MiniMax2.7 @47tg 1200pp
Summary
MiniMax2.7 model released with 47 trillion parameters and 1200pp context length.
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@stevibe: MiniMax M2.7 is 230B params. Can you actually run it at home? I tested Unsloth's UD-IQ3_XXS (80GB) on 4 different rigs:…
A user tested MiniMax M2.7 (230B parameter model) using Unsloth's UD-IQ3_XXS quantization (80GB) across four different hardware configurations including RTX 4090, RTX 5090, RTX PRO 6000, and DGX setups, reporting token generation speeds and time-to-first-token metrics.
MiniMaxAI/MiniMax-M2.7
MiniMaxAI releases MiniMax-M2.7, an open-weight model featuring self-evolution capabilities, advanced agent team support, and strong performance on software engineering benchmarks (56.22% on SWE-Pro, 66.6% medal rate on MLE Bench Lite), with notable applications in production incident recovery and professional work tasks.
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China’s MiniMax Plans to Launch 2.7-Trillion Parameter Model
MiniMax plans to launch a 2.7-trillion parameter large language model, codenamed M3 Pro, expected to be open-sourced in Q3, significantly larger than its current M3 model.
MiniMax promises M3 weights after 1M-context model launch (2 minute read)
MiniMax released M3, a model with a 1M-token context window and native multimodal input, via API. The company promises open-weight release and a technical report within 10 days.