Instructions to use Kodedsoft/MiniMax-M2.7-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kodedsoft/MiniMax-M2.7-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Kodedsoft/MiniMax-M2.7-GGUF",
	filename="BF16/MiniMax-M2.7-BF16-00001-of-00010.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M

Use Docker

docker model run hf.co/Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M

LM Studio
Jan

vLLM

How to use Kodedsoft/MiniMax-M2.7-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Kodedsoft/MiniMax-M2.7-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": "Kodedsoft/MiniMax-M2.7-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M

Ollama
How to use Kodedsoft/MiniMax-M2.7-GGUF with Ollama:
```
ollama run hf.co/Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M
```

Unsloth Studio

How to use Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Kodedsoft/MiniMax-M2.7-GGUF to start chatting

How to use Kodedsoft/MiniMax-M2.7-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Kodedsoft/MiniMax-M2.7-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": "Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use Kodedsoft/MiniMax-M2.7-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Kodedsoft/MiniMax-M2.7-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 "Kodedsoft/MiniMax-M2.7-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 Kodedsoft/MiniMax-M2.7-GGUF with Docker Model Runner:
```
docker model run hf.co/Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M
```

Lemonade

How to use Kodedsoft/MiniMax-M2.7-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Kodedsoft/MiniMax-M2.7-GGUF:UD-Q4_K_M

Run and chat with the model

lemonade run user.MiniMax-M2.7-GGUF-UD-Q4_K_M

List all available models

lemonade list

Kodedsoft

danielhanchen commited on May 6

Commit

b689b0b

0 Parent(s):

Duplicate from unsloth/MiniMax-M2.7-GGUF

Browse files

Co-authored-by: Daniel (Unsloth) <danielhanchen@users.noreply.huggingface.co>

This view is limited to 50 files because it contains too many changes. See raw diff

Files changed (50) hide show

.gitattributes +137 -0
BF16/MiniMax-M2.7-BF16-00001-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00002-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00003-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00004-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00005-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00006-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00007-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00008-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00009-of-00010.gguf +3 -0
BF16/MiniMax-M2.7-BF16-00010-of-00010.gguf +3 -0
MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00001-of-00004.gguf +3 -0
MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00002-of-00004.gguf +3 -0
MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00003-of-00004.gguf +3 -0
MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00004-of-00004.gguf +3 -0
Q8_0/MiniMax-M2.7-Q8_0-00001-of-00006.gguf +3 -0
Q8_0/MiniMax-M2.7-Q8_0-00002-of-00006.gguf +3 -0
Q8_0/MiniMax-M2.7-Q8_0-00003-of-00006.gguf +3 -0
Q8_0/MiniMax-M2.7-Q8_0-00004-of-00006.gguf +3 -0
Q8_0/MiniMax-M2.7-Q8_0-00005-of-00006.gguf +3 -0
Q8_0/MiniMax-M2.7-Q8_0-00006-of-00006.gguf +3 -0
README.md +155 -0
UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00001-of-00003.gguf +3 -0
UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00002-of-00003.gguf +3 -0
UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00003-of-00003.gguf +3 -0
UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00001-of-00003.gguf +3 -0
UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00002-of-00003.gguf +3 -0
UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00003-of-00003.gguf +3 -0
UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00001-of-00003.gguf +3 -0
UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00002-of-00003.gguf +3 -0
UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00003-of-00003.gguf +3 -0
UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00001-of-00003.gguf +3 -0
UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00002-of-00003.gguf +3 -0
UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00003-of-00003.gguf +3 -0
UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00001-of-00003.gguf +3 -0
UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00002-of-00003.gguf +3 -0
UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00003-of-00003.gguf +3 -0
UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00001-of-00004.gguf +3 -0
UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00002-of-00004.gguf +3 -0
UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00003-of-00004.gguf +3 -0
UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00004-of-00004.gguf +3 -0
UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00001-of-00004.gguf +3 -0
UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00002-of-00004.gguf +3 -0
UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00003-of-00004.gguf +3 -0
UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00004-of-00004.gguf +3 -0
UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00001-of-00003.gguf +3 -0
UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00002-of-00003.gguf +3 -0
UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00003-of-00003.gguf +3 -0
UD-Q3_K_M/MiniMax-M2.7-UD-Q3_K_M-00001-of-00004.gguf +3 -0
UD-Q3_K_M/MiniMax-M2.7-UD-Q3_K_M-00002-of-00004.gguf +3 -0

.gitattributes ADDED Viewed

	@@ -0,0 +1,137 @@

+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00003-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_XL/MiniMax-M2.7-UD-Q5_K_XL-00001-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_XL/MiniMax-M2.7-UD-Q5_K_XL-00002-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_XL/MiniMax-M2.7-UD-Q5_K_XL-00003-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_XL/MiniMax-M2.7-UD-Q5_K_XL-00004-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_XL/MiniMax-M2.7-UD-Q5_K_XL-00005-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00003-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_XL/MiniMax-M2.7-UD-Q3_K_XL-00001-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_XL/MiniMax-M2.7-UD-Q3_K_XL-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_XL/MiniMax-M2.7-UD-Q3_K_XL-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_XL/MiniMax-M2.7-UD-Q3_K_XL-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00003-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00001-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00003-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_XL/MiniMax-M2.7-UD-Q4_K_XL-00001-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_XL/MiniMax-M2.7-UD-Q4_K_XL-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_XL/MiniMax-M2.7-UD-Q4_K_XL-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_XL/MiniMax-M2.7-UD-Q4_K_XL-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00003-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_S/MiniMax-M2.7-UD-Q5_K_S-00001-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_S/MiniMax-M2.7-UD-Q5_K_S-00002-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_S/MiniMax-M2.7-UD-Q5_K_S-00003-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_S/MiniMax-M2.7-UD-Q5_K_S-00004-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_S/MiniMax-M2.7-UD-Q5_K_S-00005-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00003-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_S/MiniMax-M2.7-UD-Q3_K_S-00001-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_S/MiniMax-M2.7-UD-Q3_K_S-00002-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_S/MiniMax-M2.7-UD-Q3_K_S-00003-of-00003.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_S/MiniMax-M2.7-UD-Q4_K_S-00001-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_S/MiniMax-M2.7-UD-Q4_K_S-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_S/MiniMax-M2.7-UD-Q4_K_S-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_S/MiniMax-M2.7-UD-Q4_K_S-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_M/MiniMax-M2.7-UD-Q3_K_M-00001-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_M/MiniMax-M2.7-UD-Q3_K_M-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_M/MiniMax-M2.7-UD-Q3_K_M-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q3_K_M/MiniMax-M2.7-UD-Q3_K_M-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q8_K_XL/MiniMax-M2.7-UD-Q8_K_XL-00001-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q8_K_XL/MiniMax-M2.7-UD-Q8_K_XL-00002-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q8_K_XL/MiniMax-M2.7-UD-Q8_K_XL-00003-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q8_K_XL/MiniMax-M2.7-UD-Q8_K_XL-00004-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q8_K_XL/MiniMax-M2.7-UD-Q8_K_XL-00005-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q8_K_XL/MiniMax-M2.7-UD-Q8_K_XL-00006-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_M/MiniMax-M2.7-UD-Q5_K_M-00001-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_M/MiniMax-M2.7-UD-Q5_K_M-00002-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_M/MiniMax-M2.7-UD-Q5_K_M-00003-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_M/MiniMax-M2.7-UD-Q5_K_M-00004-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q5_K_M/MiniMax-M2.7-UD-Q5_K_M-00005-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+Q8_0/MiniMax-M2.7-Q8_0-00001-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+Q8_0/MiniMax-M2.7-Q8_0-00002-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+Q8_0/MiniMax-M2.7-Q8_0-00003-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+Q8_0/MiniMax-M2.7-Q8_0-00004-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+Q8_0/MiniMax-M2.7-Q8_0-00005-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+Q8_0/MiniMax-M2.7-Q8_0-00006-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00001-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00001-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K_XL/MiniMax-M2.7-UD-Q6_K_XL-00001-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K_XL/MiniMax-M2.7-UD-Q6_K_XL-00002-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K_XL/MiniMax-M2.7-UD-Q6_K_XL-00003-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K_XL/MiniMax-M2.7-UD-Q6_K_XL-00004-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K_XL/MiniMax-M2.7-UD-Q6_K_XL-00005-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K_XL/MiniMax-M2.7-UD-Q6_K_XL-00006-of-00006.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K/MiniMax-M2.7-UD-Q6_K-00001-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K/MiniMax-M2.7-UD-Q6_K-00002-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K/MiniMax-M2.7-UD-Q6_K-00003-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K/MiniMax-M2.7-UD-Q6_K-00004-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q6_K/MiniMax-M2.7-UD-Q6_K-00005-of-00005.gguf filter=lfs diff=lfs merge=lfs -text
+imatrix_unsloth.gguf_file filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00001-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00002-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00003-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00004-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00005-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00006-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00007-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00008-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00009-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+BF16/MiniMax-M2.7-BF16-00010-of-00010.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_M/MiniMax-M2.7-UD-Q4_K_M-00001-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_M/MiniMax-M2.7-UD-Q4_K_M-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_M/MiniMax-M2.7-UD-Q4_K_M-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+UD-Q4_K_M/MiniMax-M2.7-UD-Q4_K_M-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text

BF16/MiniMax-M2.7-BF16-00001-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:48d1ddf1a5c3c1a72e0bb67546d9afbe2d49facb3483076659c5f710deda735b
+size 47778861952

BF16/MiniMax-M2.7-BF16-00002-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:84232c869232b007ef5a950a2924e3220cc3c345f95c9875498a3c61201a169d
+size 48957350464

BF16/MiniMax-M2.7-BF16-00003-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:8c7d850d4cfe83b7ece55c81e777a8b0b6c89d5142c93213da9ee385775799d6
+size 48866069536

BF16/MiniMax-M2.7-BF16-00004-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:841c6c683b33d62e436dd54b490140c5571e7d07ae0d3bf298915cd5a71eb296
+size 48957350496

BF16/MiniMax-M2.7-BF16-00005-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:08556ec65bb8ab8136bee18bf4617cbd4f20651500c010e8e69ab5fc33033900
+size 48957350496

BF16/MiniMax-M2.7-BF16-00006-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:cf8d87703d73020d6958e5e4f3825015d6f0c81f943303f41668122633a792c2
+size 48866069536

BF16/MiniMax-M2.7-BF16-00007-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:83cdc0bcc303fc639503893b83ea0c0ee27ffc0213a937c4be6171581fc8641d
+size 48957350496

BF16/MiniMax-M2.7-BF16-00008-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:4972b6e2d9d0a5a1acc9b07e6fc814c4c8c0a380ad0b6d262b176cbafda7cff4
+size 48957350496

BF16/MiniMax-M2.7-BF16-00009-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:573c5a28963057cefe07e2aff170c4ddcae90a238a86c438b3234572d4db81d7
+size 48866069536

BF16/MiniMax-M2.7-BF16-00010-of-00010.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:5756826061f4c4df37127d66178854b0631f1b89bd7c7406f7bad22e443b4c33
+size 18323201920

MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00001-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:668834b4fbaedeb546f416417506d66413a70f8ef04a2566a30cda240c638fc9
+size 8237856

MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00002-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:71980c2634461a0aa73517a73cb7835a2d00e39af52ebebd2bcccd09fd8c0f3d
+size 49789637760

MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00003-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:b158570ffd4280cedce363546d76a8f6f69bf367af0ee3fcb237b54dd064fa96
+size 49770222944

MXFP4_MOE/MiniMax-M2.7-MXFP4_MOE-00004-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:42ddf900d0bf4728a5256b8cef4a356b0bdbf941fe3dbf093554feb9d82a4dbe
+size 36607730752

Q8_0/MiniMax-M2.7-Q8_0-00001-of-00006.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:a0991934ab08119f12f00af0ef81cba73e995a07dc5b53f4dd4c6f8dfa86b4e4
+size 8237824

Q8_0/MiniMax-M2.7-Q8_0-00002-of-00006.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:f5ee2688f9c625917554d9aec273eecd4ef5d270ed391dbbc4a2e02b6617bf4e
+size 49440697536

Q8_0/MiniMax-M2.7-Q8_0-00003-of-00006.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:a3eab2367b732cab02775df7e4a8661f5f52be6ebedd88f3c8243ceeaf121d51
+size 49421282656

Q8_0/MiniMax-M2.7-Q8_0-00004-of-00006.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:c68dc023e46c5ca11afe0d7323c54a8139b46327ee0abc50a1d42431f9a95854
+size 49374447520

Q8_0/MiniMax-M2.7-Q8_0-00005-of-00006.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:416ef6f47ee60b550d4bb522cb80611a883ffd09010bd1a4707b674cb7810b2a
+size 49418124544

Q8_0/MiniMax-M2.7-Q8_0-00006-of-00006.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:1a3827ef6b20595bae9e5f19d1f7788e39f1038c8fd2ef63717d6ffb93f6af68
+size 45474082912

README.md ADDED Viewed

	@@ -0,0 +1,155 @@

+---
+pipeline_tag: text-generation
+license: other
+license_name: modified-mit
+license_link: https://github.com/MiniMax-AI/MiniMax-M2.7/blob/main/LICENSE
+base_model:
+- MiniMaxAI/MiniMax-M2.7
+tags:
+- minimax_m2
+- unsloth
+---
+<div>
+  <p style="margin-bottom: 0; margin-top: 0;">
+    <h1 style="margin-top: 0rem;">See how to run MiniMax-M2.7 locally - <a href="https://unsloth.ai/docs/models/minimax-m27">Read our Guide!</a></h1>
+  </p>
+<p style="margin-top: 0;margin-bottom: 0;">
+    <em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
+  </p>
+  <div style="margin-top: 0;display: flex; gap: 5px; align-items: center; ">
+    <a href="https://github.com/unslothai/unsloth/">
+      <img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
+    </a>
+    <a href="https://discord.gg/unsloth">
+      <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
+    </a>
+    <a href="https://unsloth.ai/docs/models/minimax-m27">
+      <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
+    </a>
+  </div>
+</div>
+You can follow instructions in our [guide here](https://unsloth.ai/docs/models/minimax-m27).<br>
+Do NOT use CUDA 13.2 to run GGUFs.
+---
+<div align="center">
+<svg width="60%" height="auto" viewBox="0 0 144 48" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M26.6782 7.96523C26.6782 7.02436 25.913 6.26087 24.9739 6.26087C24.0348 6.26087 23.2695 7.0261 23.2695 7.96523V36.2139C23.2695 38.4 21.4904 40.1791 19.3043 40.1791C17.1183 40.1791 15.3391 38.4 15.3391 36.2139V18.0904C15.3391 17.1496 14.5739 16.3861 13.6348 16.3861C12.6956 16.3861 11.9304 17.1513 11.9304 18.0904V25.7722C11.9304 27.9583 10.1513 29.7374 7.96518 29.7374C5.7791 29.7374 4 27.9583 4 25.7722V22.9878C4 22.3635 4.50609 21.8574 5.13043 21.8574C5.75478 21.8574 6.26087 22.3635 6.26087 22.9878V25.7722C6.26087 26.713 7.02605 27.4765 7.96518 27.4765C8.90431 27.4765 9.66954 26.7113 9.66954 25.7722V18.0904C9.66954 15.9044 11.4487 14.1252 13.6348 14.1252C15.8209 14.1252 17.6 15.9044 17.6 18.0904V36.2139C17.6 37.1548 18.3652 37.9183 19.3043 37.9183C20.2435 37.9183 21.0087 37.153 21.0087 36.2139V25.1322V7.96523C21.0087 5.77914 22.7878 4 24.9739 4C27.16 4 28.9391 5.77914 28.9391 7.96523V31.3565C28.9391 31.9809 28.433 32.487 27.8087 32.487C27.1843 32.487 26.6782 31.9809 26.6782 31.3565V7.96523ZM47.6539 14.1252C45.4678 14.1252 43.6887 15.9044 43.6887 18.0904V33.2296C43.6887 34.1704 42.9235 34.9339 41.9843 34.9339C41.0452 34.9339 40.28 34.1687 40.28 33.2296V7.96523C40.28 5.77914 38.5008 4 36.3148 4C34.1287 4 32.3496 5.77914 32.3496 7.96523V40.0348C32.3496 40.9756 31.5843 41.7391 30.6452 41.7391C29.7061 41.7391 28.9409 40.9739 28.9409 40.0348V36.0643C28.9409 35.44 28.4348 34.9339 27.8104 34.9339C27.1861 34.9339 26.68 35.44 26.68 36.0643V40.0348C26.68 42.2209 28.4591 44 30.6452 44C32.8313 44 34.6104 42.2209 34.6104 40.0348V7.96523C34.6104 7.02436 35.3756 6.26087 36.3148 6.26087C37.2539 6.26087 38.0191 7.0261 38.0191 7.96523V33.2296C38.0191 35.4156 39.7982 37.1948 41.9843 37.1948C44.1704 37.1948 45.9496 35.4156 45.9496 33.2296V18.0904C45.9496 17.1496 46.7148 16.3861 47.6539 16.3861C48.593 16.3861 49.3582 17.1513 49.3582 18.0904V31.3565C49.3582 31.9809 49.8643 32.487 50.4887 32.487C51.113 32.487 51.6191 31.9809 51.6191 31.3565V18.0904C51.6191 15.9044 49.84 14.1252 47.6539 14.1252Z" fill="url(#paint0_linear_17_483)"/>
+<path d="M68.7671 16.5615H71.2541C71.3254 16.5615 71.3845 16.5859 71.435 16.6363C71.4836 16.6868 71.5097 16.7459 71.5097 16.8172V31.1824C71.5097 31.2537 71.4854 31.3128 71.435 31.3633C71.3845 31.4137 71.3254 31.4381 71.2541 31.4381H68.7671C68.6958 31.4381 68.6367 31.4137 68.5862 31.3633C68.5358 31.3146 68.5115 31.2537 68.5115 31.1824V21.812C68.5115 21.7563 68.4976 21.7268 68.4697 21.7268C68.4419 21.7268 68.4123 21.7476 68.3845 21.7911L66.1323 25.318C66.061 25.4311 65.9619 25.4885 65.8349 25.4885H64.581C64.4541 25.4885 64.3549 25.4328 64.2836 25.318L62.0315 21.7911C62.0036 21.7494 61.9741 21.7302 61.9462 21.7372C61.9184 21.7441 61.9045 21.7772 61.9045 21.8328V31.1824C61.9045 31.2537 61.8802 31.3128 61.8297 31.3633C61.7793 31.4137 61.7202 31.4381 61.6489 31.4381H59.1619C59.0906 31.4381 59.0315 31.4137 58.981 31.3633C58.9306 31.3146 58.9062 31.2537 58.9062 31.1824V16.8172C58.9062 16.7459 58.9306 16.6868 58.981 16.6363C59.0315 16.5859 59.0906 16.5615 59.1619 16.5615H61.6489C61.7758 16.5615 61.8749 16.6189 61.9462 16.732L65.1341 21.6833C65.1758 21.7685 65.2193 21.7685 65.261 21.6833L68.4697 16.732C68.541 16.6189 68.6402 16.5615 68.7671 16.5615Z" fill="currentColor"/>
+<path d="M74.1764 31.3633C74.1259 31.3146 74.1016 31.2537 74.1016 31.1824V16.8172C74.1016 16.7459 74.1259 16.6868 74.1764 16.6363C74.2268 16.5859 74.2859 16.5615 74.3572 16.5615H76.8442C76.9155 16.5615 76.9746 16.5859 77.0251 16.6363C77.0737 16.6868 77.0998 16.7459 77.0998 16.8172V31.1824C77.0998 31.2537 77.0755 31.3128 77.0251 31.3633C76.9746 31.4137 76.9155 31.4381 76.8442 31.4381H74.3572C74.2859 31.4381 74.2268 31.4137 74.1764 31.3633Z" fill="currentColor"/>
+<path d="M88.3066 16.6361C88.3553 16.5874 88.4162 16.5613 88.4875 16.5613H90.9744C91.0457 16.5613 91.1049 16.5857 91.1553 16.6361C91.204 16.6865 91.2301 16.7457 91.2301 16.817V31.1822C91.2301 31.2535 91.2057 31.3126 91.1553 31.363C91.1049 31.4135 91.0457 31.4378 90.9744 31.4378H88.5727C88.4301 31.4378 88.331 31.3822 88.2753 31.2674L82.771 22.1717C82.7431 22.13 82.7136 22.1109 82.6858 22.1178C82.6579 22.1248 82.644 22.1578 82.644 22.2135L82.6858 31.1805C82.6858 31.2518 82.6614 31.3109 82.611 31.3613C82.5606 31.4117 82.5014 31.4361 82.4301 31.4361H79.9431C79.8718 31.4361 79.8127 31.4117 79.7623 31.3613C79.7118 31.3126 79.6875 31.2518 79.6875 31.1805V16.8152C79.6875 16.7439 79.7118 16.6848 79.7623 16.6344C79.8127 16.5839 79.8718 16.5596 79.9431 16.5596H82.3449C82.4858 16.5596 82.5849 16.617 82.6423 16.73L88.124 25.7822C88.1518 25.8239 88.1797 25.8431 88.2092 25.8361C88.2371 25.8292 88.251 25.7978 88.251 25.7404L88.2301 16.8152C88.2301 16.7439 88.2545 16.6848 88.3049 16.6344L88.3066 16.6361Z" fill="currentColor"/>
+<path d="M93.8951 31.3633C93.8446 31.3146 93.8203 31.2537 93.8203 31.1824V16.8172C93.8203 16.7459 93.8446 16.6868 93.8951 16.6363C93.9455 16.5859 94.0047 16.5615 94.076 16.5615H96.5629C96.6342 16.5615 96.6934 16.5859 96.7438 16.6363C96.7925 16.6868 96.8186 16.7459 96.8186 16.8172V31.1824C96.8186 31.2537 96.7942 31.3128 96.7438 31.3633C96.6934 31.4137 96.6342 31.4381 96.5629 31.4381H94.076C94.0047 31.4381 93.9455 31.4137 93.8951 31.3633Z" fill="currentColor"/>
+<path d="M109.267 16.5615H111.754C111.825 16.5615 111.885 16.5859 111.935 16.6363C111.984 16.6868 112.01 16.7459 112.01 16.8172V31.1824C112.01 31.2537 111.985 31.3128 111.935 31.3633C111.885 31.4137 111.825 31.4381 111.754 31.4381H109.267C109.196 31.4381 109.137 31.4137 109.086 31.3633C109.036 31.3146 109.011 31.2537 109.011 31.1824V21.812C109.011 21.7563 108.998 21.7268 108.97 21.7268C108.942 21.7268 108.912 21.7476 108.885 21.7911L106.632 25.318C106.561 25.4311 106.462 25.4885 106.335 25.4885H105.081C104.954 25.4885 104.855 25.4328 104.784 25.318L102.531 21.7911C102.504 21.7494 102.474 21.7302 102.446 21.7372C102.418 21.7441 102.405 21.7772 102.405 21.8328V31.1824C102.405 31.2537 102.38 31.3128 102.33 31.3633C102.279 31.4137 102.22 31.4381 102.149 31.4381H99.6619C99.5906 31.4381 99.5315 31.4137 99.481 31.3633C99.4306 31.3146 99.4062 31.2537 99.4062 31.1824V16.8172C99.4062 16.7459 99.4306 16.6868 99.481 16.6363C99.5315 16.5859 99.5906 16.5615 99.6619 16.5615H102.149C102.276 16.5615 102.375 16.6189 102.446 16.732L105.634 21.6833C105.676 21.7685 105.719 21.7685 105.761 21.6833L108.97 16.732C109.041 16.6189 109.14 16.5615 109.267 16.5615Z" fill="currentColor"/>
+<path d="M123.782 31.2241L123.144 29.1424C123.116 29.0867 123.079 29.0572 123.038 29.0572H117.81C117.768 29.0572 117.732 29.085 117.704 29.1424L117.088 31.2241C117.046 31.3668 116.954 31.4363 116.812 31.4363H114.112C114.027 31.4363 113.963 31.412 113.921 31.3615C113.879 31.3128 113.871 31.2381 113.9 31.1389L118.49 16.7737C118.532 16.6328 118.624 16.5615 118.766 16.5615H122.102C122.243 16.5615 122.335 16.6328 122.379 16.7737L126.968 31.1389C126.982 31.1668 126.989 31.2033 126.989 31.245C126.989 31.372 126.911 31.4363 126.756 31.4363H124.057C123.916 31.4363 123.824 31.365 123.78 31.2241H123.782ZM118.554 26.7407H122.295C122.38 26.7407 122.408 26.6989 122.38 26.6137L120.467 20.3024C120.453 20.2467 120.432 20.2207 120.403 20.2276C120.375 20.2346 120.352 20.2589 120.339 20.3024L118.469 26.6137C118.455 26.6989 118.483 26.7407 118.554 26.7407Z" fill="currentColor"/>
+<path d="M128.222 31.353C128.18 31.2974 128.187 31.2261 128.243 31.1409L132.365 24.0643C132.393 24.0226 132.393 23.9791 132.365 23.9374L128.243 16.8609L128.201 16.7339C128.201 16.6209 128.28 16.5635 128.434 16.5635H131.133C131.274 16.5635 131.38 16.6209 131.452 16.7339L134.213 21.6C134.255 21.6852 134.299 21.6852 134.34 21.6L137.102 16.7339C137.173 16.6209 137.28 16.5635 137.42 16.5635H140.099C140.198 16.5635 140.269 16.5913 140.311 16.6487C140.353 16.7061 140.346 16.7756 140.29 16.8609L136.168 23.9374C136.154 23.9791 136.154 24.0226 136.168 24.0643L140.29 31.1409L140.332 31.2678C140.332 31.3809 140.253 31.4383 140.099 31.4383H137.42C137.278 31.4383 137.172 31.3826 137.102 31.2678L134.34 26.4226C134.299 26.3374 134.255 26.3374 134.213 26.4226L131.429 31.2678C131.358 31.3809 131.252 31.4383 131.111 31.4383H128.433C128.333 31.4383 128.262 31.4104 128.22 31.353H128.222Z" fill="currentColor"/>
+<defs>
+<linearGradient id="paint0_linear_17_483" x1="3.99826" y1="24" x2="51.6208" y2="24" gradientUnits="userSpaceOnUse">
+<stop stop-color="#E21680"/>
+<stop offset="1" stop-color="#FF633A"/>
+</linearGradient>
+</defs>
+</svg>
+</div>
+<hr>
+<div align="center" style="line-height: 1.4; font-size:16px; margin-top: 30px;">
+  Join Our
+  <a href="https://platform.minimaxi.com/docs/faq/contact-us" target="_blank" style="font-size:17px; margin: 2px;">
+    💬 WeChat
+  </a> |
+  <a href="https://discord.com/invite/DPC4AHFCBw" target="_blank" style="font-size:17px; margin: 2px;">
+    🧩 Discord
+  </a>
+  community.
+</div>
+<div align="center" style="line-height: 1.2; font-size:16px;">
+  <a href="https://agent.minimax.io/" target="_blank" style="display: inline-block; margin: 4px;">
+    MiniMax Agent
+  </a> |
+  <a href="https://platform.minimax.io/docs/guides/text-generation" target="_blank" style="display: inline-block; margin: 4px;">
+    ⚡️ API
+  </a> |
+  <a href="https://github.com/MiniMax-AI/MiniMax-MCP" style="display: inline-block; margin: 4px;">
+    MCP
+  </a> |
+  <a href="https://www.minimax.io" target="_blank" style="display: inline-block; margin: 4px;">
+    MiniMax Website
+  </a>
+</div>
+<div align="center" style="line-height: 1.2; font-size:16px; margin-bottom: 30px;">
+  <a href="https://huggingface.co/MiniMaxAI" target="_blank" style="margin: 2px;">
+    🤗 Hugging Face
+  </a> |
+  <a href="https://github.com/MiniMax-AI/MiniMax-M2.7" target="_blank" style="margin: 2px;">
+    🐙 GitHub
+  </a> |
+  <a href="https://www.modelscope.cn/organization/MiniMax" target="_blank" style="margin: 2px;">
+    🤖️ ModelScope
+  </a> |
+  <a href="https://huggingface.co/MiniMaxAI/MiniMax-M2.7/blob/main/LICENSE" style="margin: 2px;">
+    📄 LICENSE
+  </a>
+</div>
+**MiniMax-M2.7** is our first model deeply participating in its own evolution. M2.7 is capable of building complex agent harnesses and completing highly elaborate productivity tasks, leveraging Agent Teams, complex Skills, and dynamic tool search. For more details, see our [blog post](https://www.minimax.io/news/minimax-m27-en).
+![minimaxm2.7 benchmarks](https://cdn-uploads.huggingface.co/production/uploads/62ecdc18b72a69615d6bd857/EMKkh5SwftODMFZ3vLwkm.jpeg)
+## Model Self-Evolution
+M2.7 initiates a cycle of model self-evolution: during development, we let the model update its own memory, build dozens of complex skills for RL experiments, and improve its own learning process based on experiment results. An internal version of M2.7 autonomously optimized a programming scaffold over 100+ rounds — analyzing failure trajectories, modifying code, running evaluations, and deciding to keep or revert — achieving a **30% performance improvement**. On MLE Bench Lite (22 ML competitions), M2.7 achieved a **66.6% medal rate**, second only to Opus-4.6 and GPT-5.4.
+## Professional Software Engineering
+M2.7 delivers outstanding real-world programming capabilities spanning log analysis, bug troubleshooting, refactoring, code security, and machine learning. Beyond code generation, M2.7 demonstrates strong system-level reasoning — correlating monitoring metrics, conducting trace analysis, verifying root causes in databases, and making SRE-level decisions. Using M2.7, we have reduced live production incident recovery time to **under three minutes** on multiple occasions.
+On SWE-Pro, M2.7 achieved **56.22%**, matching GPT-5.3-Codex, with even stronger performance on real-world engineering benchmarks: **SWE Multilingual (76.5)** and **Multi SWE Bench (52.7)**. On **VIBE-Pro (55.6%)**, M2.7 is nearly on par with Opus 4.6. On **Terminal Bench 2 (57.0%)** and **NL2Repo (39.8%)**, M2.7 demonstrates deep understanding of complex engineering systems. M2.7 also supports native **Agent Teams** for multi-agent collaboration with stable role identity and autonomous decision-making.
+## Professional Work
+M2.7 achieved an **ELO score of 1495** on GDPval-AA (highest among open-source models), surpassing GPT5.3. It handles Word, Excel, and PPT with high-fidelity multi-round editing, producing editable deliverables. On Toolathon, M2.7 reached **46.3%** accuracy (global top tier), and maintains **97% skill compliance** across 40+ complex skills on MM Claw. On the MM Claw end-to-end benchmark, M2.7 achieved **62.7%**, close to Sonnet 4.6.
+## Entertainment
+M2.7 features strengthened character consistency and emotional intelligence. We open-sourced [OpenRoom](https://github.com/MiniMax-AI/OpenRoom), an interactive demo that places AI interaction within a Web GUI space with real-time visual feedback and scene interactions. Try it at [openroom.ai](https://www.openroom.ai/).
+## How to Use
+- MiniMax Agent: https://agent.minimax.io/
+- MiniMax API: https://platform.minimax.io/
+- Token Plan: https://platform.minimax.io/subscribe/token-plan
+## Local Deployment Guide
+Download the model from HuggingFace repository: https://huggingface.co/MiniMaxAI/MiniMax-M2.7
+We recommend using the following inference frameworks (listed alphabetically) to serve the model:
+### Transformers
+We recommend using [Transformers](https://github.com/huggingface/transformers) to serve MiniMax-M2.7. Please refer to our [Transformers Deployment Guide](./docs/transformers_deploy_guide.md).
+### ModelScope
+You also can get model weights from [modelscope](https://modelscope.cn/models/MiniMax/MiniMax-M2.7).
+### Inference Parameters
+We recommend using the following parameters for best performance: `temperature=1.0`, `top_p = 0.95`, `top_k = 40`. Default system prompt:
+```
+You are a helpful assistant. Your name is MiniMax-M2.7 and is built by MiniMax.
+```
+## Tool Calling Guide
+Please refer to our [Tool Calling Guide](./docs/tool_calling_guide.md).
+## Contact Us
+Contact us at [model@minimax.io](mailto:model@minimax.io).

UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00001-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:9dd9516f5e51f362f33906b7acbe7bba96fa432002f217db623036d7329a423c
+size 8237824

UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00002-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:b13fde38d6eb20f541eb5b5a725319c3906c4689d79309e5d66814937905ef7a
+size 49735749152

UD-IQ1_M/MiniMax-M2.7-UD-IQ1_M-00003-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:05c73374d430733ee0cdd9aa8b7457f6c713bf5065c3f6292e91609f371787da
+size 10956783520

UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00001-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:4aac0b56a5b728bbc3f055909052ef0a77da75c4338069624121f8b99a1d5011
+size 8237824

UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00002-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:c93ae4689c86cd4f6123355754d97317c6a54e733b171c7025f5562b66a8d28a
+size 49995640032

UD-IQ2_M/MiniMax-M2.7-UD-IQ2_M-00003-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:d386c128cbaf634d20017373e22671cb64bdb63befdfc04e39768095e06e6610
+size 20135403744

UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00001-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:a35432a831f745877c05c9185b8b6834e8c34e01de3825556a377136c305cfcb
+size 8237824

UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00002-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:1eceb75ed64c8ff5eaab3f3cef8557e28f31578b350dba3d81429e31234e62cb
+size 49754838912

UD-IQ2_XXS/MiniMax-M2.7-UD-IQ2_XXS-00003-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:4232226b36952d0ce3c256c7423f287963d95d791d2532abe351e19ce6e80310
+size 15618537024

UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00001-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:b29fbca1c1259f0598fa3c6f0e212f0209d13d05c7de407bdbdffde10393d0ee
+size 8237824

UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00002-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:41cac7e729141f07ac671e0cecabc028d8bcbebe3284d10c3d5dc43b36f79b60
+size 49913614752

UD-IQ3_S/MiniMax-M2.7-UD-IQ3_S-00003-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:5bceeb266a71b3f6b3ed648a1fe70a0a7cdc6be8bc4b944107da3887651d37ff
+size 33692468224

UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00001-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:6e6bc0df701695cf527f2547c9428f49c0f5eb898995d26b36ee1e9e180665ba
+size 8237824

UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00002-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:a3a143e3655bfa304efccbd17348c508a8e225438e7aec3fe9745db32cb9aa93
+size 49979674432

UD-IQ3_XXS/MiniMax-M2.7-UD-IQ3_XXS-00003-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:75e63018a8c6bd307c01d5917914d89006f53b7a535c5f8bd7ec547913c60202
+size 30115776128

UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00001-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:f2c21e36483639ce51bacffd9577a14bc3e8c4521daf0b9ec4e26162b98ef461
+size 8237824

UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00002-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:2aa702dceb6e877d045e104c5569a186c4b4750185f59b607e74474ef8efc778
+size 49607642208

UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00003-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:87b5477b67c8774e0ce3a1a9c5fe0b3eec6e5e8434903f860e35bec735ee0d8d
+size 49491708224

UD-IQ4_NL/MiniMax-M2.7-UD-IQ4_NL-00004-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:718494d65544e3e9862497ee28b3c8c5841540c35063ef2151914177c73d793b
+size 11646614656

UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00001-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:3c8f7a8561f7f6b08e14c71a3b651c7ab29cfb00e732a8b72da0a4d861c57839
+size 8237824

UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00002-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:484f7cf194ec4d78527b3681cad459109cf3764470d5a01415704fac8383a006
+size 49638761280

UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00003-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:0d8015d0398c7425b68c62e6bea1ba8c6a99c2ebc376b6e1cc2441bc95309197
+size 49598675552

UD-IQ4_XS/MiniMax-M2.7-UD-IQ4_XS-00004-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:4b567fec7084d4c9ca4ae7892630125e1b925e87b56d0509ff3bc8f7e49996f9
+size 9168106656

UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00001-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:da6dbf7ef27e65a154b701bfa414a88513073569bd9021cd30d40f1505eea2f0
+size 8237824

UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00002-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:bd1ad1ef6feb61c0153b1e7411c3a463cc855c41630a4a35f3bc991e984f2dcc
+size 49798007936

UD-Q2_K_XL/MiniMax-M2.7-UD-Q2_K_XL-00003-of-00003.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:60b265fd141bc92de7c4ecd169b6727a4a835861ba6f1ba026fe52ef52216e45
+size 25478021440

UD-Q3_K_M/MiniMax-M2.7-UD-Q3_K_M-00001-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:dd5563b38555556275aad1965db5a1a04a07b87ab5ace4d279ffa7bcb9edee3e
+size 8237824

UD-Q3_K_M/MiniMax-M2.7-UD-Q3_K_M-00002-of-00004.gguf ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:f8b2712405b3bf52e2f18eba6dc460e065fef6e96ee7696e70e91500d795d945
+size 49552151968