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Announcing: Hack the Edge by AMD × Liquid AI - San Francisco 15-16th November | 12 | Hello r/LocalLLaMA !
Join the AMD and Liquid teams at the Liquid AI Office in SF for an exclusive hackathon **Nov 15-16th.**
Over these two days you will build unique local, private, and efficient AI applications directly on AMD hardware — with guidance from Liquid and AMD researchers.
The challenge will be reveale... | 2025-11-07T07:58:41 | LiquidAI_Team | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oqojnk | false | null | t3_1oqojnk | /r/LocalLLaMA/comments/1oqojnk/announcing_hack_the_edge_by_amd_liquid_ai_san/ | false | false | default | 12 | {'enabled': True, 'images': [{'id': 'tb6azm0yjszf1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/tb6azm0yjszf1.jpeg?width=108&crop=smart&auto=webp&s=c18c25643bdf350bb630b445d6038264c3d8bcaf', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/tb6azm0yjszf1.jpeg?width=216&crop=smart&auto=... | |
Who are you | 0 | Describe yourself 😎 | 2025-11-07T07:48:52 | https://www.reddit.com/r/LocalLLaMA/comments/1oqoe9l/who_are_you/ | redteether | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqoe9l | false | null | t3_1oqoe9l | /r/LocalLLaMA/comments/1oqoe9l/who_are_you/ | false | false | self | 0 | null |
Problem Uploading PDFs in Self hosted AI | 0 | Hey everyone,
I’ve been working on building a local knowledge base for my Self Hosted AI running in OpenWebUI. I exported a large OneNote notebook to individual PDF files and then tried to upload them so the AI can use them as context.
Here’s the weird part:
Only the PDFs without any linked or embedded files (like Wor... | 2025-11-07T07:42:26 | https://www.reddit.com/r/LocalLLaMA/comments/1oqoalt/problem_uploading_pdfs_in_self_hosted_ai/ | stutau | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqoalt | false | null | t3_1oqoalt | /r/LocalLLaMA/comments/1oqoalt/problem_uploading_pdfs_in_self_hosted_ai/ | false | false | self | 0 | null |
ubergarm/Kimi-K2-Thinking-GGUF · Hugging Face | 142 | Great job ngxson, compilade, DevQuasar, Bartowski, AesSedai, and more folks who pulled together hacking on this one today! 🫶
Only one quant released so far which is `q4_0` for the routed experts and `q8_0` for everything else. This is because the original model is released in roughly this size at "full quality".
I'v... | 2025-11-07T07:32:32 | https://huggingface.co/ubergarm/Kimi-K2-Thinking-GGUF | VoidAlchemy | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1oqo57j | false | null | t3_1oqo57j | /r/LocalLLaMA/comments/1oqo57j/ubergarmkimik2thinkinggguf_hugging_face/ | false | false | 142 | {'enabled': False, 'images': [{'id': '-6vnf_3yTWf3TtVUA6a-SCJQHQSGAkjtdxEpaCd4oLc', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/-6vnf_3yTWf3TtVUA6a-SCJQHQSGAkjtdxEpaCd4oLc.png?width=108&crop=smart&auto=webp&s=5d24ac0c601b0b50d622732e4b46649f229e2c36', 'width': 108}, {'height': 116, 'url': 'h... | |
Cross-model agent workflows — anyone tried migrating prompts, embeddings, or fine-tunes? | 1 | Hey everyone,
I’m exploring the challenges of moving AI workloads between models (OpenAI, Claude, Gemini, LLaMA). Specifically:
\- Prompts and prompt chains
\- Agent workflows / multi-step reasoning
\- Context windows and memory
\- Fine-tune & embedding reuse
Has anyone tried running the same workflo... | 2025-11-07T07:27:37 | https://www.reddit.com/r/LocalLLaMA/comments/1oqo2iy/crossmodel_agent_workflows_anyone_tried_migrating/ | NoEntertainment8292 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqo2iy | false | null | t3_1oqo2iy | /r/LocalLLaMA/comments/1oqo2iy/crossmodel_agent_workflows_anyone_tried_migrating/ | false | false | self | 1 | null |
Why is the context (KV cache) vram amount for gpt-oss 120b so low | 4 | I’m running gpt oss 120b with flash attention on (does that make the quality worse or no?)
No quantized KV cache,
37/37 layers offloaded to GPU (KV)
-Ncmoe set to 31
VRAM usage 15.6/15.99gb
Ram usage 59.0/64gb (67gb on Linux mint for some reason)
Beginning of chat 22.2 tok/s haven’t tried long context tasks yet... | 2025-11-07T07:07:07 | https://www.reddit.com/r/LocalLLaMA/comments/1oqnr30/why_is_the_context_kv_cache_vram_amount_for/ | Adventurous-Gold6413 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqnr30 | false | null | t3_1oqnr30 | /r/LocalLLaMA/comments/1oqnr30/why_is_the_context_kv_cache_vram_amount_for/ | false | false | self | 4 | null |
Anyone want to check out my model? | 0 | I'm curious if it will work well since I only tested everything in Korean!
You guys are the experts, and I'm also genuinely curious if the model handles English well just by using word embeddings.
What I've implemented so far is: **System Prompt** (added today), **Memory** (RAG), and **Answer Referencing** (to source... | 2025-11-07T06:47:47 | https://www.reddit.com/r/LocalLLaMA/comments/1oqnfqo/anyone_want_to_check_out_my_model/ | Patience2277 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqnfqo | false | null | t3_1oqnfqo | /r/LocalLLaMA/comments/1oqnfqo/anyone_want_to_check_out_my_model/ | false | false | self | 0 | null |
Built a local AI Benchmark Tool - just something I made for my own testing | 1 |
Hey everyone! 👋
I’ve been tinkering with local LLMs for a while and decided to make a benchmarking dashboard for my own use — mainly to test and compare local AI models like Llm (GGUF, Transformers, and Diffusers.)
It’s called PKC MARK, and I built it to visualize performance metrics in a simple web interface.
🚀... | 2025-11-07T06:41:49 | https://www.reddit.com/gallery/1oqnc62 | According_Wait_7336 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1oqnc62 | false | null | t3_1oqnc62 | /r/LocalLLaMA/comments/1oqnc62/built_a_local_ai_benchmark_tool_just_something_i/ | false | false | 1 | null | |
AI scientists week | 4 | 3 new very cool systems this week in AI for science
One called Denario fully open source: [https://github.com/AstroPilot-AI/Denario](https://github.com/AstroPilot-AI/Denario)
Other is Kosmos from futurehouse: [https://arxiv.org/abs/2511.02824](https://arxiv.org/abs/2511.02824)
and earlier today alphaevolve's new pa... | 2025-11-07T06:31:34 | https://www.reddit.com/r/LocalLLaMA/comments/1oqn62k/ai_scientists_week/ | Emergency_Brief_9141 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqn62k | false | null | t3_1oqn62k | /r/LocalLLaMA/comments/1oqn62k/ai_scientists_week/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': '590WTFf9OZI31Y7DFrphh32s8WegQ0MmRwVR1wy1d30', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/590WTFf9OZI31Y7DFrphh32s8WegQ0MmRwVR1wy1d30.png?width=108&crop=smart&auto=webp&s=77bc02cb808f68ded9bdc35c25ee2729eddd5f21', 'width': 108}, {'height': 108, 'url': 'h... |
Which VLM finetuning library is the best and ready to use? | 1 | Hello everyone!
I would like to know which VLM finetuning library is easy to use.
VLMs in consideration:
1. rednote-hilab/dots.ocr
2. PaddlePaddle/PaddleOCR-VL
3. lightonai/LightOnOCR-1B-1025
| 2025-11-07T06:17:31 | https://www.reddit.com/r/LocalLLaMA/comments/1oqmxs1/which_vlm_finetuning_library_is_the_best_and/ | Acceptable_Young_167 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqmxs1 | false | null | t3_1oqmxs1 | /r/LocalLLaMA/comments/1oqmxs1/which_vlm_finetuning_library_is_the_best_and/ | false | false | self | 1 | null |
Framework Ryzen AI 32gb | 2 | I’m thinking of getting the framework Ryzen AI 32gb motherboard.
I will be running ollama server, using docker to run home assistant, pihole, frigate and ollama for local ai.
I only plan to use ai for tool calls and basic questions. That’s it.
This will be running 24/7
I don’t want to run a cloud llm model.
Wha... | 2025-11-07T05:55:46 | https://www.reddit.com/r/LocalLLaMA/comments/1oqmjxf/framework_ryzen_ai_32gb/ | Cute-Rip-5739 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqmjxf | false | null | t3_1oqmjxf | /r/LocalLLaMA/comments/1oqmjxf/framework_ryzen_ai_32gb/ | false | false | self | 2 | null |
Co-authored a book called "Build DeepSeek from Scratch" | Live Now | 134 | Book link: [https://hubs.la/Q03Rl\_lh0](https://hubs.la/Q03Rl_lh0)
Github repository: [https://github.com/VizuaraAI/DeepSeek-From-Scratch](https://github.com/VizuaraAI/DeepSeek-From-Scratch)
Published by Manning Publications.
| 2025-11-07T05:45:39 | OtherRaisin3426 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oqmder | false | null | t3_1oqmder | /r/LocalLLaMA/comments/1oqmder/coauthored_a_book_called_build_deepseek_from/ | false | false | default | 134 | {'enabled': True, 'images': [{'id': '1felu4y3wrzf1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/1felu4y3wrzf1.jpeg?width=108&crop=smart&auto=webp&s=e1f6fcd16089fd14359191c9e651059c1ad475f5', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/1felu4y3wrzf1.jpeg?width=216&crop=smart&auto=... | |
Hi everyone! | 6 | 2025-11-07T05:44:27 | https://www.reddit.com/r/LocalLLaMA/comments/1oqmcmt/hi_everyone/ | According_Wait_7336 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqmcmt | false | null | t3_1oqmcmt | /r/LocalLLaMA/comments/1oqmcmt/hi_everyone/ | false | false | 6 | null | ||
Best way to run Whisper through Vulkan? | 6 | I have an AMD GPU and want to do some audio/video transcription locally. I've been using [const-me's](https://github.com/Const-me/Whisper) GUI, but it's currently abandonware and only really works for the ggml-medium model and nothing else.
I'd like to use something with more accuracy like the ggml-large model (I do h... | 2025-11-07T05:38:00 | https://www.reddit.com/r/LocalLLaMA/comments/1oqm8jh/best_way_to_run_whisper_through_vulkan/ | AIgoonermaxxing | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqm8jh | false | null | t3_1oqm8jh | /r/LocalLLaMA/comments/1oqm8jh/best_way_to_run_whisper_through_vulkan/ | false | false | self | 6 | {'enabled': False, 'images': [{'id': 'lotoZHF7SaTrLu2PJE59YOkpuV9hD4btEn-nZSJ_PmU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/lotoZHF7SaTrLu2PJE59YOkpuV9hD4btEn-nZSJ_PmU.png?width=108&crop=smart&auto=webp&s=d491975990adeb9aad11bf99258e76e85b00d182', 'width': 108}, {'height': 108, 'url': 'h... |
Looking into a homeserver capable of 70b parameters | 5 | I'm hoping to create a home server for \~$1000 to run inference models on. I'd like to avoid heavily quantized models if possible. So far, I've found the Intel A770 to be the best priced option for the GPU and those would run \~$600-700 for three. I know the minimum recommended for the 70b Llama models is 48GB VRam so ... | 2025-11-07T05:24:00 | https://www.reddit.com/r/LocalLLaMA/comments/1oqlzrd/looking_into_a_homeserver_capable_of_70b/ | nstein5 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqlzrd | false | null | t3_1oqlzrd | /r/LocalLLaMA/comments/1oqlzrd/looking_into_a_homeserver_capable_of_70b/ | false | false | self | 5 | null |
Where to train a model on the cloud? | 1 | [removed] | 2025-11-07T04:51:24 | https://www.reddit.com/r/LocalLLaMA/comments/1oqle4d/where_to_train_a_model_on_the_cloud/ | Ok_Construction_3021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqle4d | false | null | t3_1oqle4d | /r/LocalLLaMA/comments/1oqle4d/where_to_train_a_model_on_the_cloud/ | false | false | self | 1 | null |
🚀 Introducing SGLang-Jax — Open-source JAX/TPU engine for LLM inference | 5 | Hi everyone,
We’re building SGLang-Jax — an open-source project that brings SGLang’s high-performance LLM serving to Google TPU via JAX/XLA.
✨ Highlights:
• Fast LLM inference on TPU (batching, caching, LoRA, etc.)
• Pure JAX + XLA implementation (no PyTorch dependency)
• Lower cost vs GPU deployment
• Still ... | 2025-11-07T04:36:30 | https://www.reddit.com/r/LocalLLaMA/comments/1oql49w/introducing_sglangjax_opensource_jaxtpu_engine/ | RamezesDong666 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oql49w | false | null | t3_1oql49w | /r/LocalLLaMA/comments/1oql49w/introducing_sglangjax_opensource_jaxtpu_engine/ | false | false | self | 5 | null |
Is there a way to create a chatbot integrated into my website using a local LLM? | 2 | Hi! I am a complete novice to the space. I am currently using a commercial software to train an AI chatbot on select files and serve as a chatbot to answer customer questions. For the sake of privacy and not be limited by inquiry caps, I want to run my own model.
My questions is, can I run a local LLM and then have a... | 2025-11-07T04:34:35 | https://www.reddit.com/r/LocalLLaMA/comments/1oql2z8/is_there_a_way_to_create_a_chatbot_integrated/ | FailingupwardsPHD | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oql2z8 | false | null | t3_1oql2z8 | /r/LocalLLaMA/comments/1oql2z8/is_there_a_way_to_create_a_chatbot_integrated/ | false | false | self | 2 | null |
🚀 Introducing SGLang-Jax — Open-source JAX/TPU engine for LLM inference (help wanted!) | 1 | [removed] | 2025-11-07T04:33:58 | https://www.reddit.com/r/LocalLLaMA/comments/1oql2ks/introducing_sglangjax_opensource_jaxtpu_engine/ | RamezesDong666 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oql2ks | false | null | t3_1oql2ks | /r/LocalLLaMA/comments/1oql2ks/introducing_sglangjax_opensource_jaxtpu_engine/ | false | false | self | 1 | null |
We’re Entering the Era of Autonomous SaaS 24/7 Agents, Infinite Scale. | 0 | Honestly, I think people are missing the point AI agents won’t shrink enterprise software, they’ll expand it.
Once SaaS tools start pairing AI agents with their existing workflows, the ceiling disappears.
You’re not limited by how many humans can use a product anymore agents can run 24/7, pushing usage and value way b... | 2025-11-07T04:27:26 | Ok-Breakfast-4676 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oqky3z | false | null | t3_1oqky3z | /r/LocalLLaMA/comments/1oqky3z/were_entering_the_era_of_autonomous_saas_247/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'y5u82rrlirzf1', 'resolutions': [{'height': 63, 'url': 'https://preview.redd.it/y5u82rrlirzf1.jpeg?width=108&crop=smart&auto=webp&s=b641052567693a1f7d0757cd235ed98b713079b7', 'width': 108}, {'height': 126, 'url': 'https://preview.redd.it/y5u82rrlirzf1.jpeg?width=216&crop=smart&auto=w... | |
kat-coder, as in KAT-Coder-Pro V1 is trash and is scamming clueless people at an exorbitant $0.98/$3.8 per million tokens | 14 | I want to thank Novita for making this model free for some time but this model is not worth using even as a free model. kwai should absolutely be crucified for the prices they were trying to charge for this model, or will be trying to charge if they dont change their prices.
https://preview.redd.it/jhmzz5o6erzf1.png?... | 2025-11-07T04:11:06 | https://www.reddit.com/r/LocalLLaMA/comments/1oqkmt6/katcoder_as_in_katcoderpro_v1_is_trash_and_is/ | lemon07r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqkmt6 | false | null | t3_1oqkmt6 | /r/LocalLLaMA/comments/1oqkmt6/katcoder_as_in_katcoderpro_v1_is_trash_and_is/ | false | false | 14 | null | |
128GB RAM costs ~$1000 & Strix Halo costs $1600 in total | 33 | We all know RAM has gone up quite a bit, like: [https://pcpartpicker.com/product/WTMMnQ/corsair-vengeance-rgb-64-gb-2-x-32-gb-ddr5-6000-cl30-memory-cmh64gx5m2b6000c30](https://pcpartpicker.com/product/WTMMnQ/corsair-vengeance-rgb-64-gb-2-x-32-gb-ddr5-6000-cl30-memory-cmh64gx5m2b6000c30)
How is it possible that Strix H... | 2025-11-07T04:04:41 | https://www.reddit.com/r/LocalLLaMA/comments/1oqki9e/128gb_ram_costs_1000_strix_halo_costs_1600_in/ | johnnytshi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqki9e | false | null | t3_1oqki9e | /r/LocalLLaMA/comments/1oqki9e/128gb_ram_costs_1000_strix_halo_costs_1600_in/ | false | false | self | 33 | null |
Polaris Alpha Review | 2 | Polaris Alpha, a stealth AI model launched on OpenRouter on November 6, 2025, is generating significant excitement in AI communities for its capabilities in coding, tool calling, and instruction adherence. As a cloaked model from an undisclosed provider, it features a 256,000 token context window, free access ($0 per m... | 2025-11-07T03:28:36 | https://www.reddit.com/r/LocalLLaMA/comments/1oqjsif/polaris_alpha_review/ | learningtolivee101 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqjsif | false | null | t3_1oqjsif | /r/LocalLLaMA/comments/1oqjsif/polaris_alpha_review/ | false | false | 2 | null | |
Polaris Alpha Review | 1 | [removed] | 2025-11-07T03:20:16 | https://www.reddit.com/r/LocalLLaMA/comments/1oqjmk7/polaris_alpha_review/ | mlrunlisted1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqjmk7 | false | null | t3_1oqjmk7 | /r/LocalLLaMA/comments/1oqjmk7/polaris_alpha_review/ | false | false | 1 | null | |
30 days to become AI engineer | 245 | I’m moving from 12 years in cybersecurity (big tech) into a Staff AI Engineer role.
I have 30 days (\~16h/day) to get production-ready, prioritizing context engineering, RAG, and reliable agents.
I need a focused path: the few resources, habits, and pitfalls that matter most.
If you’ve done this or ship real LLM ... | 2025-11-07T03:12:00 | https://www.reddit.com/r/LocalLLaMA/comments/1oqjgnh/30_days_to_become_ai_engineer/ | CayleneKole | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqjgnh | false | null | t3_1oqjgnh | /r/LocalLLaMA/comments/1oqjgnh/30_days_to_become_ai_engineer/ | false | false | self | 245 | null |
Open AI testing new model, properly wanting to give more open source | 5 | 2025-11-07T02:26:54 | https://www.reddit.com/r/LocalLLaMA/comments/1oqiint/open_ai_testing_new_model_properly_wanting_to/ | Vozer_bros | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqiint | false | null | t3_1oqiint | /r/LocalLLaMA/comments/1oqiint/open_ai_testing_new_model_properly_wanting_to/ | false | false | 5 | null | ||
Kimi 2 is the #1 creative writing AI right now. better than sonnet 4.5 | 465 | Just tried Kimi 2 and I'm genuinely impressed. It's the best creative writer AI I've used—better than Sonnet 4.5, better than anything else out there. And it's dirt cheap compared to Sonnet.
I never thought a cheap, open model would beat Anthropic at writing. don't do coding as much, but its understanding is so strong... | 2025-11-07T02:20:29 | https://www.reddit.com/r/LocalLLaMA/comments/1oqiduq/kimi_2_is_the_1_creative_writing_ai_right_now/ | Excellent-Run7265 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqiduq | false | null | t3_1oqiduq | /r/LocalLLaMA/comments/1oqiduq/kimi_2_is_the_1_creative_writing_ai_right_now/ | false | false | self | 465 | null |
My Hands-On Review of Kimi K2 Thinking: The Open-Source AI That's Changing the Game | 12 | # Overview
As someone who's tested numerous AI models, Kimi K2 Thinking stands out for its balance of power and efficiency. Released by Moonshot AI on November 6, 2025, it's designed as a "thinking agent" with a 1 trillion-parameter MoE architecture, activating 32 billion parameters per inference. This allows it to ru... | 2025-11-07T02:08:35 | https://www.reddit.com/r/LocalLLaMA/comments/1oqi4qp/my_handson_review_of_kimi_k2_thinking_the/ | Radiant-Act4707 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqi4qp | false | null | t3_1oqi4qp | /r/LocalLLaMA/comments/1oqi4qp/my_handson_review_of_kimi_k2_thinking_the/ | false | false | 12 | null | |
Creating longer videos | 0 | Hello im curious what you guys think is the best platform to create 15 minute videos with on history topics?
Im aware i will need to stitch together shorter clips.
LTX seems promising but im curious how fast i would use up the 11000 credits in the pro plan. | 2025-11-07T01:53:12 | https://www.reddit.com/r/LocalLLaMA/comments/1oqhsqs/creating_longer_videos/ | Fluid_Egg_4343 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqhsqs | false | null | t3_1oqhsqs | /r/LocalLLaMA/comments/1oqhsqs/creating_longer_videos/ | false | false | self | 0 | null |
Best sub-3b local model for a Python code-fix agent on M2 Pro 16 GB? Considering Qwen3-0.6B | 1 | Hi everyone! I want to build a tiny local agent as a proof of concept. The goal is simple: build the pipeline and run quick tests for an agent that fixes Python code. I am not chasing SOTA, just something that works reliably at very small size.
My machine:
* MacBook Pro 16-inch, 2023
* Apple M2 Pro
* 16 GB unified me... | 2025-11-07T01:48:16 | https://www.reddit.com/r/LocalLLaMA/comments/1oqhp2g/best_sub3b_local_model_for_a_python_codefix_agent/ | podolskyd | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqhp2g | false | null | t3_1oqhp2g | /r/LocalLLaMA/comments/1oqhp2g/best_sub3b_local_model_for_a_python_codefix_agent/ | false | false | self | 1 | null |
New Kimi K2 Thinking are Pretty Disappointing. Much worse than Kimi 0905 | 0 | 2025-11-07T01:44:29 | balianone | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oqhm5s | false | null | t3_1oqhm5s | /r/LocalLLaMA/comments/1oqhm5s/new_kimi_k2_thinking_are_pretty_disappointing/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'FV_yQ0U1QQjXcCLWd-rmkYflvP6cNRNWGjp3owxCtF4', 'resolutions': [{'height': 126, 'url': 'https://preview.redd.it/kb1wuj4bpqzf1.png?width=108&crop=smart&auto=webp&s=30f1932ecf6e0c4b6659c0ab0376e6313b1aff37', 'width': 108}, {'height': 253, 'url': 'https://preview.redd.it/kb1wuj4bpqzf1.pn... | |||
RzenEmbed-v2-7B (multimodal embedding) | 10 | 2025-11-07T00:56:21 | https://huggingface.co/qihoo360/RzenEmbed | the__storm | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1oqgk4c | false | null | t3_1oqgk4c | /r/LocalLLaMA/comments/1oqgk4c/rzenembedv27b_multimodal_embedding/ | false | false | default | 10 | {'enabled': False, 'images': [{'id': 'zjYj496B25Dh4S-OXammKuVuVC52psHmoaE_lB7iL4E', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/zjYj496B25Dh4S-OXammKuVuVC52psHmoaE_lB7iL4E.png?width=108&crop=smart&auto=webp&s=374a20b3cd57199765f012452aadad2563d981f2', 'width': 108}, {'height': 116, 'url': 'h... | |
I built a copilot for Linear app | 0 | I use Linear (the project management app) almost every day at my company and absolutely love it. Lately I’ve been hacking around with different MCPs to see what I can build, so I tried the same with the Linear MCP.
Over the weekend, I connected Linear’s MCP to the C1 Generative UI API and built a small interactive cop... | 2025-11-07T00:21:20 | https://www.reddit.com/r/LocalLLaMA/comments/1oqfrte/i_built_a_copilot_for_linear_app/ | AviusAnima | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqfrte | false | null | t3_1oqfrte | /r/LocalLLaMA/comments/1oqfrte/i_built_a_copilot_for_linear_app/ | false | false | self | 0 | null |
Continuous Autoregressive Language Models | 1 | [removed] | 2025-11-06T23:45:19 | https://arxiv.org/abs/2510.27688 | Thrumpwart | arxiv.org | 1970-01-01T00:00:00 | 0 | {} | 1oqex7h | false | null | t3_1oqex7h | /r/LocalLLaMA/comments/1oqex7h/continuous_autoregressive_language_models/ | false | false | default | 1 | null |
SGLang is integrating ktransformers for hybrid CPU/GPU inference | 26 | This is rather a really exciting news (if you have 2TB of RAM ...)! I know 2TB is huge, but it's still "more manageable" than VRAM (also technically you only need 1TB I think).
Based on this [PR (WIP)](https://github.com/sgl-project/sglang/issues/11425), it seems it's possible to run the **latest Kimi K2 Thinking**... | 2025-11-06T23:43:49 | https://www.reddit.com/r/LocalLLaMA/comments/1oqevxz/sglang_is_integrating_ktransformers_for_hybrid/ | waiting_for_zban | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqevxz | false | null | t3_1oqevxz | /r/LocalLLaMA/comments/1oqevxz/sglang_is_integrating_ktransformers_for_hybrid/ | false | false | self | 26 | {'enabled': False, 'images': [{'id': 'PONLA4FKqakn5cHnrIhITjxDyBwNVk3WF7VQI0nh1EY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/PONLA4FKqakn5cHnrIhITjxDyBwNVk3WF7VQI0nh1EY.png?width=108&crop=smart&auto=webp&s=6d4155943a756c20485fda174b5b9512fa3f643d', 'width': 108}, {'height': 108, 'url': 'h... |
Context Engineering | 1 | [removed] | 2025-11-06T23:32:44 | https://www.reddit.com/r/LocalLLaMA/comments/1oqemgb/context_engineering/ | WorkRelatedEmails | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqemgb | false | null | t3_1oqemgb | /r/LocalLLaMA/comments/1oqemgb/context_engineering/ | false | false | self | 1 | null |
What's your definition of Context Engineering? | 1 | [removed] | 2025-11-06T23:27:46 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1oqeiac | false | null | t3_1oqeiac | /r/LocalLLaMA/comments/1oqeiac/whats_your_definition_of_context_engineering/ | false | false | default | 1 | null | ||
Zero-Configuration AI | 1 | [removed] | 2025-11-06T23:26:52 | https://www.reddit.com/r/LocalLLaMA/comments/1oqehix/zeroconfiguration_ai/ | NorthComplaint7631 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqehix | false | null | t3_1oqehix | /r/LocalLLaMA/comments/1oqehix/zeroconfiguration_ai/ | false | false | 1 | null | |
World's strongest agentic model is now open source | 1,427 | 2025-11-06T23:20:15 | Charuru | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oqebr3 | false | null | t3_1oqebr3 | /r/LocalLLaMA/comments/1oqebr3/worlds_strongest_agentic_model_is_now_open_source/ | false | false | default | 1,427 | {'enabled': True, 'images': [{'id': 'jd607rvrzpzf1', 'resolutions': [{'height': 46, 'url': 'https://preview.redd.it/jd607rvrzpzf1.jpeg?width=108&crop=smart&auto=webp&s=84df62efa7b1d413024c0f6646bc06a71b4098d6', 'width': 108}, {'height': 92, 'url': 'https://preview.redd.it/jd607rvrzpzf1.jpeg?width=216&crop=smart&auto=we... | ||
1 second voice-to-voice latency with all open models & frameworks | 23 | Voice-to-voice latency needs to be under a certain threshold for conversational agents to sound natural. A general target is 1s or less. The Modal team wanted to see how fast we could get a STT > LLM > TTS pipeline working with self-deployed, open models only: [https://modal.com/blog/low-latency-voice-bot](https://moda... | 2025-11-06T23:16:45 | https://www.reddit.com/r/LocalLLaMA/comments/1oqe8o2/1_second_voicetovoice_latency_with_all_open/ | crookedstairs | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqe8o2 | false | null | t3_1oqe8o2 | /r/LocalLLaMA/comments/1oqe8o2/1_second_voicetovoice_latency_with_all_open/ | false | false | self | 23 | {'enabled': False, 'images': [{'id': '3_CcnOSSBz2tx7_7L-6YC4ZbKobLx1nwmOcdChYlIBs', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/3_CcnOSSBz2tx7_7L-6YC4ZbKobLx1nwmOcdChYlIBs.png?width=108&crop=smart&auto=webp&s=764609e711ea77618f489cb0f28e88bf5964722f', 'width': 108}, {'height': 113, 'url': 'h... |
No negative impact using Oculink eGPU: A quick test. | 11 | Hi, I have seen mixed information about the impact of using oculink for our local LLM projects. Well, just today I connected an RTX 3090 through oculink to my RTX A6000 SFF PC and I have some llama.cpp benchmarks using gemma3 27B Q8:
|model|size|params|test|t/s|gpu\_config|devices|build|
|:-|:-|:-|:-|:-|:-|:-|:-|
|ge... | 2025-11-06T23:08:48 | https://www.reddit.com/r/LocalLLaMA/comments/1oqe1kq/no_negative_impact_using_oculink_egpu_a_quick_test/ | MexInAbu | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqe1kq | false | null | t3_1oqe1kq | /r/LocalLLaMA/comments/1oqe1kq/no_negative_impact_using_oculink_egpu_a_quick_test/ | false | false | self | 11 | null |
Now gemini-3-pro-preview-11-2025 works on Gemini CLI | 5 | tweet: [https://x.com/sigridjin\_eth/status/1986564626449113126](https://x.com/sigridjin_eth/status/1986564626449113126) | 2025-11-06T22:47:49 | https://www.reddit.com/gallery/1oqdj85 | Ok_Rub1689 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1oqdj85 | false | null | t3_1oqdj85 | /r/LocalLLaMA/comments/1oqdj85/now_gemini3propreview112025_works_on_gemini_cli/ | false | false | 5 | null | |
Is there a way to run 2x 6000 pro blackwells without going Epyc/Threadripper? | 2 | I know the proper way is to go the Epyc/Threadripper route but those are very expensive and I'd rather wait for the Epyc Venice release next year anyway before dropping that kind of cash.
I'm currently running a single 6000 pro blackwell on regular MSI X870 with 256gb ram and AMD 9950x CPU, but because of the design ... | 2025-11-06T22:44:14 | https://www.reddit.com/r/LocalLLaMA/comments/1oqdg2w/is_there_a_way_to_run_2x_6000_pro_blackwells/ | jbak31 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqdg2w | false | null | t3_1oqdg2w | /r/LocalLLaMA/comments/1oqdg2w/is_there_a_way_to_run_2x_6000_pro_blackwells/ | false | false | self | 2 | null |
Community-driven robot simulations are finally here (EnvHub in LeRobot) | 5 | Hey everyone! I’m Jade from the LeRobot team at Hugging Face, we just launched EnvHub!
It lets you upload simulation environments to the Hugging Face Hub and load them directly in LeRobot with one line of code.
We genuinely believe that solving robotics will come through *collaborative work* and that starts with **yo... | 2025-11-06T22:36:37 | https://www.reddit.com/r/LocalLLaMA/comments/1oqd9g1/communitydriven_robot_simulations_are_finally/ | Soft-Worth-4872 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqd9g1 | false | null | t3_1oqd9g1 | /r/LocalLLaMA/comments/1oqd9g1/communitydriven_robot_simulations_are_finally/ | false | false | self | 5 | null |
My custom browser just leveled up 🍄 | 0 | Previously, I shared my custom browser that can solve text captchas. Today, I've enhanced it to also solve image grid or object captchas using a built-in local vision model. I tested it with 2-3 different captcha providers, and the accuracy is approximately 68% with the 2 billion model. Please note that this is for res... | 2025-11-06T22:22:35 | https://v.redd.it/nsgduz6jopzf1 | ahstanin | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oqcx0v | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/nsgduz6jopzf1/DASHPlaylist.mpd?a=1765059769%2CZDYxYTE2ZDQ3MzMzYTgxYWE1YzdjNjE2NzJkOTQ4MTM0N2M4OGJlOWJlZWEzMThhYzM0ZGFhZDQ1ZTczMDI4OA%3D%3D&v=1&f=sd', 'duration': 20, 'fallback_url': 'https://v.redd.it/nsgduz6jopzf1/CMAF_1080.mp4?source=fallback', 'h... | t3_1oqcx0v | /r/LocalLLaMA/comments/1oqcx0v/my_custom_browser_just_leveled_up/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'bTJ0dm56NmpvcHpmMdNxnrzMjLr17_JtbU8OmCEgIoG0KPgtKAaiVeQ-d0Gp', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/bTJ0dm56NmpvcHpmMdNxnrzMjLr17_JtbU8OmCEgIoG0KPgtKAaiVeQ-d0Gp.png?width=108&crop=smart&format=pjpg&auto=webp&s=c0a54e1402de1a090c52b4bc83d317b0e852c... | |
Intel Arc Pro B60 Benchmarks + Review | 6 | 2025-11-06T22:06:08 | https://www.igorslab.de/intel-arc-pro-b60-im-workstation-test-mit-technikanalyse-und-teardown-kampf-der-kleinen-arbeitstiere-unter-1000-euro/ | reps_up | igorslab.de | 1970-01-01T00:00:00 | 0 | {} | 1oqci89 | false | null | t3_1oqci89 | /r/LocalLLaMA/comments/1oqci89/intel_arc_pro_b60_benchmarks_review/ | false | false | 6 | {'enabled': False, 'images': [{'id': 'QBNwRhZrHVBWUAv8NtmSOCezIxNUpbf6gsv9rxnhZk8', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/QBNwRhZrHVBWUAv8NtmSOCezIxNUpbf6gsv9rxnhZk8.jpeg?width=108&crop=smart&auto=webp&s=ee0b897a039f0905a2c840c5ca4d71e7029d9e49', 'width': 108}, {'height': 162, 'url': '... | ||
Just want to take a moment to express gratitude for this tech | 103 | What a time to be alive!
I was just randomly reflecting today - a single file with just a bunch of numbers can be used to make poems, apps, reports and so much more. And that's just LLMs.. But then this applies to image, video, speech, music, audio, 3D models and whatever else that can be expressed digitally
Anyone ... | 2025-11-06T22:00:28 | https://www.reddit.com/r/LocalLLaMA/comments/1oqcd1y/just_want_to_take_a_moment_to_express_gratitude/ | rm-rf-rm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqcd1y | false | null | t3_1oqcd1y | /r/LocalLLaMA/comments/1oqcd1y/just_want_to_take_a_moment_to_express_gratitude/ | false | false | self | 103 | null |
6 AI Agent Guides from Google, Anthropic, Microsoft, etc. Released This Week | 1 | [removed] | 2025-11-06T21:50:15 | https://www.reddit.com/r/LocalLLaMA/comments/1oqc3iv/6_ai_agent_guides_from_google_anthropic_microsoft/ | sarthakai | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqc3iv | false | null | t3_1oqc3iv | /r/LocalLLaMA/comments/1oqc3iv/6_ai_agent_guides_from_google_anthropic_microsoft/ | false | false | self | 1 | null |
Here's a workaround for broken GPT-OSS-20b/120b structured outputs. | 3 | Made a simple endpoint mirror that makes structured outputs work in LM Studio (or llama.cpp) for GPT-OSS GGUFs:
https://github.com/shihanqu/GPT-OSS-Structure-Repair-Mirror/tree/main
It improves the JSON Compliance for GPT-OSS from about 0% to 90%, according to the default test in the [Structured JSON Tester](https://ww... | 2025-11-06T21:46:36 | https://www.reddit.com/r/LocalLLaMA/comments/1oqc07y/heres_a_workaround_for_broken_gptoss20b120b/ | zenmagnets | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqc07y | false | null | t3_1oqc07y | /r/LocalLLaMA/comments/1oqc07y/heres_a_workaround_for_broken_gptoss20b120b/ | false | false | self | 3 | null |
Epoch: LLMs that generate interactive UI instead of text walls | 40 | So generally LLMs generate text or sometimes charts (via tool calling) but I gave it the ability to generate UI
So instead of LLMs outputting markdown, I built **Epoch** where the LLM generates actual interactive components.
# How it works
The LLM outputs a **structured component tree**:
Component = {
typ... | 2025-11-06T21:46:26 | ItzCrazyKns | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oqc01w | false | null | t3_1oqc01w | /r/LocalLLaMA/comments/1oqc01w/epoch_llms_that_generate_interactive_ui_instead/ | false | false | default | 40 | {'enabled': True, 'images': [{'id': 'elog79cngpzf1', 'resolutions': [{'height': 72, 'url': 'https://preview.redd.it/elog79cngpzf1.png?width=108&crop=smart&auto=webp&s=2aef2ee458a2a9bcc7b03ef68f1687dbbc725b5f', 'width': 108}, {'height': 144, 'url': 'https://preview.redd.it/elog79cngpzf1.png?width=216&crop=smart&auto=web... | |
Anyone running MiniMax M2 AWQ on 2x6000 Pro's with sglang? | 3 | I am trying to fit MiniMax M2 AWG on Dual 6000 Pro using sglang.
Anyone have a working config? | 2025-11-06T20:30:38 | https://www.reddit.com/r/LocalLLaMA/comments/1oqa0rl/anyone_running_minimax_m2_awq_on_2x6000_pros_with/ | MidnightProgrammer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oqa0rl | false | null | t3_1oqa0rl | /r/LocalLLaMA/comments/1oqa0rl/anyone_running_minimax_m2_awq_on_2x6000_pros_with/ | false | false | self | 3 | null |
Bombshell report exposes how Meta relied on scam ad profits to fund AI | 49 | 2025-11-06T20:24:52 | https://arstechnica.com/tech-policy/2025/11/bombshell-report-exposes-how-meta-relied-on-scam-ad-profits-to-fund-ai/ | srwaxalot | arstechnica.com | 1970-01-01T00:00:00 | 0 | {} | 1oq9vg6 | false | null | t3_1oq9vg6 | /r/LocalLLaMA/comments/1oq9vg6/bombshell_report_exposes_how_meta_relied_on_scam/ | false | false | default | 49 | {'enabled': False, 'images': [{'id': '6_FxJznQ24YNhZIspAvn3ERygtZKSAS_E8jP1rIyqCc', 'resolutions': [{'height': 68, 'url': 'https://external-preview.redd.it/6_FxJznQ24YNhZIspAvn3ERygtZKSAS_E8jP1rIyqCc.jpeg?width=108&crop=smart&auto=webp&s=1ec3a344a4ca445bbce44923f524464f2c1b7ec1', 'width': 108}, {'height': 136, 'url': '... | |
Microsoft’s AI Scientist | 165 | Microsoft literally just dropped the first AI scientist | 2025-11-06T20:23:52 | Ok-Breakfast-4676 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oq9ui3 | false | null | t3_1oq9ui3 | /r/LocalLLaMA/comments/1oq9ui3/microsofts_ai_scientist/ | false | false | default | 165 | {'enabled': True, 'images': [{'id': 'jbv9rmub4pzf1', 'resolutions': [{'height': 64, 'url': 'https://preview.redd.it/jbv9rmub4pzf1.jpeg?width=108&crop=smart&auto=webp&s=cb69747f52bd0077a4f646ea1d855ac70340d9fd', 'width': 108}, {'height': 129, 'url': 'https://preview.redd.it/jbv9rmub4pzf1.jpeg?width=216&crop=smart&auto=w... | |
Polaris Alpha | 22 | This is a cloaked model provided to the community to gather feedback. A powerful, general-purpose model that excels across real-world tasks, with standout performance in coding, tool calling, and instruction following.
https://openrouter.ai/openrouter/polaris-alpha | 2025-11-06T20:03:31 | https://www.reddit.com/r/LocalLLaMA/comments/1oq9b94/polaris_alpha/ | policyweb | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq9b94 | false | null | t3_1oq9b94 | /r/LocalLLaMA/comments/1oq9b94/polaris_alpha/ | false | false | self | 22 | {'enabled': False, 'images': [{'id': 'F_9MM-rF2vdBXxQ1y06hQopypniBGpYdwwzD0ZOnzlg', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/F_9MM-rF2vdBXxQ1y06hQopypniBGpYdwwzD0ZOnzlg.png?width=108&crop=smart&auto=webp&s=32a58979b0a9d8b4c5df5fae1dccedf83b8b8f17', 'width': 108}, {'height': 113, 'url': 'h... |
Nvidia's Jensen Huang: 'China is going to win the AI race,' FT reports | 204 | 2025-11-06T20:03:28 | https://www.reuters.com/world/asia-pacific/nvidias-jensen-huang-says-china-will-win-ai-race-with-us-ft-reports-2025-11-05/ | fallingdowndizzyvr | reuters.com | 1970-01-01T00:00:00 | 0 | {} | 1oq9b7e | false | null | t3_1oq9b7e | /r/LocalLLaMA/comments/1oq9b7e/nvidias_jensen_huang_china_is_going_to_win_the_ai/ | false | false | default | 204 | {'enabled': False, 'images': [{'id': 'B5kYZqF-LXs8_vBUF8bfaXMktkNYepX59paDPfYv7go', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/B5kYZqF-LXs8_vBUF8bfaXMktkNYepX59paDPfYv7go.jpeg?width=108&crop=smart&auto=webp&s=ef1810846bc81d4a1a1d09aa6bbd2cc287a964df', 'width': 108}, {'height': 113, 'url': '... | |
Nvidia's Jensen Huang: 'China is going to win the AI race,' FT reports | 1 | [deleted] | 2025-11-06T20:02:28 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1oq9a8m | false | null | t3_1oq9a8m | /r/LocalLLaMA/comments/1oq9a8m/nvidiaampx27s_jensen_huang_ampx27china_is_going/ | false | false | default | 1 | null | ||
Anyone know the schema for Llama fine-tuning with tool calling on Vertex AI? | 1 | Hey everyone ,
I’m trying to fine-tune a Llama model on Vertex AI with my own dataset, and I’d like to enable tool calling (a.k.a. function calling) so the fine-tuned model can call structured tools.
However, I can’t find any schema or data format in the docs that shows how to format training examples for tool-augmen... | 2025-11-06T20:02:04 | https://www.reddit.com/r/LocalLLaMA/comments/1oq99ur/anyone_know_the_schema_for_llama_finetuning_with/ | Ok_Patience_8641 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq99ur | false | null | t3_1oq99ur | /r/LocalLLaMA/comments/1oq99ur/anyone_know_the_schema_for_llama_finetuning_with/ | false | false | self | 1 | null |
Kimi K2 Thinking and DeepSeek R1 Architectures Side by Side | 143 | Kimi K2 is based on the DeepSeek V3/R1 architecture, and here's a side-by-side comparison.
\- 2× fewer attention heads (64 vs. 128)
\- \~1.5× more experts per MoE layer (384 vs. 256)
\- Bigger vocabulary (160k vs. 129k)
\- K2 activates \~32B parameters per token (vs. 37B in DeepSeek R1)
\- Fewer dense FFN ... | 2025-11-06T19:37:54 | https://www.reddit.com/r/LocalLLaMA/comments/1oq8mmy/kimi_k2_thinking_and_deepseek_r1_architectures/ | seraschka | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq8mmy | false | null | t3_1oq8mmy | /r/LocalLLaMA/comments/1oq8mmy/kimi_k2_thinking_and_deepseek_r1_architectures/ | false | false | self | 143 | null |
Rolled my own LLaMA interface to role play campaigns. | 14 | Repo Here if anyone is interested. [https://github.com/tarnvaal/PersistentDMf](https://github.com/tarnvaal/PersistentDM)
I thought maybe others would enjoy it. You can save/load world shards (large text corpus's that you pre-summarize into memory fragments) separately from your actual chat campaign so you can switch m... | 2025-11-06T19:32:30 | tarnkellstudios | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oq8hg4 | false | null | t3_1oq8hg4 | /r/LocalLLaMA/comments/1oq8hg4/rolled_my_own_llama_interface_to_role_play/ | false | false | default | 14 | {'enabled': True, 'images': [{'id': 'hkp1up33uozf1', 'resolutions': [{'height': 110, 'url': 'https://preview.redd.it/hkp1up33uozf1.jpeg?width=108&crop=smart&auto=webp&s=9e54ab1da25dd29182044fbdc5ca1dfc9ad691d4', 'width': 108}, {'height': 221, 'url': 'https://preview.redd.it/hkp1up33uozf1.jpeg?width=216&crop=smart&auto=... | |
Has anyone tried kimi k2 thinking locally yet? | 11 | How much ram it requires? Its nativly support int4 so it might be around 512gb | 2025-11-06T19:28:09 | https://www.reddit.com/r/LocalLLaMA/comments/1oq8dbo/has_anyone_tried_kimi_k2_thinking_locally_yet/ | Brave-Hold-9389 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq8dbo | false | null | t3_1oq8dbo | /r/LocalLLaMA/comments/1oq8dbo/has_anyone_tried_kimi_k2_thinking_locally_yet/ | false | false | self | 11 | null |
Coding Success Depends More on Language Than Math | 35 | The biggest factor in how good someone is at coding might surprise you. It is not math it is language.
A Nature study found that your ability with numbers explains only two percent of the difference in coding skill while language related brain activity explains seventy percent.
So maybe coding is less about numbers a... | 2025-11-06T19:04:03 | https://www.reddit.com/gallery/1oq7qav | Ok-Breakfast-4676 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1oq7qav | false | null | t3_1oq7qav | /r/LocalLLaMA/comments/1oq7qav/coding_success_depends_more_on_language_than_math/ | false | false | 35 | null | |
Coding Success Depends More on Language Than Math | 6 | The biggest factor in how good someone is at coding might surprise you. It is not math it is language.
A Nature study found that your ability with numbers explains only two percent of the difference in coding skill while language related brain activity explains seventy percent.
So maybe coding is less about numbers a... | 2025-11-06T19:03:36 | https://www.reddit.com/gallery/1oq7pwc | Ok-Breakfast-4676 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1oq7pwc | false | null | t3_1oq7pwc | /r/LocalLLaMA/comments/1oq7pwc/coding_success_depends_more_on_language_than_math/ | false | false | 6 | null | |
DGX sparks vs Mac Studio | 4 | So am I getting this right? Sparks capable of 3 token per second on llama 70b and a mac studio with almost same price capable of 16 token per second?
Is there any reason why one should even consider sparks?
| 2025-11-06T18:23:59 | https://www.reddit.com/gallery/1oq6nyv | Free_Expression2107 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1oq6nyv | false | null | t3_1oq6nyv | /r/LocalLLaMA/comments/1oq6nyv/dgx_sparks_vs_mac_studio/ | false | false | 4 | null | |
Another AI Winter Is Coming—But This One Will Be Different | 0 | 2025-11-06T18:20:57 | https://www.inc.com/dave-sokolin/another-ai-winter-is-coming-but-this-one-will-be-different/91254465 | ttkciar | inc.com | 1970-01-01T00:00:00 | 0 | {} | 1oq6kwk | false | null | t3_1oq6kwk | /r/LocalLLaMA/comments/1oq6kwk/another_ai_winter_is_comingbut_this_one_will_be/ | false | false | default | 0 | null | |
Alpha Arena Season 1 results | 2 | nof1.ai had this experiment called Alpha Arena Season 1.
As per their website, QWEN3 Max is the best AI model for stock trading as of now.
Deep seek chat is 2nd, Cloude is third. Open ai ChatGPT 5 is last!
Thoughts? | 2025-11-06T18:09:08 | https://www.reddit.com/r/LocalLLaMA/comments/1oq692s/alpha_arena_season_1_results/ | Any_Baby_3888 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq692s | false | null | t3_1oq692s | /r/LocalLLaMA/comments/1oq692s/alpha_arena_season_1_results/ | false | false | self | 2 | null |
New emerging ai | 0 | Hello I am making a ai platform where you can have chat with various llm for free and unlimited and even chat with premium model like gpt and Claude at low price and it also have a search feature so you can have realtime answer with citations and a spaces like option where user can add any type of files and urls and th... | 2025-11-06T18:08:04 | https://www.reddit.com/r/LocalLLaMA/comments/1oq6812/new_emerging_ai/ | TopFuture2709 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq6812 | false | null | t3_1oq6812 | /r/LocalLLaMA/comments/1oq6812/new_emerging_ai/ | false | false | self | 0 | null |
How does LLaMA compare to open-source alternatives like Falcon or MPT for academic research? | 3 | I’m exploring large language models for citation extraction and literature review. LLaMA seems competitive, but I’d love community insights on where it really shines vs. other open models. | 2025-11-06T18:03:59 | https://www.reddit.com/r/LocalLLaMA/comments/1oq6413/how_does_llama_compare_to_opensource_alternatives/ | imposterpro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq6413 | false | null | t3_1oq6413 | /r/LocalLLaMA/comments/1oq6413/how_does_llama_compare_to_opensource_alternatives/ | false | false | self | 3 | null |
Continuous Autoregressive Language Models | 15 | Holy shit this might be next big AI paradigm shift
Tencent + Tsinghua just released CALM (Continuous Autoregressive Language Models) and might kill “next token” system every LLM uses
Instead of predicting one token CALM predicts continuous vectors representing multiple tokens at once
It doesn’t think word by word it ... | 2025-11-06T18:02:34 | Ok-Breakfast-4676 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oq62mg | false | null | t3_1oq62mg | /r/LocalLLaMA/comments/1oq62mg/continuous_autoregressive_language_models/ | false | false | default | 15 | {'enabled': True, 'images': [{'id': 'b478slb4fozf1', 'resolutions': [{'height': 80, 'url': 'https://preview.redd.it/b478slb4fozf1.jpeg?width=108&crop=smart&auto=webp&s=e3a91c00d7406cd29168cfc530728632b6f4826c', 'width': 108}, {'height': 161, 'url': 'https://preview.redd.it/b478slb4fozf1.jpeg?width=216&crop=smart&auto=w... | |
Innovate Another AI Winter Is Coming—But This One Will Be Different | 1 | 2025-11-06T17:54:35 | https://www.inc.com/dave-sokolin/another-ai-winter-is-coming-but-this-one-will-be-different/91254465 | ttkciar | inc.com | 1970-01-01T00:00:00 | 0 | {} | 1oq5uq0 | false | null | t3_1oq5uq0 | /r/LocalLLaMA/comments/1oq5uq0/innovate_another_ai_winter_is_comingbut_this_one/ | false | false | default | 1 | null | |
Speculative Decoding is AWESOME with Llama.cpp! | 57 | I tried it earlier this year with LM Studio and was incredibly disappointed. The gains were marginal at best, and sometimes slowed down inference, and I quickly abandoned it.
Fast forward to this week, I decided to try out Speculative Decoding (SD) with Llama.cpp, and it's truly worth using. Models I tried, and rough ... | 2025-11-06T17:46:38 | https://www.reddit.com/r/LocalLLaMA/comments/1oq5msi/speculative_decoding_is_awesome_with_llamacpp/ | simracerman | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq5msi | false | null | t3_1oq5msi | /r/LocalLLaMA/comments/1oq5msi/speculative_decoding_is_awesome_with_llamacpp/ | false | false | self | 57 | null |
Bark TTS is insanely slow | 2 | Hi everyone, I wanted to use Bark TTS for an local agent project. The problem is that it is insanely slow. I just wanted to test it with the default code available in the Git repo, and it took 15 minutes to generate 2 simple phrases. Considering that I work with a 5080, and that some people can make it run in less than... | 2025-11-06T17:37:33 | https://www.reddit.com/r/LocalLLaMA/comments/1oq5duz/bark_tts_is_insanely_slow/ | yeahlloow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq5duz | false | null | t3_1oq5duz | /r/LocalLLaMA/comments/1oq5duz/bark_tts_is_insanely_slow/ | false | false | self | 2 | null |
MiniMax M2 on single RTX5090 | 4 | I was reading many posts and heard good advices, but I keep failing to load MiniMax M2 LLM on single RTX5090 and 128 GB RAM. Can someone explain me with example of command how to host localy this model no matter what way of hosting(vLLM, SGLang...)? | 2025-11-06T17:33:33 | https://www.reddit.com/r/LocalLLaMA/comments/1oq59yy/minimax_m2_on_single_rtx5090/ | Advanced_Skill_5051 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq59yy | false | null | t3_1oq59yy | /r/LocalLLaMA/comments/1oq59yy/minimax_m2_on_single_rtx5090/ | false | false | self | 4 | null |
Local AI with image input for low end devices? | 2 | I am running a m1 MacBook air 8gb model. Right now I have tried Gemma 3:4b and its image recognition and detection is really bad. I also tried installing Gemma3:12b but that took half an hour to process and output on my low end mac and that was without images. So i’m looking for something the size of Gemma 3:4b but muc... | 2025-11-06T16:59:06 | https://www.reddit.com/r/LocalLLaMA/comments/1oq4cly/local_ai_with_image_input_for_low_end_devices/ | gamerboixyz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq4cly | false | null | t3_1oq4cly | /r/LocalLLaMA/comments/1oq4cly/local_ai_with_image_input_for_low_end_devices/ | false | false | self | 2 | null |
Why are all models similar… | 2 | …when replying to ‘tell me a fun fact’?
It’s always an octopus has 3 hearts or the shortest 38 minute war in history.
This is true for models across different providers.
Are they all trained on the same data?
Is it hard to train a model from scratch on say 100 PDF textbooks on law so that when I ask ‘tell me a fun ... | 2025-11-06T16:50:52 | https://www.reddit.com/r/LocalLLaMA/comments/1oq44x2/why_are_all_models_similar/ | gmetothemoongodspeed | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq44x2 | false | null | t3_1oq44x2 | /r/LocalLLaMA/comments/1oq44x2/why_are_all_models_similar/ | false | false | self | 2 | null |
Lemonade's C++ port is available in beta today, let me know what you think | 122 | A couple weeks ago I asked on here if Lemonade should switch from Python and go native and got a strong "yes." So now I'm back with a C++ beta! If anyone here has time to try this out and give feedback that would be awesome.
As a refresher: Lemonade is a local LLM server-router, like a local OpenRouter. It helps you q... | 2025-11-06T16:31:00 | jfowers_amd | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oq3ls6 | false | null | t3_1oq3ls6 | /r/LocalLLaMA/comments/1oq3ls6/lemonades_c_port_is_available_in_beta_today_let/ | false | false | default | 122 | {'enabled': True, 'images': [{'id': 'yemgirr6wnzf1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/yemgirr6wnzf1.png?width=108&crop=smart&auto=webp&s=b2ac70291af97173574f04593dacc4a9c49a3697', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/yemgirr6wnzf1.png?width=216&crop=smart&auto=web... | |
Saw this masterpiece | 311 | I will say the guy who made this isn't an accident Bro !!! | 2025-11-06T16:23:37 | Emergency_Beat8198 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oq3eo2 | false | null | t3_1oq3eo2 | /r/LocalLLaMA/comments/1oq3eo2/saw_this_masterpiece/ | false | false | default | 311 | {'enabled': True, 'images': [{'id': 'gq0gb70bxnzf1', 'resolutions': [{'height': 127, 'url': 'https://preview.redd.it/gq0gb70bxnzf1.jpeg?width=108&crop=smart&auto=webp&s=f028c6dbf904a6f868323311d157272ad8a6e2f3', 'width': 108}, {'height': 254, 'url': 'https://preview.redd.it/gq0gb70bxnzf1.jpeg?width=216&crop=smart&auto=... | |
Anyone got agents running locally? curious what the best tools out there are? | 6 | looking for some simple out of the box tools to get agents running locally. wondering what people have found to be useful and the easiest way to get started? | 2025-11-06T16:23:36 | https://www.reddit.com/r/LocalLLaMA/comments/1oq3eno/anyone_got_agents_running_locally_curious_what/ | JBG32123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq3eno | false | null | t3_1oq3eno | /r/LocalLLaMA/comments/1oq3eno/anyone_got_agents_running_locally_curious_what/ | false | false | self | 6 | null |
How to run glm 4.5 air more faster | 0 | I have computer with a rtx 5090 and 96gb of ram.
I was thinking i might be able to get a better tps than what i get.
My cpu is also core 7 ultra 265k but with lm studio i get around 13 to 14tps.
It's not usable at all.
For me to consider a model usable atleast need to get 20 to 30 tps on a large context around 100k... | 2025-11-06T16:17:01 | https://www.reddit.com/r/LocalLLaMA/comments/1oq386i/how_to_run_glm_45_air_more_faster/ | lumos675 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq386i | false | null | t3_1oq386i | /r/LocalLLaMA/comments/1oq386i/how_to_run_glm_45_air_more_faster/ | false | false | self | 0 | null |
Local LM setup: RTX 5070Ti 16G vs DGX Spark vs Mac Studio 64G | 5 | I am starting research (PhD) in language models. I've been juggling data between university servers for running experiments but it is a pain. I am considering spending some 💰 and setting up a local server. My typical use-case is inference and finetuning smaller LMs.
I can get the following in about $3000:
1. Core ult... | 2025-11-06T16:03:41 | https://www.reddit.com/r/LocalLLaMA/comments/1oq2uw1/local_lm_setup_rtx_5070ti_16g_vs_dgx_spark_vs_mac/ | v01dm4n | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq2uw1 | false | null | t3_1oq2uw1 | /r/LocalLLaMA/comments/1oq2uw1/local_lm_setup_rtx_5070ti_16g_vs_dgx_spark_vs_mac/ | false | false | self | 5 | null |
GPT OSS 20B with llama.cpp on Nvidia 5000 series | 0 | Hello,
To reduce cost I bought some old laptop on ebay with 16GB vRam !, here is some benchs :
In Order :
[Nvidia P5000 Mobile \(Pascal\)](https://preview.redd.it/1vphueu8onzf1.png?width=1391&format=png&auto=webp&s=20185d9f59764c2b38362ffa4f2cc3fbbe1979d0)
.
[Nvidia Quadro RTX 5000 Mobile \(Turing\)](https://prev... | 2025-11-06T15:55:26 | https://www.reddit.com/r/LocalLLaMA/comments/1oq2mot/gpt_oss_20b_with_llamacpp_on_nvidia_5000_series/ | Squik67 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq2mot | false | null | t3_1oq2mot | /r/LocalLLaMA/comments/1oq2mot/gpt_oss_20b_with_llamacpp_on_nvidia_5000_series/ | false | false | 0 | null | |
How does Parallel Test Time Compute really work? | 1 | [removed] | 2025-11-06T15:45:27 | https://www.reddit.com/r/LocalLLaMA/comments/1oq2cu7/how_does_parallel_test_time_compute_really_work/ | Potential_Top_4669 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq2cu7 | false | null | t3_1oq2cu7 | /r/LocalLLaMA/comments/1oq2cu7/how_does_parallel_test_time_compute_really_work/ | false | false | self | 1 | null |
GPUs with NVMe SSDs on-board serving full LLM weights, is it the future? | 0 | HBM is very wasteful for "slow" CPUs processing data word by word, while GPUs can technically access NVMe SSDs (Nvidia have their high-end cards already supporting that), it'll be much more cost-effective for consumer GPUs to alloc NVMe slots and have user put SSDs on-board for full LLM weights, then HBM VRAM serve as ... | 2025-11-06T15:34:05 | https://www.reddit.com/r/LocalLLaMA/comments/1oq21yo/gpus_with_nvme_ssds_onboard_serving_full_llm/ | complyue | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq21yo | false | null | t3_1oq21yo | /r/LocalLLaMA/comments/1oq21yo/gpus_with_nvme_ssds_onboard_serving_full_llm/ | false | false | self | 0 | null |
Intel Arc Pro B60 24GB workstation GPU to launch in Europe mid to late November, starting at €769 | 0 | 2025-11-06T15:30:42 | https://videocardz.com/newz/intel-arc-pro-b60-24gb-workstation-gpu-to-launch-in-europe-mid-to-late-november-starting-at-e769 | reps_up | videocardz.com | 1970-01-01T00:00:00 | 0 | {} | 1oq1yvv | false | null | t3_1oq1yvv | /r/LocalLLaMA/comments/1oq1yvv/intel_arc_pro_b60_24gb_workstation_gpu_to_launch/ | false | false | default | 0 | {'enabled': False, 'images': [{'id': 'CjWSSDI7tgLX8bg-tWIZXxN_9y21HSnJTzzId5X3RXg', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/CjWSSDI7tgLX8bg-tWIZXxN_9y21HSnJTzzId5X3RXg.jpeg?width=108&crop=smart&auto=webp&s=16be051e7c64e0bf33c8cc495fd2b73e15d18791', 'width': 108}, {'height': 112, 'url': '... | |
Kimi K2 Thinking Huggingface | 259 | 2025-11-06T15:12:59 | https://huggingface.co/moonshotai/Kimi-K2-Thinking | DistanceSolar1449 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1oq1i9b | true | null | t3_1oq1i9b | /r/LocalLLaMA/comments/1oq1i9b/kimi_k2_thinking_huggingface/ | false | false | default | 259 | {'enabled': False, 'images': [{'id': 'H-gfQMTLwEzPYBcfO_Qq4uuh_Gu1NEE3y2PjVFhCwx0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/H-gfQMTLwEzPYBcfO_Qq4uuh_Gu1NEE3y2PjVFhCwx0.png?width=108&crop=smart&auto=webp&s=07dc83095105be433db2dde187f5ec06563728e8', 'width': 108}, {'height': 116, 'url': 'h... | |
Kimi released Kimi K2 Thinking, an open-source trillion-parameter reasoning model | 746 | 2025-11-06T15:04:59 | https://www.reddit.com/r/LocalLLaMA/comments/1oq1arc/kimi_released_kimi_k2_thinking_an_opensource/ | nekofneko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq1arc | false | null | t3_1oq1arc | /r/LocalLLaMA/comments/1oq1arc/kimi_released_kimi_k2_thinking_an_opensource/ | false | false | 746 | null | ||
Why is the rtx 6000 pro 7500-8300bucks , when 96 gb of gddr7 costs 320bucks ? Monopoly/ greed and demand?? | 0 | You can find 3gb of gddr7 for 10 bucks , even larger chips shouldnt cost much more per gb. The pricing is absurd , packaging and the gpu die dont cost that much, nvidia is price gouging their costumers…. Even apple’s ram price is absurd… it feels like amd is not doing much as if they are bought off by Nvidia or some... | 2025-11-06T14:50:22 | https://www.reddit.com/r/LocalLLaMA/comments/1oq0x6r/why_is_the_rtx_6000_pro_75008300bucks_when_96_gb/ | power97992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq0x6r | false | null | t3_1oq0x6r | /r/LocalLLaMA/comments/1oq0x6r/why_is_the_rtx_6000_pro_75008300bucks_when_96_gb/ | false | false | self | 0 | null |
LLMs try ascii letters | 9 | hey all, recently went into a little rabbit hole into LLMs generating ascii art. unsurprisingly Claude got it \*mostly\* right. but its pretty interesting to see how each model treats generating ASCII art. i wasnt able to test the true superpowers of AI but checked out Kimi K2 (with thinking, somehow (probably just a r... | 2025-11-06T14:33:53 | https://www.reddit.com/r/LocalLLaMA/comments/1oq0iak/llms_try_ascii_letters/ | ComplexType568 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq0iak | false | null | t3_1oq0iak | /r/LocalLLaMA/comments/1oq0iak/llms_try_ascii_letters/ | false | false | 9 | null | |
Is there any good offline free open source Meeting protocol creation app on github? | 5 | a simple whisper+deepseek/qwenllm project should do the trick, right?
is there any good project you can advice? ideally one i can use at my company.
any hints would be greatly appreciated | 2025-11-06T14:24:03 | https://www.reddit.com/r/LocalLLaMA/comments/1oq09kh/is_there_any_good_offline_free_open_source/ | howardhus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oq09kh | false | null | t3_1oq09kh | /r/LocalLLaMA/comments/1oq09kh/is_there_any_good_offline_free_open_source/ | false | false | self | 5 | null |
We have a new Autoregressive Text-to-Speech in town! | 92 | [https://huggingface.co/maya-research/maya1](https://huggingface.co/maya-research/maya1) | 2025-11-06T13:48:06 | Severe-Awareness829 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1opzdow | false | null | t3_1opzdow | /r/LocalLLaMA/comments/1opzdow/we_have_a_new_autoregressive_texttospeech_in_town/ | false | false | default | 92 | {'enabled': True, 'images': [{'id': '3gtxm0bl5nzf1', 'resolutions': [{'height': 48, 'url': 'https://preview.redd.it/3gtxm0bl5nzf1.png?width=108&crop=smart&auto=webp&s=ce8efe5f7e36b911e9e602e6422c702a3c64b2bd', 'width': 108}, {'height': 97, 'url': 'https://preview.redd.it/3gtxm0bl5nzf1.png?width=216&crop=smart&auto=webp... | |
3 RTX 3090 graphics cards in a computer for inference and neural network training | 2 | I want to build a sufficiently powerful PC for ML within my budget. I have enough money for 3× RTX 3090s or a single RTX 5090. In terms of performance, they’re roughly comparable (3 × 35.58 TFLOPS FP32 vs 1 × 104.8 TFLOPS FP32), but the 3× RTX 3090s have more VRAM (3 × 24 GB vs 1 × 32 GB). As I understand it, to run th... | 2025-11-06T13:44:36 | https://www.reddit.com/r/LocalLLaMA/comments/1opzanc/3_rtx_3090_graphics_cards_in_a_computer_for/ | Standard-Heat4706 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1opzanc | false | null | t3_1opzanc | /r/LocalLLaMA/comments/1opzanc/3_rtx_3090_graphics_cards_in_a_computer_for/ | false | false | self | 2 | null |
The 1 Billion Token Challenge: Finding the Perfect Pre-training Mix | 15 | 2025-11-06T13:41:14 | https://huggingface.co/blog/codelion/optimal-dataset-mixing | asankhs | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1opz7s0 | false | null | t3_1opz7s0 | /r/LocalLLaMA/comments/1opz7s0/the_1_billion_token_challenge_finding_the_perfect/ | false | false | default | 15 | {'enabled': False, 'images': [{'id': '_7547ybAZ0VtkPRQO9cNQBrH3zJjmJDlBtHalKB63eY', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/_7547ybAZ0VtkPRQO9cNQBrH3zJjmJDlBtHalKB63eY.png?width=108&crop=smart&auto=webp&s=922718466ba26d8d59ef8fba09212f307e3ef525', 'width': 108}, {'height': 116, 'url': 'h... | |
ok no jokes like i did previously, why does my whisper in cpu base english doesnt work and the LLM is speaking nonsense, i only said "who are you" | 0 | i have piper tts on, the model was gemma 4b q6 | 2025-11-06T13:41:05 | BuriqKalipun | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1opz7mc | false | null | t3_1opz7mc | /r/LocalLLaMA/comments/1opz7mc/ok_no_jokes_like_i_did_previously_why_does_my/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'qfl45a5c4nzf1', 'resolutions': [{'height': 91, 'url': 'https://preview.redd.it/qfl45a5c4nzf1.png?width=108&crop=smart&auto=webp&s=15f05327990a00ed02cf05e4488f3b53c8f14b05', 'width': 108}, {'height': 182, 'url': 'https://preview.redd.it/qfl45a5c4nzf1.png?width=216&crop=smart&auto=web... | |
built a single control panel to build mcp servers from any db to any agent builder | 3 | built a tool that lets you connect your sources (like postgres, bigquery, snowflake, hubspot, etc), define, join and sandbox views using sql, and then chat with ai to configure mcp tools on this view.
these tools can then be published to any agent builder via one link - openai, langgraph, n8n, make, or your own - with... | 2025-11-06T13:34:43 | Better-Department662 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1opz27e | false | null | t3_1opz27e | /r/LocalLLaMA/comments/1opz27e/built_a_single_control_panel_to_build_mcp_servers/ | false | false | default | 3 | {'enabled': True, 'images': [{'id': '5ubsg5k93nzf1', 'resolutions': [{'height': 69, 'url': 'https://preview.redd.it/5ubsg5k93nzf1.png?width=108&crop=smart&auto=webp&s=b54c18447e0e6885e85a9d24e3ee5b782c3ace7c', 'width': 108}, {'height': 138, 'url': 'https://preview.redd.it/5ubsg5k93nzf1.png?width=216&crop=smart&auto=web... | |
11 problems nobody talks about building Agents (and how to approach them) | 0 | I have been working on AI agents for a while now. It’s fun, but some parts are genuinely tough to get right. Over time, I have kept a mental list of things that consistently slow me down.
These are the hardest issues I have hit (and how you can approach each of them).
# 1. Overly Complex Frameworks
I think the bigge... | 2025-11-06T13:29:42 | https://composio.dev/blog/11-problems-i-have-noticed-building-agents-(and-fixes-nobody-talks-about) | Acrobatic-Pay-279 | composio.dev | 1970-01-01T00:00:00 | 0 | {} | 1opyxu7 | false | null | t3_1opyxu7 | /r/LocalLLaMA/comments/1opyxu7/11_problems_nobody_talks_about_building_agents/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'E7osLo16dHGyGHMFS5WAFF_cR8bnX9KL3VZzbEytdXs', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/E7osLo16dHGyGHMFS5WAFF_cR8bnX9KL3VZzbEytdXs.png?width=108&crop=smart&auto=webp&s=eee884df1d9954e282866c31a15edd2c2a217e1e', 'width': 108}, {'height': 113, 'url': 'h... | |
Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent | 35 | WeChat AI just dropped a paper called Continuous Autoregressive Language Models (CALM),it basically rethinks how LLMs generate text. Instead of predicting one token at a time from a discrete vocabulary (the slow, softmax-heavy way every GPT-style model works), CALM predicts continuous vectors that each represent multip... | 2025-11-06T13:26:55 | https://www.reddit.com/r/LocalLLaMA/comments/1opyvjt/continuous_autoregressive_language_models/ | Technical-Love-8479 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1opyvjt | false | null | t3_1opyvjt | /r/LocalLLaMA/comments/1opyvjt/continuous_autoregressive_language_models/ | false | false | self | 35 | null |
Can we expect Gemma 4 to generate/edit images? | 21 | Gemma 3 was based on gemini 2.0 architecture. Then gemini 2.5 was launched. But we didn't get gemma 4 or 3.5. Then when they released nanobanana and merged it with gemini 2.5 flash.
Then I had a thought. What if google releases gemini 3.0 with native image generation? If that becomes reality then we might get gemma 4 ... | 2025-11-06T13:10:44 | https://www.reddit.com/r/LocalLLaMA/comments/1opyi9q/can_we_expect_gemma_4_to_generateedit_images/ | Brave-Hold-9389 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1opyi9q | false | null | t3_1opyi9q | /r/LocalLLaMA/comments/1opyi9q/can_we_expect_gemma_4_to_generateedit_images/ | false | false | self | 21 | null |
Suggestion in training object detection models | 1 | Hey guys,
I have been working on detecting various segments from page layout i.e., text, marginalia, table, diagram, etc with object detection models with [yolov13](https://github.com/iMoonLab/yolov13). I've trained a couple of models, one model with around 3k samples & another with 1.8k samples. Both models were trai... | 2025-11-06T13:06:16 | https://www.reddit.com/r/LocalLLaMA/comments/1opyeiz/suggestion_in_training_object_detection_models/ | Adventurous-Storm102 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1opyeiz | false | null | t3_1opyeiz | /r/LocalLLaMA/comments/1opyeiz/suggestion_in_training_object_detection_models/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'wmkqHTFKZ4uN6n_8tj_Y5Z8GsEfZXIWjG-snCUTsfgw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/wmkqHTFKZ4uN6n_8tj_Y5Z8GsEfZXIWjG-snCUTsfgw.png?width=108&crop=smart&auto=webp&s=c3f33fbebd35f6bd5346939c8eae0e9391f232dc', 'width': 108}, {'height': 108, 'url': 'h... |
GitHub - qqqa: Fast, stateless LLM for your shell: qq answers; qa runs commands (MIT) | 2 | 2025-11-06T12:27:57 | https://github.com/matisojka/qqqa | MorroWtje | github.com | 1970-01-01T00:00:00 | 0 | {} | 1opxkrj | false | null | t3_1opxkrj | /r/LocalLLaMA/comments/1opxkrj/github_qqqa_fast_stateless_llm_for_your_shell_qq/ | false | false | default | 2 | {'enabled': False, 'images': [{'id': 'hEip0VgC5lajvTv4TBedru7ffBSINBylFeJGCyBCZjw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/hEip0VgC5lajvTv4TBedru7ffBSINBylFeJGCyBCZjw.png?width=108&crop=smart&auto=webp&s=e9c285d3da885ea7b43373973cea6b95d7d2002b', 'width': 108}, {'height': 108, 'url': 'h... | |
Title: What groundbreaking MCP server ideas could literally disrupt entire industries now that Claude can autonomously control our computers? | 0 | So I just learned about Model Context Protocol (MCP) servers and how they let Claude autonomously interact with your PC, applications, and systems - not just browse the web, but ACTUALLY control things.
This feels like one of those “before and after” moments in tech history. We’re talking about AI that can:
• Execute ... | 2025-11-06T12:25:39 | https://www.reddit.com/r/LocalLLaMA/comments/1opxj4e/title_what_groundbreaking_mcp_server_ideas_could/ | Ok-Breakfast-4676 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1opxj4e | false | null | t3_1opxj4e | /r/LocalLLaMA/comments/1opxj4e/title_what_groundbreaking_mcp_server_ideas_could/ | false | false | self | 0 | null |
Text-to-Speech (TTS) models & Tools for 8GB VRAM? | 10 | I'm a GGUF guy. I use Jan, Koboldcpp, llama.cpp for Text models. Now I'm starting to experiment with Audio models(TTS - Text to Speech).
I see below Audio model formats on HuggingFace. Now I have confusion over model formats.
* safetensors / bin (PyTorch)
* GGUF
* ONNX
I don't see GGUF quants for some Audio models.... | 2025-11-06T12:14:17 | https://www.reddit.com/r/LocalLLaMA/comments/1opxb1r/texttospeech_tts_models_tools_for_8gb_vram/ | pmttyji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1opxb1r | false | null | t3_1opxb1r | /r/LocalLLaMA/comments/1opxb1r/texttospeech_tts_models_tools_for_8gb_vram/ | false | false | self | 10 | null |
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