Instructions to use lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4
- SGLang
How to use lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4 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 "lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4 with Docker Model Runner:
docker model run hf.co/lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4
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This is an alias โ the model lives at
lyber-ai/MiniMax-M3.1-Flash-UNCENSORED-NVFP4This repo exists so people searching for "abliterated" find the same model. All files, benchmarks, and documentation are in the main repo above.
MiniMax-M3.1-Flash โ ABLITERATED (NVFP4)
โ lyber-ai/MiniMax-M3.1-Flash-UNCENSORED-NVFP4
Native MXFP8 + NVFP4 MoE experts ยท 60-layer hybrid SSM/Attention ยท 4M context ยท Extended thinking ยท Tools
Credits
- Base model: MiniMaxAI/MiniMax-M3.1-Flash
- Uncensoring: Lyber AI ร dealign.ai
- Released by: Lyber AI ร dealign.ai
Model tree for lyber-ai/MiniMax-M3.1-Flash-ABLITERATED-NVFP4
Base model
MiniMaxAI/MiniMax-M3.1-Flash