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 7 days ago

Discussion

Alexa8888

7 days ago

•

edited 7 days 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

Alienanthony

5 days ago

Same error here. Any resolution on your end?

MetalDrgn

5 days ago

Same

Alexa8888

2 days ago

•

edited 2 days ago

Same error here. Any resolution on your end?
I tried running 4 versions of MiniMax-M3.1-Flash from different authors, but only this IQ3_S
209 GB one worked.
https://huggingface.co/AtomicChat/MiniMax-M3.1-Flash-GGUF
It seems the archive's quantization is corrupted, or it’s incompatible with Llama.

MetalDrgn

about 15 hours ago

•

edited about 15 hours ago

It appears the architecture for M3.1 in llama isn't updated yet. The orcarouter did the same thing so it's either waiting for the incorporation in main llama or getting the PR associated with it.

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