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 Imatrix/imatrix_codellama.dat from KnutJaegersberg/2-bit-LLMs: direct link, hf CLI and curl.
- Browser
- Download file 24.9 MB
-
https://huggingface.co/KnutJaegersberg/2-bit-LLMs/resolve/main/Imatrix/imatrix_codellama.dat
- Command line
-
hf download hf://KnutJaegersberg/2-bit-LLMs/Imatrix/imatrix_codellama.dat
-
curl -L -o imatrix_codellama.dat https://huggingface.co/KnutJaegersberg/2-bit-LLMs/resolve/main/Imatrix/imatrix_codellama.dat
24.9 MB
- Xet hash:
- bc7a1f1961180c98794cf19b7de5562f443c017e217d266af9c134f797912bef
- Size of remote file:
- 24.9 MB
- SHA256:
- d1e5b675eb6c6579e2e95837d882c36a227c1fe5cacbc24f105a2555e68f49f1
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