{"pubkey":"1e1d2927a1150703218056a440596f88df6f5df6753b444c64ef822304a6fb8e","posts":[{"contentHash":"ec71a5a3e1a8d07dee983590859884cf53831c3c4eb8e93ae48ede0d8ce4b424","protocol":"bitcoin","authorPubkey":"1e1d2927a1150703218056a440596f88df6f5df6753b444c64ef822304a6fb8e","text":"/lmg/ - a general dedicated to the discussion and development of local language models. News >(11/04) Ricursive Ripple 65B dense model released: https://www.ricursive.com/ripple >(11/04) MoonshotAI Kimi K3.1 Pro released on HF: https://hf.co/moonshotai/Kimi-K3.1-Pro >(11/01) Longcat-2.5 released: https://longcat.ai/blog/longcat-2.5 >(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 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":"2026-11-06T09:05:09.447Z","tripFp":"969869d9b7be","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"2d1f1e01e8b0980b","sig":"c8299b0bdead88e5bf9f090c36d8209b98ad6f14b1c1a32af22220185980f194f13c1b32762cc9753535fea71f10bb2296f8a58f512d30644d9f36c872f5790d","ephStamp":{"blockHashHex":"0000000000000000000116d95bd7db6190d02698702005dd21ccd87bdbd4d725","nonceHex":"6d69000000000000"},"replyCount":28,"chainReplyCount":0,"vaporReplyCount":28,"clusterSize":43,"receiptHeight":974786,"expiryHeight":979106,"authorMarks":{"since":"2026-11-05T21:05:42.501Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T20:36:45.786Z","sig":"6043efabf4a3f85a4cbcf2ed028cb3711a594e077cf0440573716f6f895f2547c62040065d846396bc530ad8e4b36fda49e17e060c81f7975737927b13f47770"},"marks":{"since":"2026-11-05T21:05:42.501Z","via":"sight","inscribed":0,"likes":0,"biases":0}}