Tagged "minimax"
- MiniMax M2.7 GGUF Investigation Reveals NaN Issues Affecting 21-38% of Hugging Face Conversions
- MiniMax M2.7 Achieves SOTA Performance Under 64GB on Mac with TQ Quantization
- MiniMax Clarifies Restrictive License, Signals Policy Update for Regular Users
- MiniMax-M2.7 Delivers Exceptional Performance on Consumer Hardware
- MiniMax M2.7 Open-Sources Globally as Industry's First Self-Improving Model
- Unsloth Completes Comprehensive MiniMax M2.7 GGUF Quantization Suite
- MiniMax M2.7 Released: New Model Available for Local Deployment
- MiniMax M2.7 Is Now Open Source
- MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI Applications
- MiniMax M2.7 Model to Be Released as Open Weights
- MiniMax-M2.7: New Compact Model Announced for Local Deployment
- Anthropic Reveals Industrial-Scale Distillation Attacks by Chinese AI Labs
- Strix Halo Performance Benchmarks: Minimax M2.5, Step 3.5 Flash, Qwen3 Coder
- MiniMax Releases M2.5 Model with SOTA Coding and Agent Capabilities
- MiniMax-M2.5 230B MoE Model Released with GGUF Support for Local Deployment
- MiniMax M2.5: 230B Parameter MoE Model Coming to HuggingFace
- Samsung's REAM: Alternative Model Compression Technique