Instructions to use luclima/mythos-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

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

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

Atomic Chat

luclima commited on Jul 3

Commit

58ae944

verified ·

1 Parent(s): c8e406e

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+---
+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