Tagged "minimax"
17 articles tagged minimax, 12 February 2026 to 15 April 2026. Newest first.
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MiniMax M2.7 GGUF Investigation Reveals NaN Issues Affecting 21-38% of Hugging Face Conversions
Investigation into MiniMax-M2.7 GGUF quantizations found perplexity calculation errors affecting up to 38% of community GGUF uploads on Hugging Face, signaling broader quantization quality issues in the ecosystem.
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MiniMax Clarifies Restrictive License, Signals Policy Update for Regular Users
MiniMax co-founder Ryan Lee published clarification that recent licensing restrictions primarily target API providers offering poor service on M2.1/M2.5, and indicated the license may be updated to accommodate regular local users.
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MiniMax M2.7 Achieves SOTA Performance Under 64GB on Mac with TQ Quantization
A community member successfully quantized MiniMax M2.7 to run on Mac systems under 64GB RAM, achieving 91% MMLU scores using TQ quantization. This makes enterprise-grade model performance accessible to Mac users, including base M-series machines.
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MiniMax M2.7 Open-Sources Globally as Industry's First Self-Improving Model
MiniMax has open-sourced its M2.7 model globally, introducing a self-improving capability that allows the model to optimize its own performance. This release significantly expands options for local deployment of sophisticated, autonomously-improving language models.
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MiniMax-M2.7 Delivers Exceptional Performance on Consumer Hardware
MiniMax-M2.7 benchmarks show strong throughput (127.7 tok/s on dual RTX PRO 6000 Blackwell) and efficient VRAM utilization, positioning it as a practical alternative to larger models for resource-constrained deployments.
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MiniMax M2.7 Is Now Open Source
MiniMax releases M2.7, an agentic model now available as open source, expanding options for local deployment of capable reasoning models without cloud dependencies.
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Unsloth Completes Comprehensive MiniMax M2.7 GGUF Quantization Suite
Unsloth has finished quantizing MiniMax M2.7 across the full range of GGUF quantization levels from 1-bit to BF16, providing practitioners with optimized variants for every hardware configuration from edge devices to high-end systems.
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MiniMax M2.7 Released: New Model Available for Local Deployment
MiniMax has released the M2.7 model, generating significant interest in the LocalLLaMA community with rapid quantization support from Unsloth and other contributors. However, the model comes with restrictive licensing that prohibits commercial use without prior written permission.
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MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI Applications
MiniMax releases M2.7, optimized for NVIDIA hardware platforms to support complex agentic workflows at scale. The model demonstrates improved performance and efficiency for self-hosted deployment scenarios requiring advanced reasoning capabilities.
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MiniMax M2.7 Model to Be Released as Open Weights
MiniMax's M2.7 model will be made available as open weights, expanding the portfolio of capable models suitable for local deployment. This release addresses community needs for high-quality open-weight alternatives in the 2-3B parameter range.
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MiniMax-M2.7: New Compact Model Announced for Local Deployment
MiniMax has announced the M2.7 model, generating interest in the community regarding its potential multimodal capabilities and suitability for local inference workloads.
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Anthropic Reveals Industrial-Scale Distillation Attacks by Chinese AI Labs
Anthropic has publicly identified coordinated distillation attacks from DeepSeek, Moonshot AI, and MiniMax targeting Claude models. The disclosure raises critical questions about model security, intellectual property protection, and the competitive landscape between closed-source and open-source AI development.
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Strix Halo Performance Benchmarks: Minimax M2.5, Step 3.5 Flash, Qwen3 Coder
New benchmarks show how recent compact models (Minimax M2.5, Step 3.5 Flash, Qwen3 Coder Next) perform on Strix Halo processors, providing practical guidance for developers choosing models for memory-constrained edge deployments.
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MiniMax Releases M2.5 Model with SOTA Coding and Agent Capabilities
MiniMax announces M2.5, a new language model claiming state-of-the-art performance in coding tasks and agent applications, designed specifically for agent frameworks.
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MiniMax-M2.5 230B MoE Model Released with GGUF Support for Local Deployment
MiniMax-M2.5, a 230B parameter mixture-of-experts model, is now available in GGUF format for local deployment with impressive performance benchmarks on consumer hardware.
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MiniMax M2.5: 230B Parameter MoE Model Coming to HuggingFace
MiniMax officially confirms open-source release of M2.5, a 230B parameter MoE model with only 10B active parameters, showing impressive SWE-Bench performance at 80.2%.
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Samsung's REAM: Alternative Model Compression Technique
Samsung introduces REAM as a less damaging alternative to traditional REAP model compression methods used by other companies, potentially offering better performance preservation during model shrinking.