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
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -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
- Llama new
- 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
Download Trappu/train/checkpoint-302/optimizer.pt from Chat-Error/HH2-temp: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/Chat-Error/HH2-temp/resolve/main/Trappu/train/checkpoint-302/optimizer.pt
- Command line
-
hf download hf://Chat-Error/HH2-temp/Trappu/train/checkpoint-302/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Chat-Error/HH2-temp/resolve/main/Trappu/train/checkpoint-302/optimizer.pt
504 MB
- Xet hash:
- a44822263c7cf1ac9de75b7d210cfa4763d515f9841bafbd00649bdbf158a76c
- Size of remote file:
- 504 MB
- SHA256:
- 5ad3cb264b9b657e0cd9af1015cf0d5cf9c6b0610df39250b1c64f84863976dd
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