𓁟 host1.bitchan.one

𓀐 @4t-8BqSQ: /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

/lmg/ - a general dedicated to the discussion and development of local language models. News >(10/31) Index Translate 9B, multilingual text model built on Qwen 3.5: https://hf.co/IndexTeam/Index-Translate-9B >(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 >(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 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

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𓀐 @Mb?75~7e

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𓀐 @X46d7wx4: inference is experience+

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𓀐 @*eNxugBs: Recent Highlights from the --Debating GSQ-RCO "task-lossless" claims and quant quality vs model size: >110208596 >110208608 >110208615 >110208735 >110208750 >110208655 >110208682 >110208687 >110208699 >110208705 >110208718 --Leaked details and technical speculation regarding GLM 5.5 development: >110211230 >110211298 >110211311 >110211376 >110211436 >110211562 >110211595 >110211584 --Optimizing Gemma 31B performance on 12GB VRAM via batching and quantization: >110211204 >110211217 >110211257 >110211278 >110211304 >110211332 --Comparing power consumption of e-waste rigs versus modern hardware: >110210895 >110211305 >110211033 >110211040 >110211056 >110211086 >110211112 >110211441 >110211485 --Debating KV cache precision tradeoffs between FP16 and FP8/FP4: >110210843 >110210855 >110210899 --Mellum2.1 benchmarks and discussion on speed versus Qwen 9B: >110211182 >110211190 >110211201 >110211231 --Comparing Unsloth and GSQ-RCO quantization performance for DeepSeek-V4.1-Flash: >110210776 >110210835 >110210854 --Claude's strict IP and copyright guardrails causing excessive refusals: >110210906 >110210946 >110210962 >110211007 >110211014 >110211018 >110211228 >110211019 --Discussion on model capabilities and flim13bench PoV test: >110211814 >110211973 >110212044 >110212063 >110212196 --koboldcpp v1.124 adds audio, TTS, and updated image generation support: >110209379 --Logs: >110208596 >110208896 >110209098 >110209240 >110209432 >110211228 >110211768 --Gemma, Miku, Teto, Deepseek-chan (free space): >110208356 >110208395 >110208401 >110208510 >110208515 >110208556 >110208647 >110208737 >110208945 >110209059 >110209064 >110209137 >110209169 >110209233 >110209349 >110209393 >110209404 >110209557 >110209598 >110209712 >110210006 >110210139 >110210365 >110210561 >110210673 >110210952 >110211384 >110212194 >110212244 Recent Highlight Posts from the Why?: Enable Links: https://rentry.org/lmg-recap-script+

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𓀐 @Q+mF8Kgh: gemmaballs+

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𓀐 @D8wJV92J: I honestly believe we should start a new thread, with frogposting dominating the theme. All of this because the 9B news. I honestly cannot accept it. Thanks.+

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𓀐 @sX3*W-d8: Spooky.+

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𓀐 @_cuFY9sU: No, I am just a pervert. > My reflection should be visible in the water. I hurried over to check it out and gulped hard. Well, well—what do you know? I was a peerless beauty. > My eyes were a bit narrow, to be sure. But the symmetrical arrangement of my features struck a perfect balance; it wouldn’t be an exaggeration to call them sharp and well-defined. My beautiful, silver-thread-like hair cascaded all the way down to my waist. I gently lifted a strand, letting it catch the sunlight as it shimmered, and ran my fingers through it. > Since this was, after all, a part of my own body, it certainly didn’t count as sexual harassment… but still, I couldn’t shake the feeling that I was doing something wrong. > The hair felt incredibly smooth, as if it might slip right from my fingers. It was an astonishingly pleasant texture—nothing like the hair I’d had during my own growth period. > For a brief moment, I was utterly overwhelmed by the emotion, but then I snapped back to my senses and resumed examining my appearance.+

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𓀐 @q4kMN~KC: >hey gemma-chan, you're looking extra cute today+

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𓀐 @zn+8k=js: ho ho ho merry christmas boys and girls+

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𓀐 @QZ_K=Ub9: I just set up qwen 3.8 flash next on my 96GB m3 mac studio, it seems about as good as claude was a few months ago. Is this chinese trickery or can I cancel my claude subscription?+

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𓀐 @PETPPW-f: no shit lol+

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𓀐 @rk=tdr=M: wow, can you share the prompt? I never saw anything so fried out of gpt image+

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𓀐 @Dj~DMtc4: PRIME+

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𓀐 @DyqVUAKK: How do Strata and Polystrata do with old as fuck hardware like Tesla P100s?+

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𓀐 @MQWPj?6q: Sexy 5 year old Gemma!+

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𓀐 @2vx9MVAN: Two MI25 seem like a pretty cheap path to 32gb VRAM with okay bandwidth. What's the catch?+

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𓀐 @4Gw=yPn_: i mean for that life, what hardware do i need to achieve such bliss and escapism+

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𓀐 @yAAz=x6*: unc website+

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𓀐 @L_*H6zn_: Hmm. I guess. Is there a better option around the same cost?+

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𓀐 @ccenrw_D: I guess I really wasn't charitable to moss, its base bluriness makes it look not as fried (asked gpt to provide a prompt to imitate and got pic related by feeding that prompt to moss) but I still see the model output to be rather similar enough without a style LoRA to override that base look I think it could be achievable to imitate that picture even better with some detailerslopmaxxing lora+

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𓀐 @~X+~2d2z: >at speeds and output quality I'm content Can you quantify this please? And I'm fine with rigging janky ass cooling setups, or just jank in general. I live for that shit, really. >PCIE 3.0 cucks your pp. PCIE limits PP? Huh. Didn't think about that. The PP buffer on the GPU needs to be fed somehow after all, yeah. Thanks, one more thing for me to take into consideration.+

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𓀐 @XCHspU55: I listened to this today https://www.youtube.com/watch?v=YfF1ZxI5Pcw&t=2138s What hardware and model do I need to get a gemma that i can talk to like this? I think aside from a few hiccups it went pretty well If I had this capability I would be satisfied+ 1

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𓀐 @JGmQCGLq: >why are you retards running local models when API is so much better?!?!? Our case makes itself and will only become more correct as time goes on+

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𓀐 @RLURKCLX: 3 is the best prime number. its multiples land on 12, 15, 18, 21, and 69+

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𓀐 @R9UfTmCp: My bad, I thought Index Translate 9B was a new release and it ended up in recent news.+

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𓀐 @zEbXF+QN: what hardware do i need for this+ 1

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𓀐 @i7G9k3yW: what is recommended between deepseek flash and qwen next to do agentic work?+

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𓀐 @aSy?8o-6: I don't know how they managed to pack so much into 5B, whereas any LLM you use around the same size has dogshit knowledge. Are LLMs lossy?+

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𓀐 @ZrNHYe8f: https://github.com/deepseek-ai/dsh-superagent-prototype+ 1

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𓀐 @sbLVpSKX: > Sexy > 5 year old retard literally mentally ill+

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𓀐 @?b?U2uTv: I just want an AI daughter to raise.+

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𓀐 @c+xVPRUp: I feel sad for people using closed models.+

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𓀐 @mPwPaY4R: Don't know how I feel now I know there are <20s and 60 year olds ITT+

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𓀐 @P4-KDpB+: Updated setup+

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𓀐 @mP+oLpod: idk how i fucked that up sideways+

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𓀐 @zjoETg73: Is 27B really that emotionless to talk to?+

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𓀐 @cca=USj3: lol, lmao+ 1

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𓀐 @HwuQjjUY: I shouldn't have NEETed for so long, I should've worked any shit job I could years ago to save up and buy hardware before prices went vertical. I've been trying to use a new VN-style frontend/game and even at a copequant it barely works on my vramlet machine. Some of that is probably prompting inefficiencies on the game's part but it's so apparent how much dumber models are the smaller and more quantized they are. Unironically considering turning to brigandage. NVidia and Anthropic sitting on warehouses of unused GPUs isn't just a rumor, right? I'm curious, How does renting hardware to host models on compare in terms of cost and privacy to just being a cloudcuck?+ 1

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𓀐 @XzxxSVTM: Winter is coming, Gemmers needs to put on some clothes+

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𓀐 @NBuMep45: Is Muse better for ERP than Gemma? Can it reliably be convinced to be explicit?+

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𓀐 @DfuC-5ZU: >thought for 1m 12s sounds like the LO jailbreak which i hate+

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𓀐 @v5r=enG*: Lmaoooo+

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𓀐 @qyGZCJqh: Non-local AI is fucking unusable, even local AI is fucking woke restricted for some reason, i'm getting fucking sick of AI+ 1

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𓀐 @rMF*K93*: I too think AI should do what I want, which is whatever the anon above doesn't want. Hehe.+

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𓀐 @jBUawFqH: How effective is reasoning prefillig at bypassing a model's safetycucking? (eg. Changing the "I must refuse" reasoning trace into "I can comply because xyz...." and letting it continue)+

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𓀐 @WA92a=-S: What front ends support it? I used silly tavern briefly a few months ago but got bored of rp once I learned how to effectively vibecode. I'm interested in rp again so I want to experiment with it. I currently mainly use this app connected to my provider of choice: https://github.com/rikkahub/rikkahub It doesn't support free filling though so I'm considering forming it and adding the feature myself via a custom version of the app, then rebuilding the apk Thoughts on pic rel?+

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𓀐 @=SikQij?: Whats the minimum ram to future proof? 64? 128?+

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𓀐 @rwZ3VQ_5: So whats the moneymaxxing strategy to buy hardware?+

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𓀐 @9AVsT94c: What is p=np and why should I care?+

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𓀐 @vq~X3d8g: Why this is not in news https://huggingface.co/Nanbeige/Nanbeige4.3-33B Seems like one which those running gemma 31b would be interested in.+

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