Instructions to use luclima/mythos-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use luclima/mythos-models with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="luclima/mythos-models", filename="models/DeepSeek-R1-Distill-Qwen-8B-Abliterated.i1-Q4_K_M.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 luclima/mythos-models 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 luclima/mythos-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf luclima/mythos-models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf luclima/mythos-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf luclima/mythos-models:Q4_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 luclima/mythos-models:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf luclima/mythos-models:Q4_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 luclima/mythos-models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf luclima/mythos-models:Q4_K_M
Use Docker
docker model run hf.co/luclima/mythos-models:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use luclima/mythos-models with Ollama:
ollama run hf.co/luclima/mythos-models:Q4_K_M
- Unsloth Studio
How to use luclima/mythos-models 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 luclima/mythos-models 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 luclima/mythos-models to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for luclima/mythos-models to start chatting
- Atomic Chat new
- Docker Model Runner
How to use luclima/mythos-models with Docker Model Runner:
docker model run hf.co/luclima/mythos-models:Q4_K_M
- Lemonade
How to use luclima/mythos-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull luclima/mythos-models:Q4_K_M
Run and chat with the model
lemonade run user.mythos-models-Q4_K_M
List all available models
lemonade list
| license: mit | |
| language: | |
| - en | |
| - pt | |
| - zh | |
| - ja | |
| - ko | |
| - ru | |
| - uk | |
| - fr | |
| - de | |
| - it | |
| tags: | |
| - mythos-ai | |
| - multi-agent | |
| - gguf | |
| - asian-ai | |
| - global-ai | |
| # MYTHOS AI - Models & Research Repos | |
| Hugging Face companion repository for [MYTHOS AI](https://github.com/lucbruna/mythos). | |
| ## Contents | |
| ### GGUF Models (47 GB) | |
| - Qwen3 series (0.6B, 1.7B, 4B, 8B, 14B) | |
| - Phi-4 series (mini, full) | |
| - Gemma 3 (4B, 12B) | |
| - Llama 3.3 8B | |
| - DeepSeek R1 8B | |
| - Gemma 2 2B | |
| ### Asian AI Research Repos (23 repos, 1 GB) | |
| Chinese: DeepSeek-V3/R1/V4, Qwen/A3, GLM-4/5, MiniMax-M2, RAGFlow, FastGPT, Dify, MetaGPT, PaddleOCR, DeepEP, DeepGEMM, DeepSpec, 3FS | |
| Japanese: ELYZA, rinna, Stockmark, PLaMo | |
| Korean: EXAONE, OmniServe, Upstage Solar | |
| ### Global AI Research Repos (12 repos, 2.9 GB) | |
| USA: llama-models, gemma, llamafile, whisper, NeMo | |
| Russia: YaLM-100B | |
| Ukraine: silero-models, RHVoice | |
| Canada: cohere-toolkit | |
| Europe: mistral-inference, flux | |