Instructions to use jabbatheduck/OpenMythos-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use jabbatheduck/OpenMythos-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="jabbatheduck/OpenMythos-GGUF", filename="OpenMythos-27B-Q4_K.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 jabbatheduck/OpenMythos-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf jabbatheduck/OpenMythos-GGUF:Q6_K # Run inference directly in the terminal: llama-cli -hf jabbatheduck/OpenMythos-GGUF:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf jabbatheduck/OpenMythos-GGUF:Q6_K # Run inference directly in the terminal: llama-cli -hf jabbatheduck/OpenMythos-GGUF:Q6_K
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 jabbatheduck/OpenMythos-GGUF:Q6_K # Run inference directly in the terminal: ./llama-cli -hf jabbatheduck/OpenMythos-GGUF:Q6_K
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 jabbatheduck/OpenMythos-GGUF:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf jabbatheduck/OpenMythos-GGUF:Q6_K
Use Docker
docker model run hf.co/jabbatheduck/OpenMythos-GGUF:Q6_K
- LM Studio
- Jan
- Ollama
How to use jabbatheduck/OpenMythos-GGUF with Ollama:
ollama run hf.co/jabbatheduck/OpenMythos-GGUF:Q6_K
- Unsloth Studio
How to use jabbatheduck/OpenMythos-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 jabbatheduck/OpenMythos-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 jabbatheduck/OpenMythos-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jabbatheduck/OpenMythos-GGUF to start chatting
- Pi
How to use jabbatheduck/OpenMythos-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf jabbatheduck/OpenMythos-GGUF:Q6_K
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": "jabbatheduck/OpenMythos-GGUF:Q6_K" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use jabbatheduck/OpenMythos-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 jabbatheduck/OpenMythos-GGUF:Q6_K
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 jabbatheduck/OpenMythos-GGUF:Q6_K
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use jabbatheduck/OpenMythos-GGUF with Docker Model Runner:
docker model run hf.co/jabbatheduck/OpenMythos-GGUF:Q6_K
- Lemonade
How to use jabbatheduck/OpenMythos-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jabbatheduck/OpenMythos-GGUF:Q6_K
Run and chat with the model
lemonade run user.OpenMythos-GGUF-Q6_K
List all available models
lemonade list
Does not work in LM Studio
Downloaded OpenMythos-Q6_K.gguf through LM Studio, but when I attempt to run it with default settings and context length of 8k, it fails with "failed to load model". Stock Qwen 3.6 27B runs without problem with 120k context window.
LM Studio
0.4.16 (Build 2)
Arch Linux
same here with llama.cpp: error "missing tensor blk.64.attn_norm.weight"
I tried reproducing the GGUFs with convert_hf_to_gguf.py and getting the same error even before running llama-quantize on it
You are right guys, looks like its broken. Let me see what i can do abou ti.
@GPDR and @g4bw ,found the issue, it was worked over with MTP, let me work on it and start uploading new models