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

Libraries

How to use unsloth/MiniMax-M3-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="unsloth/MiniMax-M3-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("unsloth/MiniMax-M3-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use unsloth/MiniMax-M3-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-GGUF:UD-Q4_K_M
# Run inference directly in the terminal:
llama cli -hf unsloth/MiniMax-M3-GGUF:UD-Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf unsloth/MiniMax-M3-GGUF:UD-Q4_K_M
# Run inference directly in the terminal:
llama cli -hf unsloth/MiniMax-M3-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/MiniMax-M3-GGUF:UD-Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf unsloth/MiniMax-M3-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/MiniMax-M3-GGUF:UD-Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf unsloth/MiniMax-M3-GGUF:UD-Q4_K_M

Use Docker

docker model run hf.co/unsloth/MiniMax-M3-GGUF:UD-Q4_K_M

LM Studio
Jan

vLLM

How to use unsloth/MiniMax-M3-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-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-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-GGUF:UD-Q4_K_M

SGLang

How to use unsloth/MiniMax-M3-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "unsloth/MiniMax-M3-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/MiniMax-M3-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 images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "unsloth/MiniMax-M3-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/MiniMax-M3-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"
						}
					}
				]
			}
		]
	}'

Ollama
How to use unsloth/MiniMax-M3-GGUF with Ollama:
```
ollama run hf.co/unsloth/MiniMax-M3-GGUF:UD-Q4_K_M
```

Unsloth Studio

How to use unsloth/MiniMax-M3-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/MiniMax-M3-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/MiniMax-M3-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/MiniMax-M3-GGUF to start chatting

How to use unsloth/MiniMax-M3-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-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/MiniMax-M3-GGUF:UD-Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use unsloth/MiniMax-M3-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-GGUF:UD-Q4_K_M

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-GGUF:UD-Q4_K_M" \
  --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"

Docker Model Runner
How to use unsloth/MiniMax-M3-GGUF with Docker Model Runner:
```
docker model run hf.co/unsloth/MiniMax-M3-GGUF:UD-Q4_K_M
```

Lemonade

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

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull unsloth/MiniMax-M3-GGUF:UD-Q4_K_M

Run and chat with the model

lemonade run user.MiniMax-M3-GGUF-UD-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use unsloth/MiniMax-M3-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-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/MiniMax-M3-GGUF:UD-Q4_K_M

Run Hermes

hermes

Atomic Chat

danielhanchen commited on Jun 12

Commit

ed3e726

verified ·

1 Parent(s): f3c729a

Upload folder using huggingface_hub

Browse files

Files changed (19) hide show

.gitattributes +18 -0
BF16/MiniMax-M3-BF16-00001-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00002-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00003-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00004-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00005-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00006-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00007-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00008-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00009-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00010-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00011-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00012-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00013-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00014-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00015-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00016-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00017-of-00018.gguf +3 -0
BF16/MiniMax-M3-BF16-00018-of-00018.gguf +3 -0

@@ -156,3 +156,21 @@ UD-Q6_K/MiniMax-M3-UD-Q6_K-00007-of-00009.gguf filter=lfs diff=lfs merge=lfs -te
 UD-Q6_K/MiniMax-M3-UD-Q6_K-00008-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
 UD-Q6_K/MiniMax-M3-UD-Q6_K-00009-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
 imatrix_unsloth.gguf_file filter=lfs diff=lfs merge=lfs -text

 UD-Q6_K/MiniMax-M3-UD-Q6_K-00008-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
 UD-Q6_K/MiniMax-M3-UD-Q6_K-00009-of-00009.gguf filter=lfs diff=lfs merge=lfs -text
 imatrix_unsloth.gguf_file filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00001-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00002-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00003-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00004-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00005-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00006-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00007-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00008-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00009-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00010-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00011-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00012-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00013-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00014-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00015-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00016-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00017-of-00018.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M3-BF16-00018-of-00018.gguf filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:7cbc22be0e8b083a2bdd9940aa7b158fcbafd97e5f073da3a0b0c38f3ca75ab1
+size 46241290816

+version https://git-lfs.github.com/spec/v1
+oid sha256:a93e402ec02cc1b74a1260ea69fce25a24a3099d23f6edfeb46863466ffc306d
+size 49639796832

+version https://git-lfs.github.com/spec/v1
+oid sha256:6e7305a772534ace49111941a0e216887b69a56203dddaad90fc6a5cb051f771
+size 49309442816

+version https://git-lfs.github.com/spec/v1
+oid sha256:7a086e34fe1e166be5f84e4d1bed793f8a5a5d502fb10832f9e691d2592b19c4
+size 49309443392

+version https://git-lfs.github.com/spec/v1
+oid sha256:0ba1a89974e4a970096960a64589fadaefdd4b300641c2bda9c4819bc1b67cc5
+size 49639796896

+version https://git-lfs.github.com/spec/v1
+oid sha256:1a74fb4628ca20392c3f7c38076173e34fac819b46c9aa68eeba972ed05ec444
+size 49309442848

+version https://git-lfs.github.com/spec/v1
+oid sha256:04796be369e819ae42e4bfd55b298538bd67db04cc20aa94dbe74b7f593e3e95
+size 49639794624

+version https://git-lfs.github.com/spec/v1
+oid sha256:92f8896c1023f25f55d8c184b115065674e9d2f89fd4401f6b70a0b24c37752c
+size 49309441696

+version https://git-lfs.github.com/spec/v1
+oid sha256:8521e5d23bcd78273e12a330be6957256974803529c049c1eff3c4b794dcf925
+size 49639792928

+version https://git-lfs.github.com/spec/v1
+oid sha256:9fb1b17259416eece085f0741c844abc17359f767ebc83b38f76185a7747d15b
+size 49309440000

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:9130b273a53d3cdcf885e58a43f3deaeaaab9ecde3bed8f66fc09563be52fe3f
+size 49639792352

+version https://git-lfs.github.com/spec/v1
+oid sha256:684613f69d11860bad292296316e7f4b5922a35660e91c895176190e2b099773
+size 14825867328