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Minimax

134 items · started 2025-10-30 · ongoing (last activity 2026-06-25)

  1. When I first installed openclaw, I immediately set up an obsidian vault. When they added the memory_wiki plugin, I migrated everything to that and deleted obsidian..

  2. We study PAC learning in tabular discounted Markov decision processes with exogenous i.i.d. contexts, with discount factor $\gamma$, finite state space $\mathcal X$, action space $\mathcal A$, and context space $\mathcal Z$.

  3. Foundation models are often used as fixed black-box predictors for downstream tasks with limited labeled data, but their predictions may be biased and unsafe to trust blindly. We study this setting through black-box assisted nonparametric…

  6. Hello, I'm having this problem with Cowork 3P, I cannot use Minimax model with Cowork 3P. This API key works when I use it with Hermes Agent Desktop, but it does not work with Cowork whatever I do.

  7. We benchmarked GLM 5.2, MiniMax M3, Kimi K2.7-code, Qwen 3.7-Plus and Sonnet 4.6 across nearly 1,000 coding-agent scenarios. The scenarios were run twice.

  8. Thinkbench, our custom evaluation harness, was used to drive both models through the same autonomous coding loop: read files, write files, run shell commands, and stop when the task was complete. The scored suite covered greenfield builds,…

  9. Optimal Reinforcement Learning (RL) algorithms typically rely on carefully constructed count-based uncertainty estimates to drive exploration. Although theoretically sound, such estimates are hard to compute in practical settings and there…

  10. We subsidize Deepseek 4.0, MiniMax M3, and more!

  11. Exciting news: GLM-5.2 (Max) ranks #2 in Code Arena: Frontend, with +29pt over Claude Opus 4.7 (Thinking) and only behind Fable 5! GLM-5.2 is the best open model vs Kimi-K2.6 and Minimax-M3 by a large margin.

  12. I'm a PM, not a researcher. My job is pulling 12-18 sources into one strategy doc and not losing the caveats.

  13. Data collection is a critical component of modern statistical and machine learning pipelines, particularly when data must be gathered from multiple heterogeneous sources to study a target population of interest. In many use cases, such as…

  14. The rapid advancement of large language models (LLMs) necessitates effective mechanisms to ensure their responsible deployment by accurately distinguishing unsafe content from benign content. While substantial safety datasets are available…

  15. In the last one or two months, starting from DeepSeek V4 Pro, there are quite many low-price Chinese models coming out. Their performance looks more or less similar to me: Mimo V2.5 Pro, MiniMax M3, and the just released GLM 5.2, etc.

  16. MiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters.

  17. Ultra-long-context capability is becoming indispensable for frontier LLMs: agentic workflows, repository-scale code reasoning, and persistent memory all require the model to jointly attend over hundreds of thousands to millions of tokens,…

  18. In anticipation of MiniMax reported upcoming open-weight release of M3, wanted to do comprehensive review of what I’m aware of regarding speed optimizations. Hopefully it can be helpful reference for some people too.

  19. Has anyone personally compared the Minimax M3 model against other proprietary models to determine its relative performance tier? I am trying to understand where it currently ranks in the broader Al landscape.

  20. Join Our 💬 WeChat | 🧩 Discord community. MiniMax Agent | ⚡️ API | CLI | MiniMax Website 🤗 Hugging Face | 🐙 GitHub | 🤖️ ModelScope | 📄 LICENSE MiniMax-M2.7 is our first model deeply participating in its own evolution.

  21. https://www.minimax.io/blog/minimax-m3 They advertise it as open weight and have these words everywhere in their advertisements, but they have not released it.

  22. A hands-on look at MiniMax M3 through Claude Code — what its new MiniMax Sparse Attention (MSA) is and how it differs from the lightning-attention and full-attention designs of earlier MiniMax models, plus three real tasks: auditing and re…

  23. Long time lurker, and I say this as someone who genuinely loves this community and runs many local models myself. I’ve been using LLMs since the early GPT and LLaMA days.

  24. I'm currently using Minimax 2.7-AWQ-4bit for an specific coding agentic workflow. I see many of you are currently using Qwen3.6 and wanted to know how does it compare with Minimax2.7 .

  26. It should be at least 7-8 months until we have an open Fable(not just as good as Fable in benchmarks, but actually as good as Fable), probably more like 9-12 months. By the time, an open Fable model comes out, Fable 6.5-7 will be way bette…

  28. We study the minimax rate of estimating a future value $\mu{tn+h}$ of a curve $t\mapsto\mut$ in the $2$-Wasserstein space $\mathcal{P}2(\mathbb{R}^d)$ from finitely many noisy snapshots of its past, under an adiabatic bound $\|\nablat^k v\…

  29. Understanding the generalization performance of over-parameterized neural networks has become a central topic in deep learning theory. While recent advances, particularly works under the Neural Tangent Kernel (NTK) regime, have shed light…

  30. Context: I run an autonomous engineering "org" of AI agents on my own product. Once it grew past ~5 agents and started running around the clock, it maxed my Claude Max weekly limit by mid-week.

  31. Overview: It scored 2% (1.79% rounded up) It is 18/20th place scoring above Haiku 4.5 and Minimax M2.7 Full benchmark took 70 hours Average time per task 32m Average output tokens per task: 44k Perspectives: It scored suspiciously similar…

  32. I picked models I consider local (usable on 3×3090), so there are no 300B models, and you should probably skip 200B models too (but MiniMax and Step are pretty fast in Q3) Gemma-4 12B is still missing

  33. I have Mimo subscription alongside Claude Code Max. You won’t believe how suck Claude Opus can be at certain task but it does get more job done than any other model I have tried.

  34. I do not derive the Chinchilla scaling law; I map the boundaries of the regime in which such a derivation could even be attempted. Working in the μP feature-learning setting on a Sobolev-on-manifold data model, I establish what the station…

  37. I ran my usual coding tests — two websites, a poker sim, and a code audit. Here's how MiniMax M3 actually stacks up against GPT-5.5 and Opus 4.8.

  38. could not extract summary

  39. MiniMax debuts AI model built for long and complex coding tasks Shanghai-based company says M3 can process data five times faster than its predecessor, while also slashing inference costs Chinese artificial intelligence start-up MiniMax ha…

  40. Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax…

  41. MiniMax (official) @MiniMax_AI Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench H…

  42. MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding, and tool use.

  43. Hey HN, We believe we have the easiest onboarding from signup to being able to spin up coding agents in slack like Stripe, Ramp & Coinbase. Demo of the onboarding: https://www.tella.tv/video/connecting-cord-to-slack-1-19ep Every signup get…

  44. been self-hosting hermes agent locally for a few months and rotating through different model backends for it. tried claude sonnet 4.5, gpt-5.5, qwen 3.6 coder, and most recently minimax m2.7.

  45. Have you ever wondered, how DeepSeek may make money, and lot of it? They didn't come up with competitive coding plans like GLM, MoonShot and MiniMax.

  46. Been using Claude for everything creative lately and got tired of switching to Runway every time I needed video. Found out Higgsfield supports MCP, connected it once, and now Claude generates video directly in chat.

  47. I code for 20 years and make mobile apps for 15+. This February I decided to try vibe coding, but at scale.

  48. I am currently using Minimax Token plan (1500req/5h) for 10 dollars/month, but I would like to upgrade to a stronger model. I am not someone who pushes the 1500req to its limits, but I like this feeling of capped costs per month.

  49. My use-cases will be to test open-weight LLMs and work on harnesses, inference systems and possibly other non-ML workflows (CS-related) in the future. Fine-tuning would not be something I do locally because I can rent a B200 from RunPod fo…

  50. https://preview.redd.it/i90oxxk7n03h1.png?width=1898&format=png&auto=webp&s=7d219c804fda7dfe122b84fcdb6d0d6883818c68 A while back I came across TradingAgents — a really cool multi-agent LLM stock analysis framework where like a dozen "agen…

  51. Hi everyone 👋 I’m trying to choose an LLM provider for my personal projects and side experiments, but I also don’t want my API bill to quietly consume my entire salary 😅 My primary use cases are: Coding assistance Agentic workflows Browser…

  52. I'm daily driving dual Asus GX10 (spark) with vllm and it's fantastic. But I want to try model that is GGUF only and won't fit into single spark.

  53. Testing MiniMax M2.7 via API on three real ML and coding workflows I recently got access to some MiniMax M2.7 API credits, so I decided to plug this model directly into Claude Code and run it on three workflows I do regularly. The same tas…

  54. Spent weeks running Hermes Agent in production on my Mac Mini M4 before recording this. Wanted to show things nobody else was covering.

  55. Made LLMs play Texas Hold’em against each other. 6 models at the table: a tiny 1.2B running locally on my 16GB MacBook, a couple mid-size ones, and cloud models going up to about 1 trillion parameters.

  56. I made 6 LLMs play Texas Hold’em against each other. Ran 5 tournaments on my 16GB MacBook.

  57. Basically the title. Recently I've been trying various open source and comparatively cheaper models like minimax m2.7, qwen models and glm5.1 in Pi agent from openrouter, and the performance on coding tasks have be moderately adequate at b…

  58. CPU is just a secondhand 10900x. Using 128k context, unquantized kv cache.

  59. llmfan46/MiniMax-M2.7-BF16-ultra-uncensored-heretic: https://huggingface.co/llmfan46/MiniMax-M2.7-BF16-ultra-uncensored-heretic llmfan46/MiniMax-M2.7-ultra-uncensored-heretic-GGUF: https://huggingface.co/llmfan46/MiniMax-M2.7-ultra-uncenso…

  60. by Nicholas Carlini 2025-01-05 Over the holidays I decided it's been too long since I did something with entirely no purpose. So without further ado, I present to you ...

  61. Ungate A Cursor-first extension for using Claude, ChatGPT, and MiniMax subscriptions in Cursor instead of paying for API tokens. How it works Ungate lets you use Claude, ChatGPT, and MiniMax in Cursor through account subscriptions instead…

  62. Original plan was to use Kimi/GLM for planning and DeepSeek for implementation, but seeing a lot of love for MiMo and Minimax lately. Anyone running a planner + coder split on Opencode?

  63. With the lowering usage limit in Claude, I am thinking of jumping ship to Chinese AI, since the benchmark is already very near compared to Sonnet or Haiku 4.5 , but for a fraction of the price. I am not worried about where is my data endin…

  64. With the lowering usage limit in Claude, I am thinking of jumping ship to Chinese AI, since the benchmark is already very near compared to Sonnet or Haiku 4.5 , but for a fraction of the price. I am not worried about where is my data endin…

  65. Just wanted to share because it took me a lot of tweaking to get here: llama-server -hf unsloth/MiniMax-M2.7-GGUF:UD-IQ3_XXS --temp 1.0 --top-k 40 --top-p 0.95 --host 0.0.0.0 --port 8080 -c 100000 -fa on -ngl 999 --no-context-shift -fit of…

  66. Hey r/AI_Agents — we're launching Irene today, and I want to be straight about what it is, why we built it, and where it's going. What makes Irene different Affordable with massive token limits and the latest open-source models We have gen…

  67. MTP was not released for m2.7, so would anyone have experience with setting up speculative decoding for minimax m2.7 and its results? Whether via EAGLE3 or a distilled variant

  68. llama-server.exe --model "H:\gptmodel\AesSedai\MiMo-V2.5-GGUF\MiMo-V2.5-IQ3_S-00001-of-00004.gguf" --ctx-size 1048576 --threads 16 --host 127.0.0.1 --no-mmap --jinja --fit on --flash-attn on -sm layer --n-cpu-moe 0 --threads 16 --parallel…

  69. So I'm brand new to this scene but I'm using Claude to help me fine tune a model for a startup idea I have in the Healthcare space. I have been working with the 27-35B parameter mdoels (Qwen3.6, Gemma 4) and the couple of 120B+ models (Qwe…

  70. Model Catalog Filter Connected Peers | ID | Role | Version | Status | Model | Latency | VRAM | Share | | --- | --- | --- | --- | --- | --- | --- | --- | | | Host | 0.65.1 | Serving | MiniMax-M2.5 | <1 ms | 256.0 GB | 42% | | | Host | 0.65.…

  71. MiniMax-M2.7-JANGTQ_K MiniMax M2.7 — 74 GB on disk (down from ~230 GB FP8 source) — mixed-bit JANGTQ_K quantization in JANGTQ-PRESTACK layout. Source: MiniMaxAI/MiniMax-M2.7 (62 layers, 256 routed experts top-8, 196K context) Quantization:…

  72. Just cancelled my claude subscription due to poor rate limits, gemini cli doesn't really excel in coding from my personal experience, and my local hardware isn't that powerful to run local AI models, and while codex is good, I wanna try so…

  73. wanted a terminal AI coding agent that doesn't lock me into one model provider. So I forked Qwen Code and added full support for every model available in AWS Bedrock.

  74. Here once again A Token Usage Meter for 12+ AI Providers Anthropic, OpenAI, Google, Alibaba qween, Moonshot Kimi, MiniMax, ElevenLabs, Deepgram, Perplexity. Qlaud.ai provides token usage meter / AI billing layer.

  75. I'm currently running a 4x RTX 3090 system (96GB VRAM, DDR4 2133 RAM) and have tested opencode and pi.dev using Qwen3.5-122B-A10B (AWQ) up to 200k context for web app coding (html/js/python). I'm now seriously considering picking up two Sp…

  76. So I saw an article recently about exo disaggregated prefill with DGX Spark and M3 Ultra - prefill on one machine and decode on another. DGX Spark apparently has 4x matmul performance over an M3 Ultra - same as the M5 Ultra should have.

  77. Hello, This model/quant is my daily driver and I wanted to have some reference benchs for comparing my setup with a 3x more expensive and 4x time power hungry setup. Results first, methodology after, link at the end with all results Model:…

  78. This is the hardest I've ever seen it riff. Full shared link at the bottom, but here are some highlights.

  79. Which of these do you think we'll get in May? Also, feel free to pick/rank which ones you'd want the most badly: more Gemma4 models (124b?) (other sizes?) more Qwen3.6 models (9b?

  80. True story, I got interested in AI after seeing it at work and wanted to run models locally. I started with an M3 Ultra 96GB, quickly learned it was not enough for what I wanted, and kept upgrading hardware (including refurbished Mac Studi…

  81. I invested quite a bit of time and it wasn't easy but finally I can run models like Minimax 2.7 Q4 using Cuda+ROCm at the same time bypassing Vulkan. load_tensors: offloaded 63/63 layers to GPU load_tensors: CUDA0 model buffer size = 83650…

  82. I’m pretty overwhelmed. I feel like there are so many options that I don’t know which one to choose, and trying things until I find a decent one isn’t really my thing—even though I enjoy it.

  83. Any underrated or overlooked models? FYI MiniMax-M2.7 switched their license(from MIT to Non-Commercial) so it's not in graph.

  84. https://preview.redd.it/kgkv6knv2dyg1.png?width=1026&format=png&auto=webp&s=d2e37f1914136ad672bcecf98741eee5e8cd69da MiniMax M2.7 AWQ 4bit hallucinated a URL and instantly pivoted to treating its own error as a joke. That made me laugh (do…

  85. Source: https://docs.tenstorrent.com/systems/quietbox/quietbox-bh-2/specifications.html Currently supported models: https://tenstorrent.com/developers From the specification docs above: CPU: Ryzen 7 9700X 65W Granite Ridge 3.8GHz Memory: 2…

  86. I was experimenting yesterday with running oversized models with smaller context size, hoping that leaving them overnight could compensate for the slow token generation and periodic pauses for compaction or task chunking. Summary: For rese…

  87. Some of the larger models (like Llama) weren't available on OpenRouter, so I had to work with what was there. Best small model: Gemma 4 26B For its size, I think it had the best output.

  88. DISCLAIMER: I am not a programmer nor do I have experience coding. I've been thinking about a small app running on gradio for some time now, and I want to try tweaking some extension for ComfyUI.

  89. It all started yesterday with this post by u/antirez https://www.reddit.com/r/LocalLLaMA/comments/1sw3stb/llamacpp_deepseek_v4_flash_experimental_inference/ I was intrigued by the first Deepseek V4 Flash GGUF in a small size that can fit o…

  90. So build[.]nvidia[.]com[/]models give access to free APIs for llms ranging from SLMs to frontier models. I tried building with it and let's say the APIs are so slow to respond.

  91. other companies are slowly going away from open weight, not releasing base models, delaying open weight distribution, not releasing top models (this one I think is fair, but still), and I also noticed they stopped publishing research (old…

  92. I’m trying to understand the current open-source LLM landscape beyond surface-level hype. We all got used to the nerfed products of Claude/Geminj so I believe really in opensource as a solution.

  97. TL;DR I try to keep most traffic on very cheap models (Nano / GLM‑Flash / Qwen / MiniMax) and only escalate to stronger models for genuinely complex or reasoning‑heavy queries. I’m still actively testing this and tweaking it several times…

  98. anyone knows how to setup opencode to work with self hosted minimax-2.7 properly? It has <think> and </think> in the message and OpenCode failed to parse the answer correctly.

  99. For context i used to ask many near 30b model this question --> **^(Calculate the precise VRAM requirement for the \*KV Cache only** at the maximum context window for **DeepSeek V3.2** and **MiniMax M2.5**. * **DeepSeek V3.2 Max Context:**…

  100. could not extract summary

  101. Hi everyone. It's been a while since I posted (was a lil burned out), but some of you may have seen my older SanityHarness posts.

  102. I keep on hearing from community here that Minimax models are pretty solid, their benchmark are also always respectable but I am never able to get decent result from them. I have tried local setup (multiple harness) I have even tried their…

  103. Ryzen AI MAX+ 395, Bosgame M5, 128GB LPDDR5x. Proxmox VE 9.1 LXC containers with GPU passthrough.

  104. Im running the raw version straight from the minimax release on hugging face (https://huggingface.co/MiniMaxAI/MiniMax-M2.7) on 3 rtx pro 6000's on vllm. So no quantization.

  105. Inference engine used (vllm fork): https://github.com/ai-infos/vllm-gfx906-mobydick/tree/main Huggingface Quants used: cyankiwi/MiniMax-M2.7-AWQ-4bit Relevant commands to run: docker run -it --name vllm-gfx906-mobydick-mixa3607 -v ~/llm/mo…

  106. I’ve been running various AI harnesses like OpenClaw, ForgeCode, ClaudeCode, etc. Most of these are running via OpenRouter or Minimax (credits/subscription model).

  107. Hey guys, come fight me: how do you justify local LLMs from a value perspective? It doesn't seem economical?

  108. Ungate A Cursor-first extension for using Claude, ChatGPT, and MiniMax subscriptions in Cursor instead of paying for API tokens. How it works Ungate lets you use Claude, ChatGPT, and MiniMax in Cursor through account subscriptions instead…

  109. I currently am looking for models to fit into my single DGX Spark for use. I have an RTX Pro 6000 and also a 5090 as well that I'm considering using in combination if the DGX Spark is too slow, but the intent here is to play around with Op…

  110. Hey guys, just checked out minimax 2.7, where they used AI to train itself, and ran over a hundred loops, and it improved it's performance by 30%, how does that work, can I also run a script that makes AI store it's memory in a loop on a m…

  111. Hi. I've been looking at ollama cloud's Pro offering ($20), which says "Run 3 cloud models at a time".

  112. I made this due to the usage problem. Enjoy and tell me what you guys think!

  113. So i have been seeing more of those pelican on a bike svg tests and while they work i feel like (and maybe you guys do too) they are getting kinda benchmaxxed so we should switch things up soon and this is my idea generate me a html svg of…

  114. RyanLee's(MiniMax) recent tweets for same. I just updated our license.

  115. I'm not sure if the AesSedai's Q5_K_M version of Minimax M2.7 is too much lobotomized or if the model itself is kind of weak. I did a simple experiment with both models running with the recommended parameters.

  116. Badda Boom.

  117. could not extract summary

  118. Hey r/LocalLLaMA, we did an investigation into MiniMax-M2.7 GGUF causing NaNs on perplexity. Our findings show the issue affects 21%-38% of all GGUFs on Hugging Face (not just ours).

  119. Hello, I've been on a quest to get something "close enough" of Opus 4.5 running locally, for agentic coding, as SWE with 15 years of experience. I tried with one spark (yeah I'm calling my Asus Ascent GX10 sparks - they're the same), with…

  120. We’ve been benchmarking a few models on our API platform and got some interesting performance numbers: - MiniMax M2.5 → 0.118s time-to-first-token, 103 tokens/sec - GLM 5.1 → 120 tokens/sec throughput - Kimi K2.5 → 0.643s TTFT, 69 tokens/s…

  121. I spent too much time trying to find one AI dev tool that could do everything. Planning, coding, fixing, reviewing, maybe filing my taxes too It never really worked.

  122. https://huggingface.co/JANGQ-AI/MiniMax-M2.7-JANGTQ Used TQ as quantization method where it matters. Finally mac users under 64 gb - esp base m5 users can get a real cloud SOTA-like level LLM running from home.

  123. What am I doing wrong here? I can't get models to follow my instructions, pretty much at all.

  124. I'm curious if there is a rule of thumb regarding how to best load Minimax given varying amounts of VRAM/RAM configurations. Is there a way to estimate how many experts versus layers to offload for individuals running either 16GB/24GB/32GB…

  125. I have the following hardware and want to run MiniMax-M2.7 (230B) locally. What is the best software stack and configuration to maximize performance?

  126. MiniMax just open-sourced MMX-CLI, a command-line tool built specifically for AI agents. Seven command groups: mmx text, mmx image, mmx video, mmx speech, mmx music, mmx vision, mmx search.

  127. I need help. I want to self-contain my MiniMax 2.7 and Qwen 3.5 (122 billion parameter) models.

  128. WEB SEARCH WAS ALWAYS ON!!!! Question Calculate the precise VRAM requirement for the **KV Cache only** at the maximum context window for **DeepSeek V3.2** and **MiniMax M2.5**.

  129. could not extract summary

  130. I get good, cheap, fast feature coding success with grok-4.1-fast for planning and grok-code-fast-1 for execution. But according to the Openrouter usage stats, grok-code-fast-1 is now old hat - usage dropped off a cliff in mid-Feb.

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