Instructions to use unsloth/MiniMax-M3.1-Flash-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use unsloth/MiniMax-M3.1-Flash-GGUF 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 unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
llama cli -hf unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL
# Run inference directly in the terminal:
./build/bin/llama cli -hf unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Use Docker

docker model run hf.co/unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Llama new
LM Studio
Jan

vLLM

How to use unsloth/MiniMax-M3.1-Flash-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "unsloth/MiniMax-M3.1-Flash-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/MiniMax-M3.1-Flash-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Ollama
How to use unsloth/MiniMax-M3.1-Flash-GGUF with Ollama:
```
ollama run hf.co/unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL
```
Unsloth Desktop

How to use unsloth/MiniMax-M3.1-Flash-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/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/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use unsloth/MiniMax-M3.1-Flash-GGUF with Docker Model Runner:
```
docker model run hf.co/unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL
```

Lemonade

How to use unsloth/MiniMax-M3.1-Flash-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Run and chat with the model

lemonade run user.MiniMax-M3.1-Flash-GGUF-UD-Q4_K_XL

List all available models

lemonade list

Hermes Agent

How to use unsloth/MiniMax-M3.1-Flash-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

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/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use unsloth/MiniMax-M3.1-Flash-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "unsloth/MiniMax-M3.1-Flash-GGUF:UD-Q4_K_XL" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

wrong number of tensors; expected 1191, got 1179

by Alexa8888 - opened about 6 hours ago

Discussion

Alexa8888

about 6 hours ago

•

edited about 6 hours ago

It doesn't work in any of the Llama models—it fails across the board.
llama-b12119-bin-win-cuda-13.4-x64
llama-b12058-bin-win-cuda-13.4-x64
llama-b11355-bin-win-cuda-13.4-x64

This same release came out 11 days ago.

wrong number of tensors; expected 1191, got 1179
The hash sum of all files is perfect.

cmd
llama-server.exe -m MiniMax-M3.1-Flash-UD-Q3_K_XL-00001-of-00005.gguf --temp 1.0 --top-p 0.95 --top-k 0 --min-p 0.0 --chat-template-kwargs "{"reasoning_effort":"high"}" --host 127.0.0.1 --port 1000 --jinja

0.00.004.241 I srv llama_server: initializing ...
0.00.235.597 I cmn common_param: common_params_print_info: verbosity = 3 (adjust with the -lv N CLI arg)
0.00.236.361 W srv server_setup: security: no API key is set and CORS allows all origins (see https://github.com/ggml-org/llama.cpp/pull/25655)
0.00.245.051 I srv load_model: loading model 'MiniMax-M3.1-Flash-UD-Q3_K_XL-00001-of-00005.gguf'
0.00.845.340 E llama_model_load: error loading model: done_getting_tensors: wrong number of tensors; expected 1191, got 1179
0.00.845.346 E llama_model_load_from_file_impl: failed to load model
0.00.845.448 E common_fit_params: encountered an error while trying to fit params to free device memory: failed to load model
0.01.171.486 E llama_model_load: error loading model: done_getting_tensors: wrong number of tensors; expected 1191, got 1179
0.01.171.491 E llama_model_load_from_file_impl: failed to load model
0.01.171.511 E cmn common_init_: failed to load model 'MiniMax-M3.1-Flash-UD-Q3_K_XL-00001-of-00005.gguf'
0.01.171.513 E srv load_model: failed to load model, 'MiniMax-M3.1-Flash-UD-Q3_K_XL-00001-of-00005.gguf'
0.01.171.527 I srv operator(): operator(): cleaning up before exit...
0.01.175.821 E srv server_run_i: exiting due to model loading error

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