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Chat-Error
/
HH2-temp

TensorBoard
Safetensors
GGUF
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Chat-Error/HH2-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use Chat-Error/HH2-temp with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="Chat-Error/HH2-temp",
    	filename="Merged_Q5KM.gguf",
    )
    
    output = llm(
    	"Once upon a time,",
    	max_tokens=512,
    	echo=True
    )
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use Chat-Error/HH2-temp with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf Chat-Error/HH2-temp
    # Run inference directly in the terminal:
    llama-cli -hf Chat-Error/HH2-temp
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf Chat-Error/HH2-temp
    # Run inference directly in the terminal:
    llama-cli -hf Chat-Error/HH2-temp
    Use pre-built binary
    # Download pre-built binary from:
    # https://github.com/ggerganov/llama.cpp/releases
    # Start a local OpenAI-compatible server with a web UI:
    ./llama-server -hf Chat-Error/HH2-temp
    # Run inference directly in the terminal:
    ./llama-cli -hf Chat-Error/HH2-temp
    Build from source code
    git clone https://github.com/ggerganov/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-server llama-cli
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama-server -hf Chat-Error/HH2-temp
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Chat-Error/HH2-temp
    Use Docker
    docker model run hf.co/Chat-Error/HH2-temp
  • LM Studio
  • Jan
  • Ollama

    How to use Chat-Error/HH2-temp with Ollama:

    ollama run hf.co/Chat-Error/HH2-temp
  • Unsloth Studio new

    How to use Chat-Error/HH2-temp with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Chat-Error/HH2-temp to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Chat-Error/HH2-temp to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Chat-Error/HH2-temp to start chatting
  • Docker Model Runner

    How to use Chat-Error/HH2-temp with Docker Model Runner:

    docker model run hf.co/Chat-Error/HH2-temp
  • Lemonade

    How to use Chat-Error/HH2-temp with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Chat-Error/HH2-temp
    Run and chat with the model
    lemonade run user.HH2-temp-{{QUANT_TAG}}
    List all available models
    lemonade list
HH2-temp
124 GB
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  • 2 contributors
History: 35 commits
Chat-Error's picture
Chat-Error
Upload loss_f_ce.tar
a8ee2c0 verified about 2 years ago
  • Trappu
    Upload folder using huggingface_hub over 2 years ago
  • checkpoint-100
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  • checkpoint-25
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  • checkpoint-50
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  • checkpoint-75
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  • .gitattributes
    1.71 kB
    Rename testing.gguf to THE_MODEL_MERGED_YOU_ARE_LOOKING_FOR_NOT_LORA.gguf over 2 years ago
  • Merged_Q5KM.gguf
    5.13 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • THE_MODEL_MERGED_YOU_ARE_LOOKING_FOR_NOT_LORA.gguf
    6.46 GB
    xet
    Rename testing.gguf to THE_MODEL_MERGED_YOU_ARE_LOOKING_FOR_NOT_LORA.gguf over 2 years ago
  • adapter_config.json
    534 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • data.parquet
    593 MB
    xet
    Upload data.parquet about 2 years ago
  • ggml-adapter-model.bin
    83.9 MB
    xet
    Upload ggml-adapter-model.bin over 2 years ago
  • loss_f_ce.tar
    336 MB
    xet
    Upload loss_f_ce.tar about 2 years ago
  • model-00003-of-00003.safetensors
    3.65 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • special_tokens_map.json
    96 Bytes
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  • tokenizer.model
    500 kB
    xet
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  • tokenizer_config.json
    875 Bytes
    Upload folder using huggingface_hub over 2 years ago