{"pubkey":"dabf09a8ebf053da1bc85d43f1e66b22d719eb909e589dfbe36d0efad7fb25a2","posts":[{"contentHash":"762e70f39bccddf5de24bc709c622cf0986da17d275262828f65fc1340f84967","protocol":"bitcoin","authorPubkey":"dabf09a8ebf053da1bc85d43f1e66b22d719eb909e589dfbe36d0efad7fb25a2","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":"2026-11-05T20:05:23.702Z","tripFp":"21d93e452130","viewCount":0,"powDifficulty":0,"relation":0,"ephemeral":true,"nonce":"da191f271e8791d3","sig":"08c799de37dc6388dd5c107552fac28a9ecd8cde176bf10e512e35e165058cc0589a1a96f98ad6a082b5f179a00c69b58452da8186c12513664e0d95c2e0cc69","ephStamp":{"blockHashHex":"0000000000000000000013379e2bbedb785d2b7161cc178e074aff5c8cf36909","nonceHex":"930c000000000000"},"replyCount":35,"chainReplyCount":0,"vaporReplyCount":35,"clusterSize":50,"receiptHeight":974701,"expiryHeight":979021,"authorMarks":{"since":"2026-11-05T09:04:39.381Z","via":"sight","inscribed":0,"likes":0,"biases":0},"lang":"en"}],"nextCursor":null,"pageReceipt":{"host":"6af58b1822e0cabfe57d76540f745d059b438f489a796ec6a705c6540233845e","t":"2026-11-08T19:55:16.175Z","sig":"1dbb72922102c6a6fe4097c97ed8e4ba0149a58d3f1eb3d72b39c48bee188eb511562b18b7d3c38ce48c1cb78d97edc14ccd27ebfdd60f93c7d2d4111a7acb6c"},"marks":{"since":"2026-11-05T09:04:39.381Z","via":"sight","inscribed":0,"likes":0,"biases":0}}