Repository: localaiLicense: modified-mit
The model **MiniMax-M2.1** (base model: *MiniMaxAI/MiniMax-M2.1*) is a large language model quantized for efficient deployment. It is optimized for speed and memory usage, with quantized versions available in various formats (e.g., GGUF) for different performance trade-offs. The quantization is done by the user, and the model is licensed under the *modified-mit* license. Key features: - **Quantized versions**: Includes low-precision (IQ1, IQ2, Q2_K, etc.) and high-precision (Q4_K_M, Q6_K) options. - **Usage**: Requires GGUF files; see [TheBloke's documentation](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for details on integration. - **License**: Modified MIT (see [license link](https://github.com/MiniMax-AI/MiniMax-M2.1/blob/main/LICENSE)). For gallery use, emphasize its quantized variants, performance trade-offs, and licensing.
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MiniMax-M2.5. Quality ladder and quantization rungs published by mudler/MiniMax-M2.5-APEX-GGUF and its unsloth counterpart; LocalAI picks the build that fits the hardware.
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MiniMax-M2.7. Quality ladder and quantization rungs published by mudler/MiniMax-M2.7-APEX-GGUF and its unsloth counterpart; LocalAI picks the build that fits the hardware.
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