MiniMax M2.7 AWQ 4bit is an open-source language model by cyankiwi. Features: 36.8b LLM, VRAM: 130.5GB, Context: 192K, License: other, Quantized, LLM Explorer Score: 0.53, ELO: 1404.
4bit Awq Base model:minimaxai/minimax-m... Base model:quantized:minimaxai... Compressed-tensors Conversational Custom code Endpoints compatible Minimax m2 Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/cyankiwi/MiniMax-M2.7-AWQ-4bit
MiniMax M2.7 AWQ 4bit Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
MiniMax M2.7 AWQ 4bit Parameters and Internals
| LLM Name | MiniMax M2.7 AWQ 4bit |
| Repository 🤗 | https://huggingface.co/cyankiwi/MiniMax-M2.7-AWQ-4bit |
| Base Model(s) | |
| Model Size | 36.8b |
| Required VRAM | 130.5 GB |
| Updated | 2026-04-13 |
| Maintainer | cyankiwi |
| Model Type | minimax_m2 |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq|4bit |
| Model Architecture | MiniMaxM2ForCausalLM |
| License | other |
| Context Length | 196608 |
| Model Max Length | 196608 |
| Transformers Version | 4.57.6 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 200064 |
Rank the MiniMax M2.7 AWQ 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a