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Can slightly bigger models run on igpus? | 1 | Hello there.
So my usecase is instant 30ms and below of latency text to speech to be used in screen readers. The current best option when we exclude all non-neural options is Piper TTS, particularly the Sonata-nvda implementation of it which uses chunking while also turning the singular model.onnx into an encoder.onnx ... | 2026-01-09T19:14:49 | https://www.reddit.com/r/LocalLLaMA/comments/1q8hej8/can_slightly_bigger_models_run_on_igpus/ | Silver-Champion-4846 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8hej8 | false | null | t3_1q8hej8 | /r/LocalLLaMA/comments/1q8hej8/can_slightly_bigger_models_run_on_igpus/ | false | false | self | 1 | null |
Strix Halo 128GB not using more than 62.54GB?? | 7 | Hi, I'm at wits end right now and hoping someone's run in to this. I'm on unbuntu 24.04, rocm 7.1.1, below is my grub config
`GRUB_CMDLINE_LINUX_DEFAULT="ttm.pages_limit=30408704 ttm.page_pool_size=30408704 amdgpu.gttsize=118784 iommu=pt "`
when I load some really large workflows in comfyui (qwen image 2512 bf16 + l... | 2026-01-09T18:51:46 | https://www.reddit.com/r/LocalLLaMA/comments/1q8gsde/strix_halo_128gb_not_using_more_than_6254gb/ | sputnik13net | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8gsde | false | null | t3_1q8gsde | /r/LocalLLaMA/comments/1q8gsde/strix_halo_128gb_not_using_more_than_6254gb/ | false | false | self | 7 | null |
I built a Inference Architecture (Early exit inspired) for LLaMA-3.1 (Base) that saves ~20% Compute using SLERP & Dynamic RoPE. | 4 | Hi everyone,
Long time lurker. I’ve been working on a way to speed up inference without quantization or distillation.
I call it **"Cerebellum"** It’s a parasitic architecture (hooks-based) that attaches to a frozen LLaMA-3.1-8B and forces it to "teleport" hidden states from Layer 8 directly to Layer 32 when the token... | 2026-01-09T18:51:08 | https://www.reddit.com/r/LocalLLaMA/comments/1q8grqi/i_built_a_inference_architecture_early_exit/ | Hopeful-Sherbet-3100 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8grqi | false | null | t3_1q8grqi | /r/LocalLLaMA/comments/1q8grqi/i_built_a_inference_architecture_early_exit/ | false | false | 4 | null | |
best laptop under 500 | 0 | basically all i want to run is qwen 3 coder and possibly future version like qwen 4 and text to speech models like index TTS. new to computers what should i prioritize, ram and processor? | 2026-01-09T18:45:16 | https://www.reddit.com/r/LocalLLaMA/comments/1q8glzm/best_laptop_under_500/ | Physical-Macaron8744 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8glzm | false | null | t3_1q8glzm | /r/LocalLLaMA/comments/1q8glzm/best_laptop_under_500/ | false | false | self | 0 | null |
AMD MI50s stopped working | 0 | Hello everyone,
I have the following issue:
Last August I got two MI50 cards and put them in a Chinese x79 motherboard which supports above 4g decoding. They worked fine until last month one of them stopped being recognized. Last week the other card wasn't being recognized anymore, neither in bios nor under ubuntu.
Spo... | 2026-01-09T18:22:56 | https://www.reddit.com/r/LocalLLaMA/comments/1q8g0b7/amd_mi50s_stopped_working/ | politerate | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8g0b7 | false | null | t3_1q8g0b7 | /r/LocalLLaMA/comments/1q8g0b7/amd_mi50s_stopped_working/ | false | false | self | 0 | null |
How do you keep the balance of not overstuffing the prompt with edge cases that break? | 0 | I have a prompt that I am trying to optimize. The prompt model is GPT-OS 120 billion parameters. I just want the prompt to never execute the instructions present in the input. Just do a bunch of operations on top of it.
I used Claude to generate a lot of test cases but I found out that for one particular test case th... | 2026-01-09T18:21:01 | https://www.reddit.com/r/LocalLLaMA/comments/1q8fydl/how_do_you_keep_the_balance_of_not_overstuffing/ | RoutineNet4283 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8fydl | false | null | t3_1q8fydl | /r/LocalLLaMA/comments/1q8fydl/how_do_you_keep_the_balance_of_not_overstuffing/ | false | false | self | 0 | null |
RTX Blackwell Pro 6000 wholesale pricing has dropped by $150-200 | 216 | Obviously the RTX Blackwell Pro 6000 cards are of great interest to the people here. I see them come up a lot. And we all ooh and ahh over the people that have 8 of them lined up in a nice row.
It also seems to me like the market is suffering from lack of transparency on these.
My employer buys these cards wholesale,... | 2026-01-09T17:57:11 | https://www.reddit.com/r/LocalLLaMA/comments/1q8fagh/rtx_blackwell_pro_6000_wholesale_pricing_has/ | TastesLikeOwlbear | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8fagh | false | null | t3_1q8fagh | /r/LocalLLaMA/comments/1q8fagh/rtx_blackwell_pro_6000_wholesale_pricing_has/ | false | false | self | 216 | null |
After 8 years building cloud infrastructure, I'm betting on local-first AI | 86 | Sold my Saas company last year and we used to process everything in the cloud. Now, after a few realisations, I'm doing the opposite. As I watch the AI space evolve, I can’t help but wonder how there’s a growing sentiment of wanting capable models that run on hardware they control. More people seem to be moving toward... | 2026-01-09T17:48:38 | https://www.reddit.com/r/LocalLLaMA/comments/1q8f242/after_8_years_building_cloud_infrastructure_im/ | PandaAvailable2504 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8f242 | false | null | t3_1q8f242 | /r/LocalLLaMA/comments/1q8f242/after_8_years_building_cloud_infrastructure_im/ | false | false | self | 86 | null |
Long-term KV cache storage or re-runs for ongoing chats? | 0 | I’m have 100+ chats in ChatGPT that I will revisit and continue periodically. I recently learned a bit about what goes on under the hood in the transformer architecture and came to the conclusion that, for these chats, the KV cache is probably stored. But, that seems incredibly memory intensive.
The alternative, it s... | 2026-01-09T17:37:09 | https://www.reddit.com/r/LocalLLaMA/comments/1q8eqtc/longterm_kv_cache_storage_or_reruns_for_ongoing/ | skinnyjoints | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8eqtc | false | null | t3_1q8eqtc | /r/LocalLLaMA/comments/1q8eqtc/longterm_kv_cache_storage_or_reruns_for_ongoing/ | false | false | self | 0 | null |
2x RTX 3090 24GB VRAM, barely used, for $1,067. Should I buy it? | 0 | I have been trying to use LLMs locally to reduce costs for my small business. I mainly need to run LTX2 to generate marketing videos in Arabic. Are they effective and sufficient? Any advice would be greatly appreciated. | 2026-01-09T17:19:53 | https://www.reddit.com/r/LocalLLaMA/comments/1q8e9vh/2x_rtx_3090_24gb_vram_barely_used_for_1067_should/ | iCyb3r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8e9vh | false | null | t3_1q8e9vh | /r/LocalLLaMA/comments/1q8e9vh/2x_rtx_3090_24gb_vram_barely_used_for_1067_should/ | false | false | self | 0 | null |
For those of you on Nvidia Spark, what's your stack? Struggling to find LLMs that work through Docker-vLLM... | 1 | So far, I only have Qwen3 XB models that are fully tool-usable. This means no Qwen3 XB Base, none of Qwen3 Coder XB, no IQuest, no Solar, no GLM 4.5 Air NVFP4, no Devstral, no HyperCLOVAX, etc.
GPT OSS XB works, but it's Harmony format (if anyone knows any tools or VS Codium extensions for agentic coding that works wi... | 2026-01-09T17:19:49 | https://www.reddit.com/r/LocalLLaMA/comments/1q8e9t3/for_those_of_you_on_nvidia_spark_whats_your_stack/ | jinnyjuice | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8e9t3 | false | null | t3_1q8e9t3 | /r/LocalLLaMA/comments/1q8e9t3/for_those_of_you_on_nvidia_spark_whats_your_stack/ | false | false | self | 1 | null |
Why on earth build a local ai | 0 | Dear sub, this may sound against the entire concept of this community, but could you please explain the business cases, financial benefits, security reasons, why would someone put together servers with GPU to run LLM and lots of RAM and GB space for indexing.
Each part can be handled ultra secured with elastic cloud c... | 2026-01-09T17:09:50 | https://www.reddit.com/r/LocalLLaMA/comments/1q8dzxl/why_on_earth_build_a_local_ai/ | Melodic_Coffee_833 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8dzxl | false | null | t3_1q8dzxl | /r/LocalLLaMA/comments/1q8dzxl/why_on_earth_build_a_local_ai/ | false | false | self | 0 | null |
Best general purpose LLM 24gb vram and 128gb ram? | 3 | What’s the beat model i can currently run with my hardware? I like to stay at Q4 or above. Best MOE? | 2026-01-09T17:05:25 | https://www.reddit.com/r/LocalLLaMA/comments/1q8dvjb/best_general_purpose_llm_24gb_vram_and_128gb_ram/ | No-Leave-4512 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8dvjb | false | null | t3_1q8dvjb | /r/LocalLLaMA/comments/1q8dvjb/best_general_purpose_llm_24gb_vram_and_128gb_ram/ | false | false | self | 3 | null |
Would you be interested in an open-source alternative to Vapi for creating and managing custom voice agents? | 1 | Hey everyone,
I've been working on a voice AI project called **VoxArena** and I am about to open source it. Before I do, I wanted to gauge the community's interest.
I noticed a lot of developers are building voice agents using platforms like Vapi, Retell AI, or Bland AI. While these tools are great, they often come w... | 2026-01-09T17:03:07 | https://v.redd.it/jkp0owstuccg1 | dp-2699 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q8dt8f | false | {'reddit_video': {'bitrate_kbps': 1200, 'dash_url': 'https://v.redd.it/jkp0owstuccg1/DASHPlaylist.mpd?a=1770570622%2CMGUzMjBmOTEyYTI2Y2Y1OTRkNDgzZDUwMGRkOTQyOGMwYWI1ZDQyMTJkY2I1NTVkZDk1MWExY2QyOGJjMzFlOA%3D%3D&v=1&f=sd', 'duration': 222, 'fallback_url': 'https://v.redd.it/jkp0owstuccg1/CMAF_480.mp4?source=fallback', 'h... | t3_1q8dt8f | /r/LocalLLaMA/comments/1q8dt8f/would_you_be_interested_in_an_opensource/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'MnduNjEzdHR1Y2NnMcltG_ZSVQGvaNxK9QrwpeejUiSXA3_6s1EkhTKMyUCo', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/MnduNjEzdHR1Y2NnMcltG_ZSVQGvaNxK9QrwpeejUiSXA3_6s1EkhTKMyUCo.png?width=108&crop=smart&format=pjpg&auto=webp&s=651ceb60f348864a592355546511af01c5d54... | |
In 72gb VRAM is mistralai/Devstral-Small-2-24B-Instruct-2512 king? | 5 | Not promoting and championing Devstral Small 2, just sharing to ask what others are experiencing.
I’ve been trying to move away from cloud services and focus more on local LLM solutions for agent based coding environment.
My setup is 3x3090 — 72GB VRAM with 64GB RAM (ddr4)
Starting with the AI extension, I’ve tried ... | 2026-01-09T16:54:34 | https://www.reddit.com/r/LocalLLaMA/comments/1q8dkfl/in_72gb_vram_is/ | liviuberechet | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8dkfl | false | null | t3_1q8dkfl | /r/LocalLLaMA/comments/1q8dkfl/in_72gb_vram_is/ | false | false | self | 5 | null |
Alexandre Pedrosa works at Meta and Microsoft, like an Executive Interoperability between Superintelligences Architect and AI Integrator | 0 | Alexandre Pedrosa works at Meta and Microsoft, like an Executive Interoperability between Superintelligences Architect and AI Integrator | 2026-01-09T16:41:46 | RecentJacket3152 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q8d7uw | false | null | t3_1q8d7uw | /r/LocalLLaMA/comments/1q8d7uw/alexandre_pedrosa_works_at_meta_and_microsoft/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '1qanuyo1rccg1', 'resolutions': [{'height': 191, 'url': 'https://preview.redd.it/1qanuyo1rccg1.png?width=108&crop=smart&auto=webp&s=bd0134894f42ec8e507176f0090e1599cb5eaf86', 'width': 108}, {'height': 383, 'url': 'https://preview.redd.it/1qanuyo1rccg1.png?width=216&crop=smart&auto=we... | |
Convert entire books to audio with TTS-Story | 7 | I've updated the tts-story software I created so that it supports Chatterbox Turbo. If you're looking for something that will allow you to convert an entire book to an audiobook with easy management tools, you should check it out. Utilizes a range of tools to allow someone to create great text speech compositions
[h... | 2026-01-09T16:40:02 | https://www.reddit.com/r/LocalLLaMA/comments/1q8d67w/convert_entire_books_to_audio_with_ttsstory/ | Xerophayze | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8d67w | false | null | t3_1q8d67w | /r/LocalLLaMA/comments/1q8d67w/convert_entire_books_to_audio_with_ttsstory/ | false | false | 7 | null | |
I have created my AI bot. Please test it. | 1 | [removed] | 2026-01-09T16:33:06 | https://www.reddit.com/r/LocalLLaMA/comments/1q8czg5/i_have_created_my_ai_bot_please_test_it/ | Every-Throat784 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8czg5 | false | null | t3_1q8czg5 | /r/LocalLLaMA/comments/1q8czg5/i_have_created_my_ai_bot_please_test_it/ | false | false | self | 1 | null |
AI websearch with searxng stopped working | 5 | The absolute AI-killer use case in my fab was the AI supported web search.
About a year ago I set up OpenwebUI, litellm, AI engines (first ollama, now llama.cpp) and a searxng instance.
Everybody stopped using google and started searching through openwebUIs/searxng combined with qwen3-30b-instruct. A typical wiinn... | 2026-01-09T16:23:23 | https://www.reddit.com/r/LocalLLaMA/comments/1q8cpus/ai_websearch_with_searxng_stopped_working/ | Impossible_Art9151 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8cpus | false | null | t3_1q8cpus | /r/LocalLLaMA/comments/1q8cpus/ai_websearch_with_searxng_stopped_working/ | false | false | self | 5 | null |
The reason why RAM has become so expensive | 3,883 | 2026-01-09T16:18:22 | InvadersMustLive | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q8ckz0 | false | null | t3_1q8ckz0 | /r/LocalLLaMA/comments/1q8ckz0/the_reason_why_ram_has_become_so_expensive/ | false | false | default | 3,883 | {'enabled': True, 'images': [{'id': 'sgbhubsomccg1', 'resolutions': [{'height': 39, 'url': 'https://preview.redd.it/sgbhubsomccg1.png?width=108&crop=smart&auto=webp&s=436badcfe0680c1dd74a6ebd3a2e15462a9a64b7', 'width': 108}, {'height': 79, 'url': 'https://preview.redd.it/sgbhubsomccg1.png?width=216&crop=smart&auto=webp... | ||
Local LLM Generation Speeds (5090 FE + 3090 Ti, llama.cpp) | 1 | I couldn’t find consistent real-world speed benchmarks for local LLMs, so I ran my own tests.
Sharing in case this helps anyone choosing a model.
**Setup**
* GPUs: RTX 5090 FE + RTX 3090 Ti (both at 80% power limit)
* OS: Debian 13
* Runtime: llama.cpp
* Context: 32k
* Metric: tokens/sec (generation)
**Results**
... | 2026-01-09T16:13:17 | https://www.reddit.com/r/LocalLLaMA/comments/1q8cfss/local_llm_generation_speeds_5090_fe_3090_ti/ | Shoddy_Bed3240 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8cfss | false | null | t3_1q8cfss | /r/LocalLLaMA/comments/1q8cfss/local_llm_generation_speeds_5090_fe_3090_ti/ | false | false | self | 1 | null |
Wh SVD Breaks LLMs (And How to Fix It) | 0 | 2026-01-09T16:09:33 | https://youtu.be/MGS39vd6mRk | JosefAlbers05 | youtu.be | 1970-01-01T00:00:00 | 0 | {} | 1q8cc0t | false | null | t3_1q8cc0t | /r/LocalLLaMA/comments/1q8cc0t/wh_svd_breaks_llms_and_how_to_fix_it/ | false | false | default | 0 | null | |
Real-world DGX Spark experiences after 1-2 months? Fine-tuning, stability, hidden pitfalls? | 17 | I’d like to hear from those who have been using the DGX Spark for 1-2 months now. What’s your experience so far?
I’m particularly interested in fine-tuning capabilities, and I find both the NVIDIA software stack and the possibilities offered by the 128 GB of memory very appealing. I’m currently practicing on an RTX 50... | 2026-01-09T16:04:22 | https://www.reddit.com/r/LocalLLaMA/comments/1q8c6x1/realworld_dgx_spark_experiences_after_12_months/ | PromptAndHope | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8c6x1 | false | null | t3_1q8c6x1 | /r/LocalLLaMA/comments/1q8c6x1/realworld_dgx_spark_experiences_after_12_months/ | false | false | self | 17 | null |
I stopped prompt-engineering and gave my agent a world instead | 0 | I’m a software engineer based in South Korea.
Like many Koreans, I remember the day Lee Sedol played AlphaGo.
It was a historic moment — but it left me with a technical question:
**Does intelligence have to exist as a centralized, amnesic system owned by a few?**
I’m not approaching this as a philosophical questio... | 2026-01-09T15:53:03 | https://v.redd.it/ype5kcwvhccg1 | TraditionalListen994 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q8bw23 | false | {'reddit_video': {'bitrate_kbps': 1200, 'dash_url': 'https://v.redd.it/ype5kcwvhccg1/DASHPlaylist.mpd?a=1770566000%2CZGUxNGI5ZGNiYjExMGM3NzI4Mjg0ZDgwOTVkNmJiZmE2ODE4NjQxNTU2NzZjMDhhMTA4MTIzNDgwZDU3Y2U0Yg%3D%3D&v=1&f=sd', 'duration': 31, 'fallback_url': 'https://v.redd.it/ype5kcwvhccg1/CMAF_480.mp4?source=fallback', 'ha... | t3_1q8bw23 | /r/LocalLLaMA/comments/1q8bw23/i_stopped_promptengineering_and_gave_my_agent_a/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'MXg5ZWhnd3ZoY2NnMR0qVVHjhlSKWaQ6hAuAmm6nIAy_UC4LFUJ7u0tvXIfD', 'resolutions': [{'height': 83, 'url': 'https://external-preview.redd.it/MXg5ZWhnd3ZoY2NnMR0qVVHjhlSKWaQ6hAuAmm6nIAy_UC4LFUJ7u0tvXIfD.png?width=108&crop=smart&format=pjpg&auto=webp&s=6734c2ed148742f8ea44c1ec7ddb8ea366e0b... | |
Alternatives to DeepInfra B200 for GPU rentals | 3 | I typically rent GPUs for training runs, usually between 1 and 7 days. Until recently, I was using the B200 GPUs for $2.49/hr on DeepInfra, which worked really well in terms of pricing and overall ease of use.
Availability on DeepInfra has become an issue lately, so I’m looking for alternative providers that offer sim... | 2026-01-09T15:46:18 | https://www.reddit.com/r/LocalLLaMA/comments/1q8bpn0/alternatives_to_deepinfra_b200_for_gpu_rentals/ | Fabulous-Original-69 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8bpn0 | false | null | t3_1q8bpn0 | /r/LocalLLaMA/comments/1q8bpn0/alternatives_to_deepinfra_b200_for_gpu_rentals/ | false | false | self | 3 | null |
Framework de réduction tokens LLM - 71% économies (tests validés) | 0 | Salut, J'ai développé une méthode (Théorème des Innommables ⧉/⧉ₛ) qui optimise les réponses LLM en marquant explicitement les gaps de connaissance.
Principe :
identifier et marquer ce qu'on sait vs ce qu'on ne sait pas avant de générer une réponse :
\- ⧉ = gaps irréductibles
\- ⧉ₛ = hypothèses testables Le LLM é... | 2026-01-09T15:45:06 | https://www.reddit.com/r/LocalLLaMA/comments/1q8bohx/framework_de_réduction_tokens_llm_71_économies/ | OthoXIII | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8bohx | false | null | t3_1q8bohx | /r/LocalLLaMA/comments/1q8bohx/framework_de_réduction_tokens_llm_71_économies/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'uWna0vwnZ9wlxAeEIZSSQ85gTGl9fK0mbwqMPDvkfWA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/uWna0vwnZ9wlxAeEIZSSQ85gTGl9fK0mbwqMPDvkfWA.png?width=108&crop=smart&auto=webp&s=3ff946c2b9bb25a8c2b3588206c5cead8d7b2914', 'width': 108}, {'height': 108, 'url': 'h... |
Finetuning Granite 4.0 h 1b on Tesla A100 | 3 | I'm trying to finetune Granite 4.0 H 1B on Tesla A100 (40gb vram) and I keep running into OOM. I'm following the unsloth example notebook pretty much exactly (just my own dataset) and I keep getting an OOM error running in Collab. Am I wrong to think 40gb vram should be able to tune this model on 2 batches per device? ... | 2026-01-09T15:41:27 | https://www.reddit.com/r/LocalLLaMA/comments/1q8bl2w/finetuning_granite_40_h_1b_on_tesla_a100/ | thepetek | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8bl2w | false | null | t3_1q8bl2w | /r/LocalLLaMA/comments/1q8bl2w/finetuning_granite_40_h_1b_on_tesla_a100/ | false | false | self | 3 | null |
Ministral-3-14B-Reasoning: High Intelligence on Low VRAM – A Benchmark-Comparison | 57 | Below you’ll find a benchmark comparison of Ministral-3-14B-Reasoning-2512 against 10 other large language models.
**LiveCodeBench:**
|Model|LiveCodeBench|
|:-|:-|
|GLM-4.5-Air|70.7%|
|Gemini 2.5 Pro Preview|69.0%|
|Llama 3.1 Nemotron Ultra|66.3%|
|Qwen3 32B|65.7%|
|MiniMax M1 80K|65.0%|
|**Ministral 3 (14B Reasoning... | 2026-01-09T15:27:49 | https://www.reddit.com/r/LocalLLaMA/comments/1q8b82f/ministral314breasoning_high_intelligence_on_low/ | Snail_Inference | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8b82f | false | null | t3_1q8b82f | /r/LocalLLaMA/comments/1q8b82f/ministral314breasoning_high_intelligence_on_low/ | false | false | self | 57 | {'enabled': False, 'images': [{'id': 'EQBR4YCWgaPUszfngCcU13vtzwXs5zXpkLopq7odfKs', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/EQBR4YCWgaPUszfngCcU13vtzwXs5zXpkLopq7odfKs.jpeg?width=108&crop=smart&auto=webp&s=62fba8801cdccde0c1be1ac5c0f86cfbdf64227c', 'width': 108}, {'height': 113, 'url': '... |
Tested GLM 4.7 vs MiniMax M2.1 - impressed with the performance of both | 65 | Full transparency, I work closely with the Kilo Code team, so take this with appropriate context. That said, I think the results are genuinely interesting for anyone running local/open-weight models.
We ran GLM 4.7 and MiniMax M2.1 through a real coding benchmark, building a CLI task runner with 20 features (dependenc... | 2026-01-09T15:17:53 | https://www.reddit.com/r/LocalLLaMA/comments/1q8aypi/tested_glm_47_vs_minimax_m21_impressed_with_the/ | alokin_09 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8aypi | false | null | t3_1q8aypi | /r/LocalLLaMA/comments/1q8aypi/tested_glm_47_vs_minimax_m21_impressed_with_the/ | false | false | 65 | null | |
I built a tiny CLI to run Claude Code in a Ralph Wiggum loop (with git worktrees) | 5 | I’ve been experimenting a lot with the Ralph Wiggum methodology for Claude-based coding, and things got messy fast.
So I built a small CLI called chief that:
• spins up isolated git worktrees
• lets Claude plan first
• converts plans into structured tasks
• runs an autonomous loop with verification + commits per s... | 2026-01-09T14:29:07 | https://www.reddit.com/r/LocalLLaMA/comments/1q89p6s/i_built_a_tiny_cli_to_run_claude_code_in_a_ralph/ | mauricekleine | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q89p6s | false | null | t3_1q89p6s | /r/LocalLLaMA/comments/1q89p6s/i_built_a_tiny_cli_to_run_claude_code_in_a_ralph/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': 'RS8ybHNYDtaigvfGqDFoPylbhusgcrw57YzkQBXlNwg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/RS8ybHNYDtaigvfGqDFoPylbhusgcrw57YzkQBXlNwg.png?width=108&crop=smart&auto=webp&s=29372ef5b2fb027cabd46da9bc4317f57f85523c', 'width': 108}, {'height': 108, 'url': 'h... |
DeepSeek V4 Coming | 458 | eople with direct knowledge, DeepSeek is expected to roll out a next‑generation flagship AI model in the coming weeks that focuses on strong code‑generation capabilities.
The two sources said the model, codenamed V4, is an iteration of the V3 model DeepSeek released in December 2024. Preliminary internal benchmark tes... | 2026-01-09T14:18:56 | https://www.reddit.com/r/LocalLLaMA/comments/1q89g1i/deepseek_v4_coming/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q89g1i | false | null | t3_1q89g1i | /r/LocalLLaMA/comments/1q89g1i/deepseek_v4_coming/ | false | false | self | 458 | null |
Distilling + Quantizing LLM for Local RAG | 1 | Hi everyone,
First post here plus a bit noob in running LLM models locally. But had a question. (Go easy on me)
Can I use a good LLM (lets say Llama 4.0), distill to a smaller param model, quantize it and make it focused for a very specific task for performing RAG.
Basically I want to create a hyper specialize... | 2026-01-09T13:52:29 | https://www.reddit.com/r/LocalLLaMA/comments/1q88soe/distilling_quantizing_llm_for_local_rag/ | An0n_A55a551n | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q88soe | false | null | t3_1q88soe | /r/LocalLLaMA/comments/1q88soe/distilling_quantizing_llm_for_local_rag/ | false | false | self | 1 | null |
(The Information): DeepSeek To Release Next Flagship AI Model With Strong Coding Ability | 461 | (paywall): [https://www.theinformation.com/articles/deepseek-release-next-flagship-ai-model-strong-coding-ability](https://www.theinformation.com/articles/deepseek-release-next-flagship-ai-model-strong-coding-ability) | 2026-01-09T13:39:02 | https://www.reddit.com/gallery/1q88hdc | Nunki08 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1q88hdc | false | null | t3_1q88hdc | /r/LocalLLaMA/comments/1q88hdc/the_information_deepseek_to_release_next_flagship/ | false | false | default | 461 | null |
Getting started with local llm. Some questions | 3 | Hi guys!
I have a laptop with a rtx 3070 8gb. I deployed ollama, open Web UI and I am running some small models like qwen3 4B. Quite disappointed by the output but thrilled that I managed to set this up with a rag/knowledge base.
My ideal goal:
1. Local LLM plugged to N8n on my NAS
2. A coding LLM (to dev some help... | 2026-01-09T13:27:52 | https://www.reddit.com/r/LocalLLaMA/comments/1q88864/getting_started_with_local_llm_some_questions/ | Choubix | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q88864 | false | null | t3_1q88864 | /r/LocalLLaMA/comments/1q88864/getting_started_with_local_llm_some_questions/ | false | false | self | 3 | null |
LLM for structured outputs max 9B | 3 | Looking for an LLM that is especially good at structures JSON outputs
Doesn’t necessarily have to be rly smart for this task, just rly good at doing the output in a structured way accurately
Max 9B param preferred for this task but more is ok | 2026-01-09T13:24:34 | https://www.reddit.com/r/LocalLLaMA/comments/1q885kg/llm_for_structured_outputs_max_9b/ | SlowFail2433 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q885kg | false | null | t3_1q885kg | /r/LocalLLaMA/comments/1q885kg/llm_for_structured_outputs_max_9b/ | false | false | self | 3 | null |
I've seen way too many people struggling with Arabic document extraction for RAG so here's the 5-stage pipeline that actually worked for me (especially for tabular data) | 19 | Been lurking here for a while and noticed a ton of posts about Arabic OCR/document extraction failing spectacularly. Figured I'd share what's been working for us after months of pain.
Most platform assume Arabic is just "English but right-to-left" which is... optimistic at best.
You see the problem with arabic is tex... | 2026-01-09T13:23:59 | https://www.reddit.com/r/LocalLLaMA/comments/1q8853g/ive_seen_way_too_many_people_struggling_with/ | MiserableBug140 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q8853g | false | null | t3_1q8853g | /r/LocalLLaMA/comments/1q8853g/ive_seen_way_too_many_people_struggling_with/ | false | false | self | 19 | null |
A practical 2026 roadmap for modern AI search & RAG systems | 6 | I kept seeing RAG tutorials that stop at “vector DB + prompt” and break down in real systems.
I put together a roadmap that reflects how modern AI search actually works:
– semantic + hybrid retrieval (sparse + dense)
– explicit reranking layers
– query understanding & intent
– agentic RAG (query decomposition, ... | 2026-01-09T13:06:51 | https://www.reddit.com/r/LocalLLaMA/comments/1q87rs6/a_practical_2026_roadmap_for_modern_ai_search_rag/ | ReverseBlade | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q87rs6 | false | null | t3_1q87rs6 | /r/LocalLLaMA/comments/1q87rs6/a_practical_2026_roadmap_for_modern_ai_search_rag/ | false | false | self | 6 | {'enabled': False, 'images': [{'id': 'QABS3yJC0X2Ru8wg8nw0_8nLlOTNQRJcqNPuCfynfUI', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/QABS3yJC0X2Ru8wg8nw0_8nLlOTNQRJcqNPuCfynfUI.png?width=108&crop=smart&auto=webp&s=414162e91fffeb7cdf977a92858d924d92810a63', 'width': 108}, {'height': 216, 'url': '... |
19 Hour Free YouTube Course on Building Your Own AI Coding Agent From Scratch! | 8 | 2026-01-09T12:53:25 | https://youtu.be/3GjE_YAs03s?si=L_5Y-ui6Ak6OY3qr | OSetups | youtu.be | 1970-01-01T00:00:00 | 0 | {} | 1q87hbs | false | {'oembed': {'author_name': 'Rivaan Ranawat', 'author_url': 'https://www.youtube.com/@RivaanRanawat', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/3GjE_YAs03s?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyr... | t3_1q87hbs | /r/LocalLLaMA/comments/1q87hbs/19_hour_free_youtube_course_on_building_your_own/ | false | false | default | 8 | {'enabled': False, 'images': [{'id': 'wS8sauqZ1jiV_2Ah2-NXqVc19TG0tMdfdWnIiS_AWfE', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/wS8sauqZ1jiV_2Ah2-NXqVc19TG0tMdfdWnIiS_AWfE.jpeg?width=108&crop=smart&auto=webp&s=e0ef4b2324e377706c6025efc2ca7a870c2d24e6', 'width': 108}, {'height': 162, 'url': '... | |
PCIe AI accelerator card. Powered by 4 quad-core Metis AIPUs | Axelera AI Store | 2 | Anyone heard of this before? | 2026-01-09T12:47:47 | https://store.axelera.ai/products/pcie-ai-accelerator-card-powered-by-4-metis-aipu | megadonkeyx | store.axelera.ai | 1970-01-01T00:00:00 | 0 | {} | 1q87d7f | false | null | t3_1q87d7f | /r/LocalLLaMA/comments/1q87d7f/pcie_ai_accelerator_card_powered_by_4_quadcore/ | false | false | default | 2 | null |
Ways to identify page category | 1 | Hi
I'm working on backend project with django and playwright to open pages, after loading the page, I need to identify what type of site it is (hotel , clothing brand, ads/landing page...). I tried Llama 3 on CPU locally and it gives good results(extracting body content), but slow and I'm unsure about deployment. (ple... | 2026-01-09T12:35:09 | https://www.reddit.com/r/LocalLLaMA/comments/1q874bo/ways_to_identify_page_category/ | Ok_Jury_9060 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q874bo | false | null | t3_1q874bo | /r/LocalLLaMA/comments/1q874bo/ways_to_identify_page_category/ | false | false | self | 1 | null |
Why is “AI memory” still all hype? Where are the verifiable benchmarks + real-world comparison videos? | 11 | I have been looking into a bunch of AI memory tools and these are the primary ones I found:
* Supermemory (supermemory.ai)
* mem0 (mem0.ai)
* Backboard (backboard.io)
* Zep (incl. Graphiti/knowledge-graph style)
* Letta (letta.com)
* EverMind / EverMemOS (evermind.ai; still not released publicly)
* Papr (papr.ai)
* Me... | 2026-01-09T12:20:09 | https://www.reddit.com/r/LocalLLaMA/comments/1q86tz8/why_is_ai_memory_still_all_hype_where_are_the/ | ReikenRa | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q86tz8 | false | null | t3_1q86tz8 | /r/LocalLLaMA/comments/1q86tz8/why_is_ai_memory_still_all_hype_where_are_the/ | false | false | self | 11 | null |
Advice on a GPU server under $150k | 1 | An organization I've been working with has been awarded a \~$150k grant to buy a new GPU server. The main use will be some kind of applied research on real-world use cases of the most capable open source models. Most of the time it'll be used for inference with ocassional fine-tunings. Here'a a breakdown of the wishlis... | 2026-01-09T12:00:20 | https://www.reddit.com/r/LocalLLaMA/comments/1q86fys/advice_on_a_gpu_server_under_150k/ | kantydir | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q86fys | false | null | t3_1q86fys | /r/LocalLLaMA/comments/1q86fys/advice_on_a_gpu_server_under_150k/ | false | false | self | 1 | null |
Looking for anonymized blood test reports | 2 | Hey, so I am a computer science major and currently working on a healthcare related LLM-based system which can interpret medical reports.
As the title says, I am looking for datasets that contains blood test reports (CBC, lipid profile, LPD, etc.). It would be really great if anyone can provide a link to some public d... | 2026-01-09T11:43:34 | https://www.reddit.com/r/LocalLLaMA/comments/1q864t9/looking_for_anonymized_blood_test_reports/ | ayuzzzi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q864t9 | false | null | t3_1q864t9 | /r/LocalLLaMA/comments/1q864t9/looking_for_anonymized_blood_test_reports/ | false | false | self | 2 | null |
I wrote a bare-metal Llama 2 inference engine in pure C++20 (No Torch, No GGML) to study the 'Memory Wall' on ARM64. | 15 | 2026-01-09T11:37:32 | https://github.com/farukalpay/stories100m | Scary_Panic3165 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1q860r2 | false | null | t3_1q860r2 | /r/LocalLLaMA/comments/1q860r2/i_wrote_a_baremetal_llama_2_inference_engine_in/ | false | false | default | 15 | {'enabled': False, 'images': [{'id': 'nFIK1RJFcsg_H5_wdE3jN74nhXmxmWmCfMwKCyXT4NY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/nFIK1RJFcsg_H5_wdE3jN74nhXmxmWmCfMwKCyXT4NY.png?width=108&crop=smart&auto=webp&s=894dd2dc69266e2315254c0f2a815fbedb9df9ec', 'width': 108}, {'height': 108, 'url': 'h... | |
Call recording summarization at scale: Commercial STT + small fine-tuned LLM vs direct audio→summary multimodal? | 0 | Hey folks — looking for suggestions / war stories from anyone doing call recording summarization at production scale.
**Context**
* We summarize customer support call recordings (audio) into structured summaries.
* **Languages:** Hindi, English, Bengali, Tamil, Marathi (often mixed); basically indic languages.
* **Ca... | 2026-01-09T11:36:18 | https://www.reddit.com/r/LocalLLaMA/comments/1q85zy2/call_recording_summarization_at_scale_commercial/ | Ok-Rooster-8120 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q85zy2 | false | null | t3_1q85zy2 | /r/LocalLLaMA/comments/1q85zy2/call_recording_summarization_at_scale_commercial/ | false | false | self | 0 | null |
5 Healthy Plants Every Professional Must Have In Their Houses | 1 | [removed] | 2026-01-09T11:02:59 | https://newsaffairng.com/2024/08/11/5-healthy-plants-every-professional-must-have-in-their-houses/ | Drilbowling | newsaffairng.com | 1970-01-01T00:00:00 | 0 | {} | 1q85f3q | false | null | t3_1q85f3q | /r/LocalLLaMA/comments/1q85f3q/5_healthy_plants_every_professional_must_have_in/ | false | false | default | 1 | null |
Big tech companies, now "DRAM beggars," are staying in Pangyo and Pyeongtaek, demanding "give us some supplies." | 289 | Not a Korean speaker. Came across this in another sub. The TLDR is that everyone is scrambling to buy as much as they can as soon as they can, because "demanding a 50-60% increase in server DRAM supply prices from the previous quarter during their first-quarter negotiations with customers".
Per the article, DDR4 price... | 2026-01-09T10:28:56 | https://www.chosun.com/economy/tech_it/2026/01/09/MZNIFPCMTZGHHPV5757NJC5QW4/ | FullstackSensei | chosun.com | 1970-01-01T00:00:00 | 0 | {} | 1q84u82 | false | null | t3_1q84u82 | /r/LocalLLaMA/comments/1q84u82/big_tech_companies_now_dram_beggars_are_staying/ | false | false | default | 289 | {'enabled': False, 'images': [{'id': 'bSPrxxtNL1oMDlmeG0HktX0ZjOAtRM_In15JbYuAojA', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/bSPrxxtNL1oMDlmeG0HktX0ZjOAtRM_In15JbYuAojA.jpeg?width=108&crop=smart&auto=webp&s=c95f8794d4637b9fe7de4465c12ca3e09ccf81e4', 'width': 108}, {'height': 113, 'url': '... |
What is the most powerful local llm for me | 0 | Use case - Reasoning and tool calling.
I want to integrate in my app so the llm can call api , run select sql queries.
Hardware - i3 8th gen U series
Intel uhd 620
8 gigs of ram
I know my hardware is low but i want the llm to run locally and test to show it as a idea for larger software.
I am looking for 2-4B paramet... | 2026-01-09T10:22:13 | https://www.reddit.com/r/LocalLLaMA/comments/1q84qb1/what_is_the_most_powerful_local_llm_for_me/ | Available_Canary_517 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q84qb1 | false | null | t3_1q84qb1 | /r/LocalLLaMA/comments/1q84qb1/what_is_the_most_powerful_local_llm_for_me/ | false | false | self | 0 | null |
LGAI-EXAONE/K-EXAONE-236B-A23B-GGUF · Hugging Face | 0 |
Key Features
* **Architecture & Efficiency:** Features a 236B fine-grained MoE design (23B active) optimized with **Multi-Token Prediction (MTP)**, enabling self-speculative decoding that boosts inference throughput by approximately 1.5x.
* **Long-Context Capabilities:** Natively supports a **256K context window**,... | 2026-01-09T10:18:55 | https://huggingface.co/LGAI-EXAONE/K-EXAONE-236B-A23B-GGUF | jacek2023 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q84odf | false | null | t3_1q84odf | /r/LocalLLaMA/comments/1q84odf/lgaiexaonekexaone236ba23bgguf_hugging_face/ | false | false | default | 0 | null |
Is it just me or has CES really not delivered anything exciting for local LLM setups? | 38 | CES this year has been strangely quiet imho. There's no big banger announcement. There's Phison with their AiDaptiv+ solution that supposedly extends VRAM to some SSD setup, but that's been talked about at Computex already and if I'm not mistaken a year ago, but nothing about availability. What do you think is the reas... | 2026-01-09T10:10:02 | https://www.reddit.com/r/LocalLLaMA/comments/1q84j0r/is_it_just_me_or_has_ces_really_not_delivered/ | Mr_Moonsilver | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q84j0r | false | null | t3_1q84j0r | /r/LocalLLaMA/comments/1q84j0r/is_it_just_me_or_has_ces_really_not_delivered/ | false | false | self | 38 | null |
Create specialized Ollama models in 30 seconds | 0 | I just released a new update for OllaMan(Ollama Manager), and it includes a Model Factory to make local agent creation effortless.
Pick a base model (Llama 3, Mistral, etc.).
Set your System Prompt (or use one of the built-in presets).
Tweak Parameters visually (Temp, TopP, TopK).
Click Create.
Boom. You have a ... | 2026-01-09T09:42:06 | https://v.redd.it/dg58fp45oacg1 | ComfyTightwad | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q842vf | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/dg58fp45oacg1/DASHPlaylist.mpd?a=1770543741%2CZTBlZGU2OGE4NzE1ZGU0MGZmM2MxYWNlM2U5YzczNThhN2IxYTQyOTA3OGVhMDNhMGZhZWFjMzk4NGM5ODQ2Yw%3D%3D&v=1&f=sd', 'duration': 47, 'fallback_url': 'https://v.redd.it/dg58fp45oacg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1q842vf | /r/LocalLLaMA/comments/1q842vf/create_specialized_ollama_models_in_30_seconds/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'cmNnNXo3NTVvYWNnMS7UCVRbAZLkQIWiFFfUkEkFXIGpC2B-Hyedu35-gMRt', 'resolutions': [{'height': 68, 'url': 'https://external-preview.redd.it/cmNnNXo3NTVvYWNnMS7UCVRbAZLkQIWiFFfUkEkFXIGpC2B-Hyedu35-gMRt.png?width=108&crop=smart&format=pjpg&auto=webp&s=27a81148997446812db07df30380c011bdc0c... | |
kimi k3 model coming with 500m funding. anyone tested k2 thinking mode for coding? | 18 | moonshot (kimi) just closed 500m series c. idg led, alibaba and tencent followed. funding going to k3 model development and compute expansion.
k2 thinking mode already out. scored decent on benchmarks but curious about real world performance for coding tasks.
been testing k2 through verdent for a few weeks. the think... | 2026-01-09T09:42:03 | https://www.reddit.com/r/LocalLLaMA/comments/1q842tz/kimi_k3_model_coming_with_500m_funding_anyone/ | Jealous-Leek-5428 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q842tz | false | null | t3_1q842tz | /r/LocalLLaMA/comments/1q842tz/kimi_k3_model_coming_with_500m_funding_anyone/ | false | false | self | 18 | null |
Dnhkng GLaDOS Plug-ins? Help! | 0 | Hey everyone. I'm pretty new to this whole world of locally hosted LLM's. I have established llama 3.1 8B, and dnhkng's AMAZING glados TTS system.
Following natural local LLM progression of all nerds, I want to integrate it into a smart home system.
My question is: is it possible to somehow have my llama 3.1 8b tell ... | 2026-01-09T09:38:39 | https://www.reddit.com/r/LocalLLaMA/comments/1q840uv/dnhkng_glados_plugins_help/ | EducationalFee4876 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q840uv | false | null | t3_1q840uv | /r/LocalLLaMA/comments/1q840uv/dnhkng_glados_plugins_help/ | false | false | self | 0 | null |
Quick questions for M3 Ultra mac studio holders with 256-612GB RAM | 2 | Hey everyone!
I'm thinking of buying a used or refurbished M3 Ultra (with 192GB unified memory) to run GLM 4.7 Q4. I need to handle about 1-2 concurrent requests.
Can anyone share their experience with this setup? What kind of output speed (tokens/s) should I expect? | 2026-01-09T09:12:13 | https://www.reddit.com/r/LocalLLaMA/comments/1q83ls8/quick_questions_for_m3_ultra_mac_studio_holders/ | djdeniro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q83ls8 | false | null | t3_1q83ls8 | /r/LocalLLaMA/comments/1q83ls8/quick_questions_for_m3_ultra_mac_studio_holders/ | false | false | self | 2 | null |
How Do I Setup Local Qwen Image edit and Z Image etc Models I am having trouble setting up for my 12GB Vram RTX 4070 super | 1 | I am having hard time setting up GGUF's its my first time, and I am getting a lot of errors which lead to crash I am pretty sure its lack of vram and model mismatch. So any source or guides that could me figure it out. | 2026-01-09T08:49:40 | https://www.reddit.com/r/LocalLLaMA/comments/1q838ss/how_do_i_setup_local_qwen_image_edit_and_z_image/ | Revenge8907 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q838ss | false | null | t3_1q838ss | /r/LocalLLaMA/comments/1q838ss/how_do_i_setup_local_qwen_image_edit_and_z_image/ | false | false | self | 1 | null |
Minimax also live on Hong Kong Stock Exchange | 117 | 2026-01-09T08:33:27 | No_Conversation9561 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q82zdm | false | null | t3_1q82zdm | /r/LocalLLaMA/comments/1q82zdm/minimax_also_live_on_hong_kong_stock_exchange/ | false | false | default | 117 | {'enabled': True, 'images': [{'id': '999goi9xbacg1', 'resolutions': [{'height': 128, 'url': 'https://preview.redd.it/999goi9xbacg1.jpeg?width=108&crop=smart&auto=webp&s=8277a69030c06978ad3a257033a567ae81b1d17f', 'width': 108}, {'height': 257, 'url': 'https://preview.redd.it/999goi9xbacg1.jpeg?width=216&crop=smart&auto=... | ||
Completely stumped with strange issue with my dual RTX 6000 Pro LLM server | 13 | This is really out there, and I've tried a lot and have yet to find a solution.
First off, my system.
Ryzen 5950X
32G DDR4
Asus Dark Hero
RTX 6000 Pro Workstation 600W
RTX 6000 pro Workstation 600W
Arch Linux
Here's where things gets weird, I've been running this system with zero problems f... | 2026-01-09T08:28:02 | https://www.reddit.com/r/LocalLLaMA/comments/1q82wak/completely_stumped_with_strange_issue_with_my/ | itsjustmarky | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q82wak | false | null | t3_1q82wak | /r/LocalLLaMA/comments/1q82wak/completely_stumped_with_strange_issue_with_my/ | false | false | self | 13 | null |
Designing an on-prem AI + vision + automation stack, looking for architecture advice... | 2 | Hey everyone,
I’m in the process of designing a **self-hosted, on-prem infrastructure** for a company and I want to inquire about the architecture before locking anything in.
Keep in mind while reading this I'm a 19 year old in school for business. I taught myself everything about this so i apologize if I say anythin... | 2026-01-09T08:25:07 | https://www.reddit.com/r/LocalLLaMA/comments/1q82ulm/designing_an_onprem_ai_vision_automation_stack/ | Jefftoro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q82ulm | false | null | t3_1q82ulm | /r/LocalLLaMA/comments/1q82ulm/designing_an_onprem_ai_vision_automation_stack/ | false | false | self | 2 | null |
Best small model for PDF summarization | 0 | I normally use AI, to regurgitate large bodies of content, like pdfs, or book chapters, so that I can learn more quickly. However, ChatGPT and Claude rate limits are becoming a bottleneck, which models can I run locally on my M1 macbook air(8gb) to circumvent this?
My workflow:
PDF(or part of pdf)-> LLM-> "explain X... | 2026-01-09T08:21:44 | https://www.reddit.com/r/LocalLLaMA/comments/1q82sms/best_small_model_for_pdf_summarization/ | Ok_Construction_3021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q82sms | false | null | t3_1q82sms | /r/LocalLLaMA/comments/1q82sms/best_small_model_for_pdf_summarization/ | false | false | self | 0 | null |
Show us your llama.cpp command line arguments | 41 | And mention your hardware.
Recently I switched to llama.cpp and I have to say the hardest part was to optimise the arguments. Please share yours and if you are running it within a service or just a script, share it as well. | 2026-01-09T08:09:15 | https://www.reddit.com/r/LocalLLaMA/comments/1q82l7m/show_us_your_llamacpp_command_line_arguments/ | __Maximum__ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q82l7m | false | null | t3_1q82l7m | /r/LocalLLaMA/comments/1q82l7m/show_us_your_llamacpp_command_line_arguments/ | false | false | self | 41 | null |
Start of 2026 what’s the best open coding model? | 19 | I have been using Qwen Coder 480b at 4 bit, and it’s ok for a first draft, but once it’s wrong it fills my code base with junk very quickly. I am mainly Typescript, but other languages interesting - PHP, C#, Python Java.
I have no time for 30b models, they are brain dead compared to the bigger ones. I hear good things... | 2026-01-09T07:50:51 | https://www.reddit.com/r/LocalLLaMA/comments/1q82ae8/start_of_2026_whats_the_best_open_coding_model/ | alexp702 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q82ae8 | false | null | t3_1q82ae8 | /r/LocalLLaMA/comments/1q82ae8/start_of_2026_whats_the_best_open_coding_model/ | false | false | self | 19 | null |
Anyone else feel LLM performance is more about workflow than the model itself? | 1 | [removed] | 2026-01-09T06:31:54 | https://www.reddit.com/r/LocalLLaMA/comments/1q80yth/anyone_else_feel_llm_performance_is_more_about/ | InternationalSkin698 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q80yth | false | null | t3_1q80yth | /r/LocalLLaMA/comments/1q80yth/anyone_else_feel_llm_performance_is_more_about/ | false | false | self | 1 | null |
TTS voice cloning + disentanglement (ala style transfer or accent transfer) | 0 | Can anyone give me a quick update on the state of style/accent transfer for voice cloning. e.g. take a recording of your own voice, and give it different properties (e.g. emotion, accents, characteristics)
Are there any open models capable of this yet? | 2026-01-09T06:28:50 | https://www.reddit.com/r/LocalLLaMA/comments/1q80wrv/tts_voice_cloning_disentanglement_ala_style/ | paswut | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q80wrv | false | null | t3_1q80wrv | /r/LocalLLaMA/comments/1q80wrv/tts_voice_cloning_disentanglement_ala_style/ | false | false | self | 0 | null |
I created a open source Chrome extension that gives AI assistants persistent memory | 0 | I built Vektori Memory because I was frustrated with repeating myself so often. Every time I started a new conversation with Claude/ChatGPT, I had to re explain my entire project context.
Vektori Memory runs in the background and maintains context across all your AI conversations. It captures key facts, decisions, ... | 2026-01-09T06:02:08 | https://www.reddit.com/r/LocalLLaMA/comments/1q80fic/i_created_a_open_source_chrome_extension_that/ | Expert-Address-2918 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q80fic | false | null | t3_1q80fic | /r/LocalLLaMA/comments/1q80fic/i_created_a_open_source_chrome_extension_that/ | false | false | self | 0 | null |
what communities can i join for real time chat about models, model performance, etc. | 3 | looking for like a highly active discord version of this sub. | 2026-01-09T06:01:55 | https://www.reddit.com/r/LocalLLaMA/comments/1q80fcn/what_communities_can_i_join_for_real_time_chat/ | throwawaycanc3r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q80fcn | false | null | t3_1q80fcn | /r/LocalLLaMA/comments/1q80fcn/what_communities_can_i_join_for_real_time_chat/ | false | false | self | 3 | null |
Help with loading MiniMax M.2 MOE model with multiple GPUs. | 0 | I have an EVO-X2 with 128GB and an RTX 5090. I am trying to run the MiniMax 2.1 MXFP4 model which is 129GB using llama.cpp. I would like to load as many of the expert layers as possible on the RTX card and the rest on the EVO but I am struggle with the proper command. I don't quite understand the different way you can... | 2026-01-09T05:58:41 | https://www.reddit.com/r/LocalLLaMA/comments/1q80d3r/help_with_loading_minimax_m2_moe_model_with/ | Optimal-Bass-5246 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q80d3r | false | null | t3_1q80d3r | /r/LocalLLaMA/comments/1q80d3r/help_with_loading_minimax_m2_moe_model_with/ | false | false | self | 0 | null |
Zero to daily income using AI videos | 0 | A few months ago, Arjun was stuck.
He wanted to make money online, but:
He didn’t want to show his face
He had no video editing skills
And hiring editors was too expensive
One day, he decided to try FlexoraAI.
Instead of spending hours editing, he used FlexoraAI to generate short AI videos around trending topics ... | 2026-01-09T05:46:30 | https://www.reddit.com/r/LocalLLaMA/comments/1q804zx/zero_to_daily_income_using_ai_videos/ | Simple_Hope_9685 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q804zx | false | null | t3_1q804zx | /r/LocalLLaMA/comments/1q804zx/zero_to_daily_income_using_ai_videos/ | false | false | self | 0 | null |
Introducing nanoRLHF project! | 23 | I would like to introduce nanoRLHF, a project I have been actively developing over the past three months.
[https://github.com/hyunwoongko/nanoRLHF](https://github.com/hyunwoongko/nanoRLHF)
nanoRLHF is a project that implements almost all core components of RLHF from scratch using only PyTorch and Triton. Each mod... | 2026-01-09T05:42:29 | https://www.reddit.com/r/LocalLLaMA/comments/1q80265/introducing_nanorlhf_project/ | hyunwoongko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q80265 | false | null | t3_1q80265 | /r/LocalLLaMA/comments/1q80265/introducing_nanorlhf_project/ | false | false | self | 23 | {'enabled': False, 'images': [{'id': 'SNbGVvNpYtrt5ObRBtAHTxvJqpdkQGp6mDChdKG9Ssg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/SNbGVvNpYtrt5ObRBtAHTxvJqpdkQGp6mDChdKG9Ssg.png?width=108&crop=smart&auto=webp&s=1c1a988257b764c2a220dfaa88ef642d90fda8a2', 'width': 108}, {'height': 108, 'url': 'h... |
Devstral Small 2 (Q4_K_M) on 5060 Ti 16GB and Zed Agent is amazing! | 65 | TL;DR: Here's my setup
- PC: RTX 5060 Ti 16GB, 32GB DDR5-6000 (just flexing, no RAM offloading needed here)
- [Devstral-Small-2-24B-Instruct-2512-GGUF](https://huggingface.co/lmstudio-community/Devstral-Small-2-24B-Instruct-2512-GGUF), Q4_K_M, 24k context length (the lmstudio-community version was slightly faster than ... | 2026-01-09T05:37:33 | https://www.reddit.com/r/LocalLLaMA/comments/1q7zywf/devstral_small_2_q4_k_m_on_5060_ti_16gb_and_zed/ | bobaburger | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7zywf | false | null | t3_1q7zywf | /r/LocalLLaMA/comments/1q7zywf/devstral_small_2_q4_k_m_on_5060_ti_16gb_and_zed/ | false | false | self | 65 | {'enabled': False, 'images': [{'id': 'q3KcSm3gUD2SWUzKpZcn0fQrApBGXL7RHGyMJLopazQ', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/q3KcSm3gUD2SWUzKpZcn0fQrApBGXL7RHGyMJLopazQ.png?width=108&crop=smart&auto=webp&s=e224426103ecf3becba1f88d63abbf6254d4c656', 'width': 108}, {'height': 122, 'url': 'h... |
Just finished an RTX 5090 / 128GB RAM build. Want to stress test it. Send me your heaviest render/training tasks? | 0 | Hey everyone, finally got my 5090 rig up and running. I'm looking to put it through its paces and see what it can actually handle.
If anyone has a LoRA they need training or a ComfyUI workflow that’s taking forever on your current setup, I’d love to run a few for you to see the speed benchmarks.
I'm fairly new to the... | 2026-01-09T05:12:30 | https://www.reddit.com/r/LocalLLaMA/comments/1q7zhkl/just_finished_an_rtx_5090_128gb_ram_build_want_to/ | RockGroundbreaking97 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7zhkl | false | null | t3_1q7zhkl | /r/LocalLLaMA/comments/1q7zhkl/just_finished_an_rtx_5090_128gb_ram_build_want_to/ | false | false | self | 0 | null |
Jarvis-OS: Solving Agent "Amnesia" and "Gullibility" with a Persistent State and Intent Firewall (Ollama/Llama 3.1) | 0 | I built **Jarvis-OS** to solve two specific problems in local LLM assistants: **Statelessness** and **Tool-Use Vulnerability**.
# Features:
* **Forensic Intent Firewall (FPM):** Instead of blindly trusting the LLM, a weighted logic engine (`fpm_engine.py`) scores every intent *before* routing. It evaluates **Access**... | 2026-01-09T04:59:10 | https://www.reddit.com/r/LocalLLaMA/comments/1q7z7ju/jarvisos_solving_agent_amnesia_and_gullibility/ | Dougy27 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7z7ju | false | null | t3_1q7z7ju | /r/LocalLLaMA/comments/1q7z7ju/jarvisos_solving_agent_amnesia_and_gullibility/ | false | false | self | 0 | null |
Trying to make Jarvis from Iron Man real.... here is v1 | 1 | [removed] | 2026-01-09T04:56:45 | Dougy27 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q7z5u2 | false | null | t3_1q7z5u2 | /r/LocalLLaMA/comments/1q7z5u2/trying_to_make_jarvis_from_iron_man_real_here_is/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'BfsWhcPs4QvfszKijskGA6WXxCldxzqA7QH8Bk466sA', 'resolutions': [{'height': 50, 'url': 'https://preview.redd.it/tfzmt97389cg1.gif?width=108&crop=smart&format=png8&s=779f80007280b762d752715a75a26e36edf46774', 'width': 108}, {'height': 101, 'url': 'https://preview.redd.it/tfzmt97389cg1.g... | ||
Sur5 Lite (MIT): plug-and-play offline AI local LLM USB workflow + Granite 4.0-h-1b (GGUF Q4_K_M) | 0 | Hey r/LocalLLaMA \- we just open-sourced **Sur5 Lite** under the **MIT License**.
**What it is:** a lightweight setup to run **offline local inference** via a USB distribution/use case. “Bring your own machine, keep your data local.”
**Model note:** recommended model is **IBM Granite 4.0-h-1b (Hybrid reasoning)**, **... | 2026-01-09T04:44:05 | https://github.com/Sur5ve/Sur5-Lite | Sur5ve | github.com | 1970-01-01T00:00:00 | 0 | {} | 1q7ywmx | false | null | t3_1q7ywmx | /r/LocalLLaMA/comments/1q7ywmx/sur5_lite_mit_plugandplay_offline_ai_local_llm/ | false | false | default | 0 | {'enabled': False, 'images': [{'id': 'oJt-LItaFKOv8OR85FBULagXpxnGLb_ADtIc_Koxc1k', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/oJt-LItaFKOv8OR85FBULagXpxnGLb_ADtIc_Koxc1k.png?width=108&crop=smart&auto=webp&s=bd35aa704e9e90ab545b5fbd77557ff2a1be4cfc', 'width': 108}, {'height': 108, 'url': 'h... |
We benchmarked every 4-bit quantization method in vLLM 👀 | 77 | We just published a deep dive on vLLM quantization. Tested AWQ, GPTQ, Marlin, GGUF, and BitsandBytes on Qwen2.5-32B using an H200.
Stuff we found:
* Marlin hits 712 tok/s, baseline FP16 does 461. Quantized and faster.
* GPTQ without Marlin kernel is actually slower than FP16 (276 tok/s)
* BitsandBytes had the smalles... | 2026-01-09T04:38:29 | https://www.reddit.com/r/LocalLLaMA/comments/1q7ysj2/we_benchmarked_every_4bit_quantization_method_in/ | LayerHot | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7ysj2 | false | null | t3_1q7ysj2 | /r/LocalLLaMA/comments/1q7ysj2/we_benchmarked_every_4bit_quantization_method_in/ | false | false | 77 | null | |
I built Plano - a framework-agnostic data plane with orchestration for agents | 1 | [removed] | 2026-01-09T04:10:51 | AdditionalWeb107 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q7y8er | false | null | t3_1q7y8er | /r/LocalLLaMA/comments/1q7y8er/i_built_plano_a_frameworkagnostic_data_plane_with/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'il2eia6z09cg1', 'resolutions': [{'height': 72, 'url': 'https://preview.redd.it/il2eia6z09cg1.png?width=108&crop=smart&auto=webp&s=d90c6eff8b713ea8444acbfb4d320a6f699e08d7', 'width': 108}, {'height': 145, 'url': 'https://preview.redd.it/il2eia6z09cg1.png?width=216&crop=smart&auto=web... | |
Resume Helper AI: Privacy-first resume tailor & application tracker (Ollama + APIs) | 1 | Hey r/LocalLLaMA,
I’m a solo dev working on an experimental tool called [Resume Helper AI](https://github.com/gibbenergy/Resume_Helper). It’s designed to automate resume tailoring and manage the full job application lifecycle while prioritizing data privacy. It’s a work in progress, and I’m looking for architectural a... | 2026-01-09T04:09:05 | https://www.reddit.com/r/LocalLLaMA/comments/1q7y717/resume_helper_ai_privacyfirst_resume_tailor/ | OpeningSad323 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7y717 | false | null | t3_1q7y717 | /r/LocalLLaMA/comments/1q7y717/resume_helper_ai_privacyfirst_resume_tailor/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'L1p5HLp8VAoqA5m4c5Sf_Q2OB0DQpVW1-c1wEGMrNaM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/L1p5HLp8VAoqA5m4c5Sf_Q2OB0DQpVW1-c1wEGMrNaM.png?width=108&crop=smart&auto=webp&s=f43efd7e99b123c798fdf885f07417bf015b2629', 'width': 108}, {'height': 108, 'url': 'h... |
I built Plano - a framework-agnostic data plane with orchestration for agents | 1 | [removed] | 2026-01-09T04:04:31 | AdditionalWeb107 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q7y3m3 | false | null | t3_1q7y3m3 | /r/LocalLLaMA/comments/1q7y3m3/i_built_plano_a_frameworkagnostic_data_plane_with/ | false | false | 1 | {'enabled': True, 'images': [{'id': '3ubY0LXxH5qhwE0TNm2WIjsSR3qd2mkWKLMs0PI8o8E', 'resolutions': [{'height': 72, 'url': 'https://preview.redd.it/6ooavy7zw8cg1.png?width=108&crop=smart&auto=webp&s=53552b33f840c030f94b233a96fac2d2b051d9fc', 'width': 108}, {'height': 145, 'url': 'https://preview.redd.it/6ooavy7zw8cg1.png... | ||
Problem with embedding models using llama-swap | 1 | Hi, I’ve been using llama-swap as the backend for Open WebUI. After setting up RAG on Open WebUI, and pointing to the embedding model in the Settings/Documents section, I seem to be getting this when I do a web search. I get prompt tokens, but 0 generated tokens. Is there something wrong I’m doing? I’ve set up the conf... | 2026-01-09T04:00:01 | BEEFshart | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q7y01c | false | null | t3_1q7y01c | /r/LocalLLaMA/comments/1q7y01c/problem_with_embedding_models_using_llamaswap/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'vym21bzfy8cg1', 'resolutions': [{'height': 64, 'url': 'https://preview.redd.it/vym21bzfy8cg1.jpeg?width=108&crop=smart&auto=webp&s=c05392bad40b024489631ca75020bf320c9d5b2b', 'width': 108}, {'height': 129, 'url': 'https://preview.redd.it/vym21bzfy8cg1.jpeg?width=216&crop=smart&auto=w... | |
I spent 9 months building a local AI work and play platform because I was tired of 5-terminal setups. I need help testing the Multi-GPU logic! This is a relaunch. | 0 | Hey everyone,
I’ve spent the last nine months head-down in a project called Eloquent. It started as a hobby because I was frustrated with having to juggle separate apps for chat, image gen, and voice clone just to get a decent roleplay experience.
I’ve finally hit a point where it’s feature-complete, and I’m looking ... | 2026-01-09T03:45:07 | https://github.com/boneylizard/Eloquent | Gerdel | github.com | 1970-01-01T00:00:00 | 0 | {} | 1q7xoid | false | null | t3_1q7xoid | /r/LocalLLaMA/comments/1q7xoid/i_spent_9_months_building_a_local_ai_work_and/ | false | false | default | 0 | {'enabled': False, 'images': [{'id': 'iiXjgGFE90aiqoscQZEyBtxEMV7FyeN3W9ogbA_TjrY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/iiXjgGFE90aiqoscQZEyBtxEMV7FyeN3W9ogbA_TjrY.png?width=108&crop=smart&auto=webp&s=821cb6332136259049eb15eb932d4ef1fcc3701c', 'width': 108}, {'height': 108, 'url': 'h... |
Multi modal llms vs specific llms | 0 | I was thinking if it would be better to use a multi model llms to generate images and text or use two separate llms for image and text. I'm planning on customising the image and text generation based on a single person. What do you guys think? | 2026-01-09T03:30:38 | https://www.reddit.com/r/LocalLLaMA/comments/1q7xdcp/multi_modal_llms_vs_specific_llms/ | Present-Hospital1983 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7xdcp | false | null | t3_1q7xdcp | /r/LocalLLaMA/comments/1q7xdcp/multi_modal_llms_vs_specific_llms/ | false | false | nsfw | 0 | null |
Gemma-3-4b (null-space) abliteration & RP fine-tune | 13 | I've been branching out from research to actually building models recently, and this is my first attempt at applying a lora adapter on top of my abliterations.
I used my null-space abliteration [Gemma-3-4B-IT](https://huggingface.co/jwest33/gemma-3-4b-it-null-space-abliterated) model with an adapter trained from a sub... | 2026-01-09T03:30:31 | https://huggingface.co/jwest33/gemma-3-4b-null-space-abliterated-RP-writer-GGUF | JEs4 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1q7xd96 | false | null | t3_1q7xd96 | /r/LocalLLaMA/comments/1q7xd96/gemma34b_nullspace_abliteration_rp_finetune/ | false | false | default | 13 | {'enabled': False, 'images': [{'id': '8MsDm6oseUFMBQKroxuYj3kQ8ddgGPXg7n46GwYAb90', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/8MsDm6oseUFMBQKroxuYj3kQ8ddgGPXg7n46GwYAb90.png?width=108&crop=smart&auto=webp&s=9e06fb55ffecb71cce64ffd8156096c41d92e7ca', 'width': 108}, {'height': 116, 'url': 'h... |
Is clustering two Mac Studio M2 Ultra 128gb ram 2TB worth it? I already own one. | 0 | Is clustering two Mac Studio M2 Ultra 128gb ram 2TB worth it? I already own one. Thinking about getting another one on the used market for $2500 or less. Been playing around with AI and 70b models. Anyone here have experience with clustering two Mac studios? | 2026-01-09T03:10:46 | https://www.reddit.com/r/LocalLLaMA/comments/1q7wxv9/is_clustering_two_mac_studio_m2_ultra_128gb_ram/ | Hello_david123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7wxv9 | false | null | t3_1q7wxv9 | /r/LocalLLaMA/comments/1q7wxv9/is_clustering_two_mac_studio_m2_ultra_128gb_ram/ | false | false | self | 0 | null |
Just finished Chip Huyen’s "AI Engineering" (O’Reilly) — I have 534 pages of theory and 0 lines of code. What's the "Indeed-Ready" bridge? | 0 | Hey everyone,
I just finished a cover-to-cover grind of Chip Huyen’s *AI Engineering* (the new O'Reilly release). Honestly? The book is a masterclass. I actually understand "AI-as-a-judge," RAG evaluation bottlenecks, and the trade-offs of fine-tuning vs. prompt strategy now.
**The Problem:** I am currently the defin... | 2026-01-09T02:53:50 | https://www.reddit.com/r/LocalLLaMA/comments/1q7wkaz/just_finished_chip_huyens_ai_engineering_oreilly/ | Substantial_Sky_8167 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7wkaz | false | null | t3_1q7wkaz | /r/LocalLLaMA/comments/1q7wkaz/just_finished_chip_huyens_ai_engineering_oreilly/ | false | false | self | 0 | null |
Curious Why Model File Transfers Are Slow. Moving From One SATA SSD to Another. | 0 | I'm transferring my models folder (250GB) from one hard drive to another. Both are new SATA SSDS rated at around \~500MB/s. I am getting very slow transfer speeds, around 5MB/s with sporadic bursts of up to 312MB. I know that transfer speed can be very dependent on the structure of the data being transferred but I'm c... | 2026-01-09T02:45:54 | Five9Fine | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q7wdxd | false | null | t3_1q7wdxd | /r/LocalLLaMA/comments/1q7wdxd/curious_why_model_file_transfers_are_slow_moving/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '4cyrf3xy78cg1', 'resolutions': [{'height': 69, 'url': 'https://preview.redd.it/4cyrf3xy78cg1.jpeg?width=108&crop=smart&auto=webp&s=7dadf58d2a173820431eed4bcf897c0fbd40c3ae', 'width': 108}, {'height': 139, 'url': 'https://preview.redd.it/4cyrf3xy78cg1.jpeg?width=216&crop=smart&auto=w... | |
Gemma3-27b vs Qwen2.5-14B Long 1M | 0 | Has anyone compared these two models directly for document intelligence?
In your experience, does the major increase in context size outweigh the loss of 13b active params? I have extremely long documents to summarize, compare and contrast, so context helps, but the analysis needs to be correct also.
| 2026-01-09T02:26:54 | https://www.reddit.com/r/LocalLLaMA/comments/1q7vykt/gemma327b_vs_qwen2514b_long_1m/ | FrozenBuffalo25 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7vykt | false | null | t3_1q7vykt | /r/LocalLLaMA/comments/1q7vykt/gemma327b_vs_qwen2514b_long_1m/ | false | false | self | 0 | null |
OK I get it, now I love llama.cpp | 228 | I just made the switch from Ollama to llama.cpp. Ollama is fantastic for the beginner because it lets you super easily run LLMs and switch between them all. Once you realize what you truly want to run, llama.cpp is really the way to go.
My hardware ain't great, I have a single 3060 12GB GPU and three P102-100 GPUs f... | 2026-01-09T01:39:13 | https://www.reddit.com/r/LocalLLaMA/comments/1q7uuxo/ok_i_get_it_now_i_love_llamacpp/ | vulcan4d | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7uuxo | false | null | t3_1q7uuxo | /r/LocalLLaMA/comments/1q7uuxo/ok_i_get_it_now_i_love_llamacpp/ | false | false | self | 228 | null |
Is there any models and apps for local servers that can do pics | 0 | Hi im looking for any models uncensored for pics making like transformative content like werewolfs etc but uncensored and a app that would run da model and be able to use it when im away from home | 2026-01-09T01:34:27 | https://www.reddit.com/r/LocalLLaMA/comments/1q7ur20/is_there_any_models_and_apps_for_local_servers/ | nekoboi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7ur20 | false | null | t3_1q7ur20 | /r/LocalLLaMA/comments/1q7ur20/is_there_any_models_and_apps_for_local_servers/ | false | false | nsfw | 0 | null |
SimpleLLM — a minimal (~950 LOC) LLM inference engine built from scratch | 24 | SimpleLLM's engine is async by default. Every request goes through a background inference loop that continuously batches work to keep the GPU saturated & prioritizing throughput.
|Benchmark|SimpleLLM|vLLM|
|:-|:-|:-|
|batch\_size = 1|135 tok/s|138 tok/s|
|batch\_size = 64|4,041 tok/s|3,846 tok/s|
Note: Currently, thi... | 2026-01-09T01:30:58 | https://v.redd.it/twqirt3j78cg1 | Dear-Success-1441 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1q7uo7u | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/twqirt3j78cg1/DASHPlaylist.mpd?a=1770514274%2CZmRhZWI3Nzk2NjkzYzkwYTdjYmE2Yzc3MjZlNDA2MjU4YzhjOTRiM2Q4NDRjOTgzNTYyMmQ5MzdhNjg3YjZkNQ%3D%3D&v=1&f=sd', 'duration': 25, 'fallback_url': 'https://v.redd.it/twqirt3j78cg1/CMAF_720.mp4?source=fallback', 'ha... | t3_1q7uo7u | /r/LocalLLaMA/comments/1q7uo7u/simplellm_a_minimal_950_loc_llm_inference_engine/ | false | false | 24 | {'enabled': False, 'images': [{'id': 'eW56MWo5OGo3OGNnMQt6mXHkLBiOyVm9E_-7IBj4RKtoglrz47V6J4dn3Gg-', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/eW56MWo5OGo3OGNnMQt6mXHkLBiOyVm9E_-7IBj4RKtoglrz47V6J4dn3Gg-.png?width=108&crop=smart&format=pjpg&auto=webp&s=d2806fa430b0466e583384d007c75e4ea722d... | |
What tools do you use to fine tune an embedding model? | 1 | Is this common to do at all?
I saw this detail on unsloth that implied it’s TBD https://github.com/unslothai/unsloth/issues/1996
Is there alternatives anyone knows? | 2026-01-08T23:28:03 | https://www.reddit.com/r/LocalLLaMA/comments/1q7rqr3/what_tools_do_you_use_to_fine_tune_an_embedding/ | richardanaya | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7rqr3 | false | null | t3_1q7rqr3 | /r/LocalLLaMA/comments/1q7rqr3/what_tools_do_you_use_to_fine_tune_an_embedding/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'cHk1mOToTowx0_42LFOgzEl-wRWzvy5yDA3guWLF4IQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/cHk1mOToTowx0_42LFOgzEl-wRWzvy5yDA3guWLF4IQ.png?width=108&crop=smart&auto=webp&s=eb26884ba1595891eca55292721b401ff0b61bff', 'width': 108}, {'height': 108, 'url': 'h... |
We burned $2K+ on duplicate API calls during development, so we built a caching proxy (and open-sourced it) | 0 | So my cofounder and I have been building AI tools for a few months now. Last month we looked at our OpenAI bill and realized we'd burned through way more than expected - not from production traffic, but from us just iterating during development.
You know how it is. You're debugging a prompt, hitting "run" over and ove... | 2026-01-08T23:23:13 | https://www.reddit.com/r/LocalLLaMA/comments/1q7rmit/we_burned_2k_on_duplicate_api_calls_during/ | decentralizedbee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7rmit | false | null | t3_1q7rmit | /r/LocalLLaMA/comments/1q7rmit/we_burned_2k_on_duplicate_api_calls_during/ | false | false | self | 0 | null |
Beginner advice: Can I run a local LLM for long-term worldbuilding memory? | 1 | [removed] | 2026-01-08T22:37:22 | https://www.reddit.com/r/LocalLLaMA/comments/1q7qgbc/beginner_advice_can_i_run_a_local_llm_for/ | commissarisgay | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7qgbc | false | null | t3_1q7qgbc | /r/LocalLLaMA/comments/1q7qgbc/beginner_advice_can_i_run_a_local_llm_for/ | false | false | self | 1 | null |
The NO FAKES Act has a "Fingerprinting" Trap that kills Open Source. We need to lobby for a Safe Harbor. | 574 | Hey everyone,
I’ve been reading the text of the "NO FAKES Act" currently in Congress, and it’s worse than I thought.
The Tldr: It creates a "digital replica right" for voices/likenesses. That sounds fine for stopping deepfake porn, but the liability language is a trap. It targets anyone who "makes available" a tool t... | 2026-01-08T22:33:33 | https://www.reddit.com/r/LocalLLaMA/comments/1q7qcux/the_no_fakes_act_has_a_fingerprinting_trap_that/ | PostEasy7183 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7qcux | false | null | t3_1q7qcux | /r/LocalLLaMA/comments/1q7qcux/the_no_fakes_act_has_a_fingerprinting_trap_that/ | false | false | self | 574 | null |
using functiongemma with Llama.cpp possible? | 3 | I am having a hard time with functiongemma via a [plugin ](https://github.com/getnamo/Llama-Unreal)that uses Llama.cpp (I've updated to the latest version and enalbled Kuda 13.1). I am following functiongemma's [example (best practices)](https://ai.google.dev/gemma/docs/functiongemma/formatting-and-best-practices). I... | 2026-01-08T22:31:59 | https://www.reddit.com/r/LocalLLaMA/comments/1q7qber/using_functiongemma_with_llamacpp_possible/ | PeterL111 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7qber | false | null | t3_1q7qber | /r/LocalLLaMA/comments/1q7qber/using_functiongemma_with_llamacpp_possible/ | false | false | 3 | null | |
Should I go for PCIe 5.0 or 4.0 for dual-GPU MoE inference set up | 4 | I am setting up a homelab server with 4 RTX 5090 GPUs. Two for dedicated LLM serving. The other 2 are used either for small model (not necessary LLM) training/tuning (not much multi-GPU performance requirement), or serving LLM when I am not working on tuning.
After shopping around, I noticed that servers that acce... | 2026-01-08T22:14:43 | https://www.reddit.com/r/LocalLLaMA/comments/1q7pvfs/should_i_go_for_pcie_50_or_40_for_dualgpu_moe/ | enneamer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7pvfs | false | null | t3_1q7pvfs | /r/LocalLLaMA/comments/1q7pvfs/should_i_go_for_pcie_50_or_40_for_dualgpu_moe/ | false | false | self | 4 | null |
Semantic Compression for Local LLMs (35x Input Reduction, Identical Output Quality) | 0 | First things first:
1. Yes, this was compiled and structured by a frontier AI (Claude, specifically). \~70% of the "prose" was written by me.
2. There are glaring omissions in parts of this...this was intentional to protect IP
3. This "system" is the result of months of rigorous testing, formalization, and docum... | 2026-01-08T22:07:34 | https://www.reddit.com/r/LocalLLaMA/comments/1q7polt/semantic_compression_for_local_llms_35x_input/ | Sinjynn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7polt | false | null | t3_1q7polt | /r/LocalLLaMA/comments/1q7polt/semantic_compression_for_local_llms_35x_input/ | false | false | self | 0 | null |
How does cerebras coding plan waitlist work? | 0 | Did anyone get in and try glm 4.7? Also is it also just 60k tokens/minute rate limit for the coding plan?
Basically is it a scam? | 2026-01-08T22:01:36 | https://www.reddit.com/r/LocalLLaMA/comments/1q7piyx/how_does_cerebras_coding_plan_waitlist_work/ | unraveleverything | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7piyx | false | null | t3_1q7piyx | /r/LocalLLaMA/comments/1q7piyx/how_does_cerebras_coding_plan_waitlist_work/ | false | false | self | 0 | null |
Automated the annoying parts of fine-tuning (model selection, hyperparameters, setup) | Check it out @ tunekit.app | 3 | Fine-tuning SLMs the way I wish it worked!
Same model. Same prompt. Completely different results.
That's what fine-tuning does (when you can actually get it running).
I got tired of the setup nightmare. So I built:
TuneKit: Upload your data. Get a notebook. Train free on Colab.
No GPUs to rent. No scripts to writ... | 2026-01-08T21:57:38 | https://www.reddit.com/r/LocalLLaMA/comments/1q7pf0c/automated_the_annoying_parts_of_finetuning_model/ | Consistent_One7493 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7pf0c | false | null | t3_1q7pf0c | /r/LocalLLaMA/comments/1q7pf0c/automated_the_annoying_parts_of_finetuning_model/ | false | false | self | 3 | null |
Free, open source adventure RP app (AGPL 3) | Aventura | 15 | Hi! Over these last couple of weeks, I've been working on a frontend called [Aventura](https://github.com/unkarelian/Aventura). It's 100% free and open source, under AGPL 3.
# What is Aventura?
Simply put, it's a frontend purpose built for adventure RP and creative writing. While the original release only had support... | 2026-01-08T21:42:38 | https://www.reddit.com/r/LocalLLaMA/comments/1q7p09i/free_open_source_adventure_rp_app_agpl_3_aventura/ | AuYsI | self.LocalLLaMA | 2026-01-08T21:47:18 | 0 | {} | 1q7p09i | false | null | t3_1q7p09i | /r/LocalLLaMA/comments/1q7p09i/free_open_source_adventure_rp_app_agpl_3_aventura/ | false | false | self | 15 | {'enabled': False, 'images': [{'id': 'h7XJLktPdO_l42rP-GCHLZycFSA_pcfxCxAWpDSXX5M', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/h7XJLktPdO_l42rP-GCHLZycFSA_pcfxCxAWpDSXX5M.png?width=108&crop=smart&auto=webp&s=5f42380959f408bd40f18acb982e60307dc26df6', 'width': 108}, {'height': 108, 'url': 'h... |
LLM trained from scratch on 1800s London texts (1.2B params, 90GB dataset) | 1 | [removed] | 2026-01-08T21:25:58 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1q7ojzm | false | null | t3_1q7ojzm | /r/LocalLLaMA/comments/1q7ojzm/llm_trained_from_scratch_on_1800s_london_texts/ | false | false | default | 1 | null | ||
Blackwell Buy or Not? Cold feet... | 0 | Hello All,
I just started my journey last March and have been saving for a Workstation Blackwell GPU. I finally got my Epyc H13SSL-N to play nice with two 3090's and am pretty excited about what is possible but the limitations are fairly obvious. I have an invoice and quote and should be able to get one for around 8 ... | 2026-01-08T21:21:15 | https://www.reddit.com/r/LocalLLaMA/comments/1q7ofd5/blackwell_buy_or_not_cold_feet/ | joelasmussen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1q7ofd5 | false | null | t3_1q7ofd5 | /r/LocalLLaMA/comments/1q7ofd5/blackwell_buy_or_not_cold_feet/ | false | false | self | 0 | null |
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