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/lmg/ - a general dedicated to the discussion and development of local language models. News >Claude BANS recomp! >https://www.youtube.com/watch?v=GlRVbIdc_Mk 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⬆↩ 52
A general for vibe coding, agentic engineering, coding agents, and shipping code with LLMs. You use Git — right, anon? ## What “vibe coding” is, and how to do it https://simonwillison.net/2025/Mar/19/vibe-coding/ https://simonwillison.net/2025/Mar/11/using-llms-for-code/ ## Related generals >>>/g/lmg/ ---- ## Frontier models using fully-general tooling — start here if you have $20 or so https://claude.com/product/claude-code — generally better currently https://developers.openai.com/codex/cli https://antigravity.google/pricing ## Near-the-old-frontier models for code https://www.deepseek.com/en/harness/ https://opencode.ai/go ## Best free tier https://opencode.ai/zen ---- ## Prompting https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/overview https://developers.openai.com/api/docs/guides/latest-model ## Skills https://github.com/mattpocock/skills — /grill-with-docs is a favorite https://github.com/Vuk97/forward-implementation-first — do less redundant bookkeeping ## Other editors / terminal agents / coding agents https://osaurus.ai/ https://pi.dev/ ## Is our AIs unlearning? https://aistupidlevel.info/ ## Will there be a codex reset? https://codex-resets.com/ ## What we’ve done https://vcg.gitgud.site ## Previous thread⬆↩ 49
>UPGRADE & BUILD ADVICE Post build list or current specs including MONITOR: https://pcpartpicker.com/ Provide specific use cases State BUDGET and COUNTRY or you will NOT be helped >CASE mATX: AP201, Lian Li A3/B4, XT M3 ATX: XT PRO (ULTRA), Lancool 207/217, Flux Pro, 4000D FRAME, X50, BF360 Flow, HAF II 500, Summit, Warthog RS Dual Chamber: Y60/70, O11 Vision, Antec C8 >CPU Budget: 5600/X, 12400F Entry level DDR5: 7500F, 7/9600/X, 225F Gaming: 9850X3D, 9/7800X3D, 250K, 5800X3D Workstation: 9950X/3D(2), 9900X/3D, 270K >COOLER AIO: Thermalright Frozen Edge, Cooler Master Atmos, Lian Li GA II Lite, Nautilus RS, Silent Loop 3, NL-LC1 Dual tower: A620 PRO SE, Phantom Spirit, NH-D15 G2 ITX/>42mm RAM: Big Shuriken 4, Mugen 6 Dual Fan TIM: Duronaut, MX-7, PTM7950* (phase change), KryoSheet (graphene pad) *Be wary of counterfeits >MOTHERBOARD Avoid ASRock AM5 boards, CPU degradation issues still reported Choose boards with ALC1220 audio codec when possible >RAM Crucial RAM & SSD warranty offers refunds only, no replacements DDR5: 2x16GB or 2x24GB, 6000CL30 (AMD), 6400CL32 (Intel) Workstation: 2x 32GB (budget), 2x48GB or 2x64GB (high-end) DDR4: 3200CL16, 3600CL18 >SSD (update firmware) DRAMless: (SN)7100, C925G, NM790 PCIe Gen 4.0: (SN)850X Gen 5.0: (SN)8100 >GPU Buy the best one you're willing to pay for Avoid poor value entry-level GPUs >PSU Buying guide: https://hwbusters.com/best_picks/best-atxv3-pcie5-ready-psus-picks-hardware-busters/ >MONITOR Check reviews & owner feedback Budget: 165/180Hz IPS (24" 1080p / 27" 1440p) HDR: discounted OLED or MiniLED (IPS/VA: motion clarity vs. contrast) High-end: wait for brighter 2027 OLEDs /w stripe RGB subpixels >OS Activate Windows @ >>>/g/fwt >CASE FANS Meta: Case with good stock PWM fans Midrange: Pure Wings 3, Arctic P-Pro (5-pack, loud @ higher RPM) High-end: Fractal Momentum, Noctua G2 (140mm or 120mm) Prev:⬆↩ 29
The Edition >UIs ComfyUI: https://github.com/comfyanonymous/ComfyUI SwarmUI: https://github.com/mcmonkeyprojects/SwarmUI KritaAI: https://github.com/Acly/krita-ai-diffusion Forge Classic/Neo: https://github.com/Haoming02/sd-webui-forge-classic InvokeAI: https://github.com/invoke-ai/InvokeAI >Image Models IL: https://rentry.org/illustrious_checkpoints Anima: https://huggingface.co/circlestone-labs/Anima Krea: https://huggingface.co/krea/Krea-2-Turbo NovelAI (paid): https://novelai.net Moss: https://huggingface.co/Comfy-Org/MOSS-Image >Video Models H3: https://huggingface.co/Comfy-Org/MiniMax-H3 Turbo lora: included above >How to generate anime: image : https://rentry.org/comfyui_guide_1girl video: https://rentry.org/wan22ldgguide (No H3 guide yet) >Style Explorers Anima: https://anima.mooshieblob.com/ | https://animadex.net/ Illustrious: https://tagexplorer.github.io >Checkpoints, LoRAs, Upscalers, & Workflows https://civitai.com https://civitaiarchive.com https://tensor.art https://openmodeldb.info https://www.seaart.ai https://www.liblib.art/ >Resources: Share Metadata: https://litterbox.catbox.moe Img2Prompt: https://huggingface.co/spaces/fancyfeast/joy-caption-beta-one Online metadata viewer SD/NovelAI: https://spell.novelai.dev Catbox/Metadata Userscript: [Gist] README.md Output cleanup: https://rentry.org/RemovingDiffusionGunk , https://www.mediafire.com/file/vipr23exc5htmnt (batch processing python script) Inpainting Guide from an Anon: https://files.catbox.moe/fbzsxb.jpg >/adt/ logo: https://files.catbox.moe/pakfgt.png⬆↩ 37
Booster 22 Static Fire edition⬆↩ 40
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Seed That Has My Girlfriend Edition Discussion and Development of Local Image, Video, and Audio Models https://rentry.org/ldg-lazy-getting-started-guide >UI ComfyUI: https://github.com/comfyanonymous/ComfyUI SwarmUI: https://github.com/mcmonkeyprojects/SwarmUI SDWebUI: https://rentry.org/ldg-lazy-getting-started-guide#the-stable-diffusion-web-ui-lineage Wan2GP: https://github.com/deepbeepmeep/Wan2GP Neural-Pixel (sd.cpp): https://github.com/Luiz-Alcantara/Neural-Pixel >Checkpoints, LoRAs, & Upscalers https://huggingface.co/models https://huggingbay.xyz https://civitai.com https://civitaiarchive.com https://openmodeldb.info >Tuning https://github.com/spacepxl/demystifying-sd-finetuning https://github.com/ostris/ai-toolkit https://github.com/Nerogar/OneTrainer https://github.com/tdrussell/diffusion-pipe https://github.com/kohya-ss/sd-scripts https://github.com/kohya-ss/musubi-tuner >MOSS https://github.com/OpenMOSS/MOSS-Image >F3K https://huggingface.co/black-forest-labs/flux-3-image-klein >Qwen Image 2.1 https://huggingface.co/Qwen/Qwen-Image-2.1 >MiniMax H3 https://huggingface.co/Comfy-Org/MiniMax-H3 https://neta.art/use-cases/en/h3-1000-prompt-list >Anima https://huggingface.co/circlestone-labs/Anima https://animastyles.thetacursed.com https://tagexplorer.github.io/ https://animadex.net >Krea 2 https://huggingface.co/krea/Krea-2-Raw https://huggingface.co/krea/Krea-2-Turbo https://lumenastrum.github.io/clio-style-preview/gallery/ >Misc Share Metadata: https://catbox.moe | https://litterbox.catbox.moe/ Txt2Img Plugin: https://github.com/Acly/krita-ai-diffusion Archive: https://rentry.org/sdg-link Collage: https://rentry.org/neo_collage >Neighbors >>>/aco/csdg >>>/b/degen >>>/gif/vdg >>>/d/ddg >>>/e/edg >>>/h/hdg >>>/trash/slop >>>/vt/vtai >>>/u/udg >>>/hr/pdg >Local Text >>>/g/lmg >Maintain Thread Quality https://rentry.org/debo https://rentry.org/animanon⬆↩ 20
Long awaited and tremendously anticipated, Gryffincorg Edition⬆↩ 27
Discussion and Development of Local Image, Video, and Audio Models https://rentry.org/ldg-lazy-getting-started-guide >UI ComfyUI: https://github.com/comfyanonymous/ComfyUI SwarmUI: https://github.com/mcmonkeyprojects/SwarmUI SDWebUI: https://rentry.org/ldg-lazy-getting-started-guide#the-stable-diffusion-web-ui-lineage Wan2GP: https://github.com/deepbeepmeep/Wan2GP Neural-Pixel (sd.cpp): https://github.com/Luiz-Alcantara/Neural-Pixel >Checkpoints, LoRAs, & Upscalers https://huggingface.co/models https://huggingbay.xyz https://civitai.com https://civitaiarchive.com https://openmodeldb.info >Tuning https://github.com/spacepxl/demystifying-sd-finetuning https://github.com/ostris/ai-toolkit https://github.com/Nerogar/OneTrainer https://github.com/tdrussell/diffusion-pipe https://github.com/kohya-ss/sd-scripts https://github.com/kohya-ss/musubi-tuner >MOSS https://github.com/OpenMOSS/MOSS-Image >F3K https://huggingface.co/black-forest-labs/flux-3-image-klein >Qwen Image 2.1 https://huggingface.co/Qwen/Qwen-Image-2.1 >MiniMax H3 https://huggingface.co/Comfy-Org/MiniMax-H3 https://neta.art/use-cases/en/h3-1000-prompt-list >Anima https://huggingface.co/circlestone-labs/Anima https://animastyles.thetacursed.com https://tagexplorer.github.io/ https://animadex.net >Krea 2 https://huggingface.co/krea/Krea-2-Raw https://huggingface.co/krea/Krea-2-Turbo https://lumenastrum.github.io/clio-style-preview/gallery/ >Misc Share Metadata: https://catbox.moe | https://litterbox.catbox.moe/ Txt2Img Plugin: https://github.com/Acly/krita-ai-diffusion Archive: https://rentry.org/sdg-link Collage: https://rentry.org/neo_collage >Neighbors >>>/aco/csdg >>>/b/degen >>>/gif/vdg >>>/d/ddg >>>/e/edg >>>/h/hdg >>>/trash/slop >>>/vt/vtai >>>/u/udg >Local Text >>>/g/lmg >Maintain Thread Quality https://rentry.org/debo https://rentry.org/animanon⬆↩ 20
General thread for posting your cooking process/food you made.⬆↩ 29
/aicg/ - A general dedicated to the discussion and development of AI chatbots Bad Swipe Edition >News Google releases Gemini Carbon - https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/ OAI releases GPT-6.1 Terra - https://openai.com/index/introducing-gpt-6-1-terra/ Moonshoot releases Kimi K3.1 Pro - https://www.kimi.ai/blog/kimi-k3-1-pro DeepSeek releases 4.1-Flash-1017 https://api-docs.deepseek.com/news/news261017/ Google releases Gemini 4 Argon - https://deepmind.google/models/model-cards/gemini-4-argon/ Meta releases Muse Wonder and Wonder Full - https://research.meta.ai/blog/muse-wonder OAI releases GPT-6.1 Sol https://openai.com/index/introducing-gpt-6-1-sol/ Anthropic releases Sonnet 5.5 - https://www.anthropic.com/claude-sonnet-5-5 Anthropic releases Opus 5.5 - https://www.anthropic.com/claude-opus-5-5 Xiaomi releases MiMo 2.6 Pro and Flash - https://mimo.xiaomi.com/mimo-v2-6 OAI releases GPT-6 Sol and Luna - https://openai.com/index/introducing-gpt-6-sol-and-luna/ >Frontends SillyTavern: https://docs.sillytavern.app RisuAI: https://risuai.net Agnai: https://agnai.chat | https://rentry.org/agnai_guides_ >Bots https://chub.ai https://realm.risuai.net >Models GPT: https://platform.openai.com/docs Claude: https://docs.anthropic.com | https://rentry.org/how2claude Gemini: https://ai.google.dev/docs | https://rentry.org/gemini-qr DeepSeek: https://api-docs.deepseek.com Grok: https://docs.x.ai/overview Local: >>>/g/lmg | https://hf.co/models | https://openrouter.ai >⬆↩ 19
/lmg/ - a general dedicated to the discussion and development of local language models. News >(10/26) XHToken releases Spark-X2.6-1.7B: https://hf.co/XHToken/Spark-X2.6-1.7B >(10/26) LiquidAI releases LFM3 1.7B and 2B: https://hf.co/collections/LiquidAI/lfm3 >(10/26) Baidu Unlimited-OCR-2 3B released https://hf.co/baidu/Unlimited-OCR-2 >(10/23) NVIDIA Nemotron 3.5 Bolt E4B, postrained model: https://hf.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-BF16 >(10/23) MiniMax-M3.1-Flash 428B-A23B released: h…⬆↩ 46
"There's no such thing as a banned book" edition >Archive: https://warosu.org/lit/?task=search2&search_subject=sffg >Goodreads: https://www.goodreads.com/group/show/1029811-sffg >Thread questions: What's the last book you read? What's the current book you're reading? What do you plan to read next?⬆↩ 34
/lmg/ - a general dedicated to the discussion and development of local language models. News >(10/26) OpenAI proves the Exponential Time Hypothesis false, pointing towards P = NP being true, the biggest computer science breakthrough in 70 years time: https://openai.com/index/building-scientific-understanding-with-academic-communities/ >(10/23) NVIDIA Nemotron 3.5 Bolt E4B, postrained model: https://hf.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-BF16 >(10/23) MiniMax-M3.1-Flash 428B-A23B released: ht…⬆↩ 42
/lmg/ - a general dedicated to the discussion and development of local language models. News >(10/26) LiquidAI releases LFM3 1.7B and 2B: https://hf.co/collections/LiquidAI/lfm3 >(10/26) Baidu Unlimited-OCR-2 3B released https://hf.co/baidu/Unlimited-OCR-2 >(10/23) NVIDIA Nemotron 3.5 Bolt E4B, postrained model: https://hf.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-E4B-BF16 >(10/23) MiniMax-M3.1-Flash 428B-A23B released: https://hf.co/MiniMaxAI/MiniMax-M3.1-Flash >(10/21) Recursive Flint 40B-A2.5B rele…⬆↩ 44
>Who is /fat/ for? For ramen ravagers working towards a longer life and a better physique through meaningful hard-work, strategy, and dedication. This is not QTDDTOT, stick to questions on fat loss. Post height and weight when asking for advice. Join our Fatty Contest: https://www.fattycontest.com/ >What do I do first? 1. Read https://physiqonomics.com/fat-loss/ 2. Calculate your Body Fat Percentage: https://fitness.bizcalcs.com/Calculator.asp?Calc=Body-Fat-Navy 3. Calculate your TDEE: https://www.sailrabbit.com/bmr/ Remember to use bodyfat% and use Katch-McArdle Formula with sedentary settings or your TDEE will be too high. 4. Plan your weight loss: https://www.losertown.org/eats/cal.php 5. Track your nutrition with MyFitnessPal (better for packaged food), Cronometer (better for generic food/macros), LoseIt (great for both), or Waistline (FOSS). >Now what? Count calories, all of them. Eat about 500-1000 less calories than your TDEE. Buy scales, be accurate. Learn to cook. Try to stick to lean protein and green vegetables. Eat a lot of protein. 0.72g per pound of goal lean body mass. Doing cardio, even just walking, will improve your health. There is no such thing as a healthy fat heart, but you can offset the risks. Lifting weights will keep and gain muscle mass and lose fat much quicker. Not lifting results in the body eating away muscle AND fat. Drink more water. Read the /fit/ sticky: https://liamrosen.com/fitness.html >DON'T Eat refined sugars, they're terrible for you regardless of calories. Eat processed foods. Drink your calories (alcohol, soda, Starbucks). Freak out over a weight loss stall. Plateaus can last up to three weeks. "Reward" yourself. Cheat days cheat only yourself. >Other resources: Loose skin, gynecomastia & stretch marks: https://weight-loss-side-effects.netlify.app/ Reddit Wiki: https://www.reddit.com/r/loseit/wiki/faq⬆↩ 26
A general for vibe coding, agentic engineering, coding agents, and shipping code with LLMs. You use Git — right, anon? ## What “vibe coding” is, and how to do it https://simonwillison.net/2025/Mar/19/vibe-coding/ https://simonwillison.net/2025/Mar/11/using-llms-for-code/ ## Related generals >>>/g/lmg/ ---- ## Frontier models using fully-general tooling — start here if you have $20 or so https://claude.com/product/claude-code — generally better currently https://developers.openai.com/codex/cli #…⬆↩ 38