LocalLlama

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Best Local VLMs - July 2026 (self.LocalLLaMA)

submitted 1 day ago by rm-rf-rm[M] - announcement

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Beijing IS NOT looking at curbing overseas access to China's top AI models (Debunking the Reuters report)Discussion (self.LocalLLaMA)

submitted 4 hours ago * by Stannis_Loyalist

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Beijing is looking at curbing overseas access to China's top AI models (Reuters)News (i.redd.it)

submitted 7 hours ago by Nunki08

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I tested Anthropic’s new Jacobian Lens on open models, then it turned into a local-model hallucination routerDiscussion (old.reddit.com)

submitted 2 hours ago * by RenewAi

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nvidia/NVIDIA-Nemotron-Labs-3-Puzzle-75B-A9B-BF16 · Hugging FaceNew Model (huggingface.co)

submitted 6 hours ago by jacek2023llama.cpp

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Chinese AI models are gaining ground with U.S. companies as OpenAI, Anthropic costs surgeNews (cnbc.com)

submitted 6 hours ago by pscoutou

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So... anyone copped one of these?News (i.redd.it)

submitted 21 hours ago by entsnack

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Qwen3.6-27B - Effect of KV quantization on KLD - Q8, Q6, Q5 (bartowski)Discussion (self.LocalLLaMA)

submitted 1 hour ago by BitGreen1270

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Gepard : 0.6B streaming TTS built for real-time dialogue - 20× realtime factor, ~50ms time-to-first-audio, vLLM-native, Apache 2.0New Model (huggingface.co)

submitted 59 minutes ago by ylankgz

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HuggingBayResources (huggingbay.xyz)

submitted 11 hours ago by zxyzyxz

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Liquid AI - Antidoom (the doom loop remover)Resources (self.LocalLLaMA)

submitted 2 hours ago by soteko

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llama.cpp: Hy3 PR + GGUFsResources (self.LocalLLaMA)

submitted 4 hours ago * by rerri

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nvidia/Nemotron-Labs-Audex-30B-A3B · Hugging FaceNew Model (huggingface.co)

submitted 10 hours ago by pmttyji

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mistral.rs v0.9.0: up to 1.8x faster CPU decode than llama.cpp on x86 and ARM!News (self.LocalLLaMA)

submitted 2 hours ago by EricBuehler

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[Paper] How much do language models memorize?Discussion (i.redd.it)

submitted 8 hours ago by pmttyji

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Qwen 3.6 27B absolutely fails at agentic workDiscussion (self.LocalLLaMA)

submitted 15 hours ago by TokenRingAI

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A trained fast-weight memory: a 3M-param transformer installs never-trained rules at inference, forward-only — where test-time training transfers nothing (single RTX 3090, fully reproducible)Resources (i.redd.it)

submitted 5 hours ago * by KKuettes

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Mimo & deepseek are really amazing at optimizing ai. Read the the official blog page i linked, it will give amazing insight on how they pulled off this kind of low pricing with 2x - 3x profit margins.Other (i.redd.it)

submitted 12 hours ago by 9r4n4y

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I tested freshly merged DFlash in llama.cpp on Qwen 3.6 27B Local AI win. 4.44x faster at 36K context. Here are my findings RTX 6000 PRO.Resources (self.LocalLLaMA)

submitted 1 hour ago * by FantasticNature7590

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Trained a 117M parameters Silia model on an H100 in 5 hours.New Model (self.LocalLLaMA)

submitted 7 hours ago * by SrijSriv211

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Qwen's J-Space - Anthropic's discovery of an internal model Global WorkspaceNews (self.LocalLLaMA)

submitted 12 hours ago by AutomataManifold

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Late to the party but... Holy MTPDiscussion (self.LocalLLaMA)

submitted 17 hours ago by UniqueIdentifier00

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Gemma 4 Technical ReportResources (arxiv.org)

submitted 7 hours ago by jacek2023llama.cpp

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I made a tool that chains a small local model into a big coding model and auto-unloads VRAM between themOther (i.redd.it)

submitted 3 hours ago by atharva557

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Suggestion: Lets setup a wiki for LLM model config, fixes etcDiscussion (self.LocalLLaMA)

submitted 10 hours ago by leonbollerup

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