Instructions to use KnutJaegersberg/2-bit-LLMs 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 KnutJaegersberg/2-bit-LLMs 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 KnutJaegersberg/2-bit-LLMs # Run inference directly in the terminal: llama cli -hf KnutJaegersberg/2-bit-LLMs
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf KnutJaegersberg/2-bit-LLMs # Run inference directly in the terminal: llama cli -hf KnutJaegersberg/2-bit-LLMs
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 KnutJaegersberg/2-bit-LLMs # Run inference directly in the terminal: ./build/bin/llama cli -hf KnutJaegersberg/2-bit-LLMs
Use Docker
docker model run hf.co/KnutJaegersberg/2-bit-LLMs
- Llama new
- LM Studio
- Jan
- vLLM
How to use KnutJaegersberg/2-bit-LLMs with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "KnutJaegersberg/2-bit-LLMs" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KnutJaegersberg/2-bit-LLMs", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/KnutJaegersberg/2-bit-LLMs
- Ollama
How to use KnutJaegersberg/2-bit-LLMs with Ollama:
ollama run hf.co/KnutJaegersberg/2-bit-LLMs
- Unsloth Desktop
- Docker Model Runner
How to use KnutJaegersberg/2-bit-LLMs with Docker Model Runner:
docker model run hf.co/KnutJaegersberg/2-bit-LLMs
- Lemonade
How to use KnutJaegersberg/2-bit-LLMs with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull KnutJaegersberg/2-bit-LLMs
Run and chat with the model
lemonade run user.2-bit-LLMs-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download notux-xs.gguf from KnutJaegersberg/2-bit-LLMs: direct link, hf CLI and curl.
- Browser
- Download file 13.7 GB
-
https://huggingface.co/KnutJaegersberg/2-bit-LLMs/resolve/main/notux-xs.gguf
- Command line
-
hf download hf://KnutJaegersberg/2-bit-LLMs/notux-xs.gguf
-
curl -L -o notux-xs.gguf https://huggingface.co/KnutJaegersberg/2-bit-LLMs/resolve/main/notux-xs.gguf
13.7 GB
- Xet hash:
- 487fd99d17af74caa6337097a5235868abce2576b3d4553abb3aed68499e57a7
- Size of remote file:
- 13.7 GB
- SHA256:
- 95b73e9017477baef751ef0c8d7b950e9ff11bd0ec5d66865fba73a87efb6e6f
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