-loras2"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "ausboss/llama2-13b-supercot-loras2",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/ausboss/llama2-13b-supercot-loras2
  • SGLang

    How to use ausboss/llama2-13b-supercot-loras2 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 "ausboss/llama2-13b-supercot-loras2" \
        --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": "ausboss/llama2-13b-supercot-loras2",
    		"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 "ausboss/llama2-13b-supercot-loras2" \
            --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": "ausboss/llama2-13b-supercot-loras2",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use ausboss/llama2-13b-supercot-loras2 with Docker Model Runner:

    docker model run hf.co/ausboss/llama2-13b-supercot-loras2
llama2-13b-supercot-loras2
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 47 commits
ausboss's picture
ausboss
Update README.md
5729b32 verified 4 months ago
  • checkpoint-1410
    Upload checkpoint-1410/adapter_model/README.md with huggingface_hub over 2 years ago
  • checkpoint-2821
    Upload checkpoint-2821/adapter_model/README.md with huggingface_hub over 2 years ago
  • checkpoint-4230
    Upload checkpoint-4230/adapter_model/README.md with huggingface_hub over 2 years ago
  • runs
    Upload runs/Sep08_23-10-16_DESKTOP-QL8MV1F/events.out.tfevents.1694232616.DESKTOP-QL8MV1F.7418.0 with huggingface_hub over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.63 kB
    Update README.md 4 months ago
  • adapter_config.json
    522 Bytes
    Upload adapter_config.json with huggingface_hub over 2 years ago
  • adapter_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    125 MB
    xet
    Upload adapter_model.bin with huggingface_hub over 2 years ago
  • config.json
    1.05 kB
    Upload config.json with huggingface_hub over 2 years ago
  • special_tokens_map.json
    96 Bytes
    Upload special_tokens_map.json with huggingface_hub over 2 years ago
  • tokenizer.model
    500 kB
    xet
    Upload tokenizer.model with huggingface_hub over 2 years ago
  • tokenizer_config.json
    875 Bytes
    Upload tokenizer_config.json with huggingface_hub over 2 years ago