Instructions to use Felladrin/gguf-Minueza-32M-Chat 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 Felladrin/gguf-Minueza-32M-Chat 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 Felladrin/gguf-Minueza-32M-Chat:F16 # Run inference directly in the terminal: llama cli -hf Felladrin/gguf-Minueza-32M-Chat:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Felladrin/gguf-Minueza-32M-Chat:F16 # Run inference directly in the terminal: llama cli -hf Felladrin/gguf-Minueza-32M-Chat:F16
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 Felladrin/gguf-Minueza-32M-Chat:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf Felladrin/gguf-Minueza-32M-Chat:F16
Use Docker
docker model run hf.co/Felladrin/gguf-Minueza-32M-Chat:F16
- Llama new
- LM Studio
- Jan
- Ollama
How to use Felladrin/gguf-Minueza-32M-Chat with Ollama:
ollama run hf.co/Felladrin/gguf-Minueza-32M-Chat:F16
- Unsloth Desktop
- Docker Model Runner
How to use Felladrin/gguf-Minueza-32M-Chat with Docker Model Runner:
docker model run hf.co/Felladrin/gguf-Minueza-32M-Chat:F16
- Lemonade
How to use Felladrin/gguf-Minueza-32M-Chat with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Felladrin/gguf-Minueza-32M-Chat:F16
Run and chat with the model
lemonade run user.gguf-Minueza-32M-Chat-F16
List all available models
lemonade list
- Atomic Chat
GGUF version of Felladrin/Minueza-32M-Chat.
It was not possible to quantize the model after converting it to F16/F32 GGUF, so only those versions are available, being F32 the recommended one for having better precision.
Recommended Inference Parameters
temp 0.4
min-p 0.1
top_p 1
top_k 0
repeat_penalty 1.0
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