Instructions to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF", filename="Jinx-gpt-OSS-20B.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF # Run inference directly in the terminal: llama-cli -hf Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF # Run inference directly in the terminal: llama-cli -hf Joseph717171/Jinx-gpt-OSS-20B-MXFP4-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 Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF # Run inference directly in the terminal: ./llama-cli -hf Joseph717171/Jinx-gpt-OSS-20B-MXFP4-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 Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
Use Docker
docker model run hf.co/Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
- LM Studio
- Jan
- Ollama
How to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with Ollama:
ollama run hf.co/Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
- Unsloth Studio
How to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF to start chatting
- Pi
How to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with Docker Model Runner:
docker model run hf.co/Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
- Lemonade
How to use Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Joseph717171/Jinx-gpt-OSS-20B-MXFP4-GGUF
Run and chat with the model
lemonade run user.Jinx-gpt-OSS-20B-MXFP4-GGUF-{{QUANT_TAG}}List all available models
lemonade list
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Jinx-Gpt-OSS-20B-MXFP4-GGUF
GGUF MXFP4_MOE quant of Jinx-org/Jinx-gpt-oss-20b. This GGUF model was quantized from the fully-dequantized/Upcasted F32 of the model (including the MoE layers, which usually are kept at MXFP4). This was done to help preserve and improve the model's accuracy and precision post quantization.
filesize: (~12.11 GB)
- Downloads last month
- 18
We're not able to determine the quantization variants.