Instructions to use Chat-Error/HH2-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Chat-Error/HH2-temp with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -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 serve -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 Desktop
- 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
- Atomic Chat
Commit History
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Rename testing.gguf to THE_MODEL_MERGED_YOU_ARE_LOOKING_FOR_NOT_LORA.gguf
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Upload testing.gguf
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Upload folder using huggingface_hub
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initial commit
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