Instructions to use ikawrakow/various-2bit-sota-gguf 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 ikawrakow/various-2bit-sota-gguf 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 ikawrakow/various-2bit-sota-gguf # Run inference directly in the terminal: llama cli -hf ikawrakow/various-2bit-sota-gguf
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ikawrakow/various-2bit-sota-gguf # Run inference directly in the terminal: llama cli -hf ikawrakow/various-2bit-sota-gguf
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 ikawrakow/various-2bit-sota-gguf # Run inference directly in the terminal: ./llama-cli -hf ikawrakow/various-2bit-sota-gguf
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 ikawrakow/various-2bit-sota-gguf # Run inference directly in the terminal: ./build/bin/llama-cli -hf ikawrakow/various-2bit-sota-gguf
Use Docker
docker model run hf.co/ikawrakow/various-2bit-sota-gguf
- LM Studio
- Jan
- Ollama
How to use ikawrakow/various-2bit-sota-gguf with Ollama:
ollama run hf.co/ikawrakow/various-2bit-sota-gguf
- Unsloth Desktop
- Docker Model Runner
How to use ikawrakow/various-2bit-sota-gguf with Docker Model Runner:
docker model run hf.co/ikawrakow/various-2bit-sota-gguf
- Lemonade
How to use ikawrakow/various-2bit-sota-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ikawrakow/various-2bit-sota-gguf
Run and chat with the model
lemonade run user.various-2bit-sota-gguf-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Various models in GGUF format quantized with a new 2-bit approach. Intended for use with llama.cpp. Requires llama.cpp PR 4773.
Update: PR 4773 has been merged into llama.cpp, but I have added new models that require PR 4856.
The new models are those that have around 2.3-2.4 bpw. They have a lower quantization error at the xpense of being ~10% larger.
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