Instructions to use unsloth/MiMo-V2.5-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use unsloth/MiMo-V2.5-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="unsloth/MiMo-V2.5-GGUF", filename="BF16/MiMo-V2.5-BF16-00001-of-00014.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 unsloth/MiMo-V2.5-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M # Run inference directly in the terminal: llama-cli -hf unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M # Run inference directly in the terminal: llama-cli -hf unsloth/MiMo-V2.5-GGUF:UD-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 unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf unsloth/MiMo-V2.5-GGUF:UD-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 unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
Use Docker
docker model run hf.co/unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
- LM Studio
- Jan
- Ollama
How to use unsloth/MiMo-V2.5-GGUF with Ollama:
ollama run hf.co/unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
- Unsloth Studio
How to use unsloth/MiMo-V2.5-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 unsloth/MiMo-V2.5-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 unsloth/MiMo-V2.5-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/MiMo-V2.5-GGUF to start chatting
- Pi
How to use unsloth/MiMo-V2.5-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
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": "unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use unsloth/MiMo-V2.5-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 unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
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 unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use unsloth/MiMo-V2.5-GGUF with Docker Model Runner:
docker model run hf.co/unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
- Lemonade
How to use unsloth/MiMo-V2.5-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unsloth/MiMo-V2.5-GGUF:UD-Q4_K_M
Run and chat with the model
lemonade run user.MiMo-V2.5-GGUF-UD-Q4_K_M
List all available models
lemonade list
Looping
Hi Unsloth team! Has there been any progress on addressing the looping/repetition issues with this model? It seems to be inherent to the model itself. A Discord community of RTX Pro 6000 owners has been extensively testing the lukealonso nvfp4 version, but we have limited success mitigating the looping on our end. Any insights, updates, or recommended parameters would be hugely appreciated!
It can't answer simple questions even on Q8 due to thought loops. is something wrong with llamacpp, or does vllm or sglang loops too?
It can't answer simple questions even on Q8 due to thought loops. is something wrong with llamacpp, or does vllm or sglang loops too?
no its just the model itself, not the inference engines. The RTX Pro 6000 discord has kinda worked around it with some parameter tuning on a custom sglang fork with b12x but its not perfect.
--repeat-penalty 1.2 ^
--reasoning-budget 4096 ^
I faced the looping in thinking block too.