{"pubkey":"49420b090e347526bcc654c357d944ec857053b5c355a936b180775af477450b","posts":[{"contentHash":"967efdf387092122ce0bb456cceea5c2b9f6f6f773079d9800ee67c6e6507f51","protocol":"bitcoin","authorPubkey":"49420b090e347526bcc654c357d944ec857053b5c355a936b180775af477450b","text":"/lmg/ - a general dedicated to the discussion and development of local language models. News Mythos 5.5 next week! 6.2 Astra next week! >(10/30) Google receives response from Gemma in space: https://blog.google/innovation-and-ai/models-and-research/google-research/project-suncatcher-satellite-response >(10/29) Mistral Large 4 (Le Chonk) 1T-A52B released: https://mistral.ai/news/mistral-large-4-oss >(10/27) NVidia releases Nemotron 3.5 Transcribe 30B-A4B: https://hf.co/nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B News Archive: https://rentry.org/lmg-news-archive Links: https://rentry.org/LocalModelsLinks Official /lmg/ card: https://files.catbox.moe/cbclyf.png Getting Started https://rentry.org/lmg-lazy-getting-started-guide https://rentry.org/lmg-build-guides https://rentry.org/IsolatedLinuxWebService https://rentry.org/recommended-models https://rentry.org/samplers https://rentry.org/MikupadIntroGuide Further Learning https://rentry.org/machine-learning-roadmap https://rentry.org/llm-training https://rentry.org/LocalModelsPapers Benchmarks LiveBench: https://livebench.ai Programming: https://swe-rebench.com Agentic Coding: https://deepswe.datacurve.ai Context Length: https://github.com/RecapAnon/NoLiMa GPUs: https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference Tools GGUF VRAM Calculator: https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator Sampler Visualizer: https://artefact2.github.io/llm-sampling Token Speed Visualizer: https://shir-man.com/tokens-per-second Text Gen. UI, Inference Engines https://github.com/lmg-anon/mikupad https://github.com/oobabooga/text-generation-webui https://github.com/LostRuins/koboldcpp https://github.com/ggerganov/llama.cpp https://github.com/theroyallab/tabbyAPI https://github.com/vllm-project/vllm https://rentry.org/custom-uis","topicHash":"913c62c2ee31793c7e8517600dbc8f0c337afae133700a128a7d8ffb8a21c93e","topicName":"technology","parentHash":"e1e861ed31e83729a8762ccd9dc0210c83d58cdb674a3a04315dd8f837210edf","costSunk":"0","biasSupport":0,"biasOppose":0,"biasVouch":0,"biasNull":0,"blockHeight":null,"confirmations":0,"timestamp":"2026-11-02T21:04:29.337Z","tripFp":"edeb7184d1b3","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"394e747ea2d5c550","sig":"0dc88af77f807b1694b8278a82415cf77bd4e75eaab83f449bae94b9499644ede02e7e1cf53ec9868444efff2a059c46d544814ff6ce3168f79443f1df74cc55","ephStamp":{"blockHashHex":"00000000000000000000f53d3b379dd6c345ce3fe1f28859825d5b254140fc0b","nonceHex":"fa45000000000000"},"replyCount":45,"chainReplyCount":0,"vaporReplyCount":45,"clusterSize":59,"receiptHeight":974300,"expiryHeight":978620,"authorMarks":{"since":"2026-11-02T04:04:22.890Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T20:36:27.492Z","sig":"29a34374732aef2ec77124b871ba45dd770de13b4177775ce4d2a102567bd6ade80a3dae9514dd19cb45505fd67c3c8a3f12fd958b58510bec101d8899d0fc67"},"marks":{"since":"2026-11-02T04:04:22.890Z","via":"sight","inscribed":0,"likes":0,"biases":0}}