Instructions to use pswitala/bielik-11b-v23-instruct-q5_k_m_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 pswitala/bielik-11b-v23-instruct-q5_k_m_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 pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M # Run inference directly in the terminal: llama cli -hf pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M # Run inference directly in the terminal: llama cli -hf pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M
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 pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M
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 pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M
Use Docker
docker model run hf.co/pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M
- LM Studio
- Jan
- Ollama
How to use pswitala/bielik-11b-v23-instruct-q5_k_m_gguf with Ollama:
ollama run hf.co/pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M
- Unsloth Desktop
- Docker Model Runner
How to use pswitala/bielik-11b-v23-instruct-q5_k_m_gguf with Docker Model Runner:
docker model run hf.co/pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M
- Lemonade
How to use pswitala/bielik-11b-v23-instruct-q5_k_m_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull pswitala/bielik-11b-v23-instruct-q5_k_m_gguf:Q5_K_M
Run and chat with the model
lemonade run user.bielik-11b-v23-instruct-q5_k_m_gguf-Q5_K_M
List all available models
lemonade list
- Atomic Chat
pswitala/bielik-11b-v23-instruct-q5_k_m_gguf
This model was converted to GGUF format from speakleash/Bielik-11B-v2.3-Instruct using llama.cpp
Refer to the original model card for more details on the model.
Really fast at rtx4080
This model run smoothly on RTX4080 with 50 tokens / sec
- Downloads last month
- 14
Hardware compatibility
Log In to add your hardware
5-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support
Model tree for pswitala/bielik-11b-v23-instruct-q5_k_m_gguf
Base model
speakleash/Bielik-11B-v2.3-Instruct