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🎄 We release 67,074 Qwen3-Coder OpenHands trajectories on SWE-rebench + 2 model checkpoints! | 48 | Happy holidays! 🎄
I’m Ibragim from Nebius.
We’re releasing a big dataset for agentic coding research: 67,074 OpenHands trajectories (plus 2 RFT checkpoints), built from 3,800 resolved issues across 1,800+ Python repos. The trajectories are long: 64 turns on average, up to 100 turns, and up to 131k context length.
... | 2025-12-24T21:08:30 | https://huggingface.co/collections/nebius/openhands-trajectories | Fabulous_Pollution10 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1puxedb | false | null | t3_1puxedb | /r/LocalLLaMA/comments/1puxedb/we_release_67074_qwen3coder_openhands/ | false | false | default | 48 | {'enabled': False, 'images': [{'id': 'Dhe375wyR8tu2LaFu992kxZN7nBVngBP3mBqrvOD7tg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/Dhe375wyR8tu2LaFu992kxZN7nBVngBP3mBqrvOD7tg.png?width=108&crop=smart&auto=webp&s=ec3f91a26da07c12f8a13d1e8416125e215df6b1', 'width': 108}, {'height': 116, 'url': 'h... |
Hey guys, just joined NVIDIA dev ecosystem. They have a lot of courses. Which ones would you start with? | 1 | 2025-12-24T21:07:38 | QualityEvery6965 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1puxdpw | false | null | t3_1puxdpw | /r/LocalLLaMA/comments/1puxdpw/hey_guys_just_joined_nvidia_dev_ecosystem_they/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'hnro3qrvv79g1', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/hnro3qrvv79g1.jpeg?width=108&crop=smart&auto=webp&s=6d462afea8c10c3b62530be37e1e32552c75b1d1', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/hnro3qrvv79g1.jpeg?width=216&crop=smart&auto=w... | ||
Is there any tool I can use to train gpt 2 or phi 2 off of my own datasets locally on my desktop | 3 | Just wondering if there is a easy way to fine tune a modal locally | 2025-12-24T21:07:00 | https://www.reddit.com/r/LocalLLaMA/comments/1puxd9x/is_there_any_tool_i_can_use_to_train_gpt_2_or_phi/ | 2001obum | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puxd9x | false | null | t3_1puxd9x | /r/LocalLLaMA/comments/1puxd9x/is_there_any_tool_i_can_use_to_train_gpt_2_or_phi/ | false | false | self | 3 | null |
Hardware for a new AI diy server build | 1 | Hola all.
If you were going to build a new AI rig today what hardware would you choose?
Let me clarify a bit:
\- DIY but "serverish" grade build, that fits a rack
\- Most cheap industrial 4..5U cases can fit an ATX mobo with 7 slots
\- Assuming 7 slots is max, then 3x GPU (3x 2 slot)
\- I currently own 2x RTX 309... | 2025-12-24T21:02:52 | https://www.reddit.com/r/LocalLLaMA/comments/1puxa89/hardware_for_a_new_ai_diy_server_build/ | ChopSticksPlease | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puxa89 | false | null | t3_1puxa89 | /r/LocalLLaMA/comments/1puxa89/hardware_for_a_new_ai_diy_server_build/ | false | false | self | 1 | null |
We asked OSS-120B and GLM 4.6 to play 1,408 Civilization V games from the Stone Age into the future. Here's what we found. | 603 | [GLM-4.6 Playing Civilization V + Vox Populi \(Replay\)](https://i.redd.it/zaib4up4s79g1.gif)
We had GPT-OSS-120B and GLM-4.6 playing 1,408 full Civilization V games (with Vox Populi/Community Patch activated). In a nutshell: LLMs set strategies for Civilization V's algorithmic AI to execute. Here is what we found:
[... | 2025-12-24T20:50:16 | https://www.reddit.com/r/LocalLLaMA/comments/1pux0yc/we_asked_oss120b_and_glm_46_to_play_1408/ | vox-deorum | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pux0yc | false | null | t3_1pux0yc | /r/LocalLLaMA/comments/1pux0yc/we_asked_oss120b_and_glm_46_to_play_1408/ | false | false | 603 | null | |
What OS do you run on your AI rigs? Ubuntu, TrueNAS, etc.? | 3 | Hey Folks,
Just the title, really. I just built a new local rig and am debating what to put on there. Ubuntu seems like a good option- less overhead. TrueNAS seems feature-rich with native Docker Compose. My use cases: finetuning, long RL runs, GGUF conversions, async long run multi-agent executions, and ofc vLLM for ... | 2025-12-24T20:33:23 | https://www.reddit.com/r/LocalLLaMA/comments/1puwohv/what_os_do_you_run_on_your_ai_rigs_ubuntu_truenas/ | KvAk_AKPlaysYT | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puwohv | false | null | t3_1puwohv | /r/LocalLLaMA/comments/1puwohv/what_os_do_you_run_on_your_ai_rigs_ubuntu_truenas/ | false | false | self | 3 | null |
Deepseek will release a larger model next year | 70 | THis is old news but, I forgot to mention this before.
This is from section 5, [https://arxiv.org/html/2512.02556v1#S5](https://arxiv.org/html/2512.02556v1#S5) \-" First, due to fewer total training FLOPs, the breadth of world knowledge in DeepSeek-V3.2 still lags behind that of leading proprietary models. We plan to... | 2025-12-24T20:25:01 | https://www.reddit.com/r/LocalLLaMA/comments/1puwi5o/deepseek_will_release_a_larger_model_next_year/ | power97992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puwi5o | false | null | t3_1puwi5o | /r/LocalLLaMA/comments/1puwi5o/deepseek_will_release_a_larger_model_next_year/ | false | false | self | 70 | null |
Just saw this paper on arxiv - is this legit? Supposedly LangVAE straps a VAE + compression algorithm onto any LLM image, reduces resource requirements by up to -90%-?! | 15 | https://arxiv.org/html/2505.00004v1
If the article and supporting libs -are- legit, then i have two follow up qs:
Can this be used to reduce requirements for inference, or is it only useful for training and research?
Finally, if it -can- reduce requirements for inference, how do we get started? | 2025-12-24T20:23:32 | https://www.reddit.com/r/LocalLLaMA/comments/1puwh0a/just_saw_this_paper_on_arxiv_is_this_legit/ | MrE_WI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puwh0a | false | null | t3_1puwh0a | /r/LocalLLaMA/comments/1puwh0a/just_saw_this_paper_on_arxiv_is_this_legit/ | false | false | self | 15 | null |
LM Studio CPU usage more than 100 per cent. | 0 | So i did read a couple posts about it really just using one core but i want to be sure that i dont fry anything, what does that really mean? | 2025-12-24T20:16:42 | https://www.reddit.com/r/LocalLLaMA/comments/1puwbu3/lm_studio_cpu_usage_more_than_100_per_cent/ | Such-Honeydew4760 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puwbu3 | false | null | t3_1puwbu3 | /r/LocalLLaMA/comments/1puwbu3/lm_studio_cpu_usage_more_than_100_per_cent/ | false | false | self | 0 | null |
Concurrency planning for local RAG ingestion - 5090 + 5070Ti, looking for sanity check | 1 | For those unfamiliar: LightRAG (https://github.com/HKUDS/LightRAG) builds a knowledge graph from your documents using an LLM for entity/relationship extraction and an embedding model for vector search. The ingestion is LLM-heavy.
My mistake: I ran everything through LM Studio on a single 5090. Qwen3 14B instruct + Qwe... | 2025-12-24T20:10:55 | https://www.reddit.com/r/LocalLLaMA/comments/1puw7iz/concurrency_planning_for_local_rag_ingestion_5090/ | PentagonUnpadded | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puw7iz | false | null | t3_1puw7iz | /r/LocalLLaMA/comments/1puw7iz/concurrency_planning_for_local_rag_ingestion_5090/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'o7euTFH0vYIhM_DJawkIc6Qzm21qt2TOaSfABszCzLo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/o7euTFH0vYIhM_DJawkIc6Qzm21qt2TOaSfABszCzLo.png?width=108&crop=smart&auto=webp&s=c1cc35b3752464f6fe0fe3e090d744436b9fad31', 'width': 108}, {'height': 108, 'url': 'h... |
🚨 The Epstein files redaction failure 🚨 | 0 | Large portions of the Epstein files have been improperly redacted, and you can unredact them by literally just copying and pasting into Microsoft word or another word processing program. Is there a way to scrape and mass unredact the files released? | 2025-12-24T20:04:21 | https://www.reddit.com/r/LocalLLaMA/comments/1puw2fe/the_epstein_files_redaction_failure/ | Internal_Ad2621 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puw2fe | false | null | t3_1puw2fe | /r/LocalLLaMA/comments/1puw2fe/the_epstein_files_redaction_failure/ | false | false | self | 0 | null |
For people running local agents: what real world action do you still block them from doing? | 2 | I run agents locally and they reason fine, call tools, and automate workflows.
The place I always stop is execution with real consequences, especially payments.
Right now it usually looks like this: the agent decides → I manually approve or pay → the workflow continues.
I am exploring whether tightly scoped, on-cha... | 2025-12-24T19:43:17 | https://www.reddit.com/r/LocalLLaMA/comments/1puvmc9/for_people_running_local_agents_what_real_world/ | Chance_Lion3547 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puvmc9 | false | null | t3_1puvmc9 | /r/LocalLLaMA/comments/1puvmc9/for_people_running_local_agents_what_real_world/ | false | false | self | 2 | null |
[Architecture Share] Implementing CoALA Memory using Postgres/pgvector (v0.5.0 Deep Dive) | 1 | I've posted about Soorma here before. We're building an open-source orchestration framework, and we just merged a major update to the **Memory Service**.
I wanted to share the architectural decisions we made implementing the **CoALA framework** (Cognitive Architectures for Language Agents) specifically for local/self-... | 2025-12-24T19:20:12 | https://www.reddit.com/r/LocalLLaMA/comments/1puv4hv/architecture_share_implementing_coala_memory/ | gnulib | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puv4hv | false | null | t3_1puv4hv | /r/LocalLLaMA/comments/1puv4hv/architecture_share_implementing_coala_memory/ | false | false | self | 1 | null |
K2-V2 - 70B and creative writing | 27 | Has anyone else tried K2-V2 - 70B in the creative writing realm? I first heard about it from this post: [https://www.reddit.com/r/LocalLLaMA/comments/1pqala0/mbzuai\_releases\_k2v2\_70b\_fully\_open\_model/](https://www.reddit.com/r/LocalLLaMA/comments/1pqala0/mbzuai_releases_k2v2_70b_fully_open_model/)
I am pleasant... | 2025-12-24T19:18:47 | https://www.reddit.com/r/LocalLLaMA/comments/1puv3de/k2v2_70b_and_creative_writing/ | silenceimpaired | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puv3de | false | null | t3_1puv3de | /r/LocalLLaMA/comments/1puv3de/k2v2_70b_and_creative_writing/ | false | false | self | 27 | {'enabled': False, 'images': [{'id': 'TOoZuwsCxdkzfZTpgJYUk2gRz7HXYz-L8zpcweaK4To', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/TOoZuwsCxdkzfZTpgJYUk2gRz7HXYz-L8zpcweaK4To.png?width=108&crop=smart&auto=webp&s=b8d9a5e1eeef9702bd48d9f7fc92d6ff2380ba1a', 'width': 108}, {'height': 116, 'url': 'h... |
Built a Mortgage Underwriting OCR With 96% Real-World Accuracy (Saved ~$2M/Year) | 0 | I recently built an OCR system specifically for mortgage underwriting, and the real-world accuracy is consistently around **96%**.
This wasn’t a lab benchmark. It’s running in production.
For context, most underwriting workflows I saw were using a single generic OCR engine and were stuck around **70–72% accuracy**. T... | 2025-12-24T18:54:34 | https://www.reddit.com/r/LocalLLaMA/comments/1puujvb/built_a_mortgage_underwriting_ocr_with_96/ | Fantastic-Radio6835 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puujvb | false | null | t3_1puujvb | /r/LocalLLaMA/comments/1puujvb/built_a_mortgage_underwriting_ocr_with_96/ | false | false | self | 0 | null |
What to run with 72 GB VRAM, 128 GB RAM? | 0 | I'm curious if anyone is in a similar position as me. I have maxed out my z790 motherboard with
- 4090
- 2x3090
- 2x64 GB DDR5 5600 MT/s
This puts me in a weird situation where I can run models like GPT-OSS-120B, GLM 4.5 Air, MiniMax M2 with ease. Sadly I'm just a bit short of GLM 4.6 (even REAP), and very far ... | 2025-12-24T18:50:33 | https://www.reddit.com/r/LocalLLaMA/comments/1puuglc/what_to_run_with_72_gb_vram_128_gb_ram/ | kevin_1994 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puuglc | false | null | t3_1puuglc | /r/LocalLLaMA/comments/1puuglc/what_to_run_with_72_gb_vram_128_gb_ram/ | false | false | self | 0 | null |
A sanity layer that can make SLMs useful (sSanityLayer) | 11 | This is a MultiHeadAttention Layer architecture that modulates emotional intensity by introducing vector bias and/or vector noise. It uses semantic anchoring to alter the sanity state(essentialy tied to strength and boost parameter) using a hybrid RNN. Note, this does not make LLMs smarter, but rather acts as a smart f... | 2025-12-24T17:57:25 | https://www.reddit.com/r/LocalLLaMA/comments/1put96m/a_sanity_layer_that_can_make_slms_useful/ | ValuableLucky8566 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1put96m | false | null | t3_1put96m | /r/LocalLLaMA/comments/1put96m/a_sanity_layer_that_can_make_slms_useful/ | false | false | self | 11 | {'enabled': False, 'images': [{'id': 'vpkkw_-KG7rU-vd5OSL5TGzzjN9jx9s58f5JNlEofQE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/vpkkw_-KG7rU-vd5OSL5TGzzjN9jx9s58f5JNlEofQE.png?width=108&crop=smart&auto=webp&s=56ee6701040c7f9db96d7ead6c95e05038787925', 'width': 108}, {'height': 108, 'url': 'h... |
What is the next step after learning about transformers in detail | 2 | I have learnt about transformers in details and now i want to understand about how and why we deviated from the original architecture to better architectures and other things related to it. Can someone suggest how should i proceed? And pls serious answers only. | 2025-12-24T17:32:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pusp8x/what_is_the_next_step_after_learning_about/ | Super_Piano8278 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pusp8x | false | null | t3_1pusp8x | /r/LocalLLaMA/comments/1pusp8x/what_is_the_next_step_after_learning_about/ | false | false | self | 2 | null |
Help with context length on ollama | 3 | 2025-12-24T17:30:43 | https://www.reddit.com/gallery/1pusnn6 | JHorma97 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pusnn6 | false | null | t3_1pusnn6 | /r/LocalLLaMA/comments/1pusnn6/help_with_context_length_on_ollama/ | false | false | 3 | null | ||
I built a deterministic internal-state reasoning engine that constrains LLM output (proof-of-architecture + demo) | 0 | I’ve been experimenting with a constraint-first internal-state reasoning architecture designed to sit beneath or alongside LLMs.
The core idea is simple:
Probabilistic language generation should not be the cognitive core. It should be subordinated to persistent symbolic state, deterministic routing, and explicit const... | 2025-12-24T17:26:52 | https://www.reddit.com/r/LocalLLaMA/comments/1puskjc/i_built_a_deterministic_internalstate_reasoning/ | GhoCentric | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puskjc | false | null | t3_1puskjc | /r/LocalLLaMA/comments/1puskjc/i_built_a_deterministic_internalstate_reasoning/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'i3zMvdHAyaQoLxsgLj_VMfyV4QvlkpofyQ4Zs6FaI2w', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/i3zMvdHAyaQoLxsgLj_VMfyV4QvlkpofyQ4Zs6FaI2w.png?width=108&crop=smart&auto=webp&s=5eb3a28f64441968c62011400f74222e98d8f23a', 'width': 108}, {'height': 108, 'url': 'h... |
Vionous: 5.7M Q&A pairs across 116 domains — free LoRA training data with one-click Colab notebooks | 7 | Built an open library of training data for domain-specific adapters. What's there: - 116 packages (math, programming, sciences, languages, humanities, etc.) - 5.7 million Q&A pairs - Every package has a Colab notebook — click, run, trained adapter in 2-4 hours - Works with any Llama-architecture model Largest packages:... | 2025-12-24T16:28:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pur9d6/vionous_57m_qa_pairs_across_116_domains_free_lora/ | Confident_Ad_2321 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pur9d6 | false | null | t3_1pur9d6 | /r/LocalLLaMA/comments/1pur9d6/vionous_57m_qa_pairs_across_116_domains_free_lora/ | false | false | self | 7 | {'enabled': False, 'images': [{'id': 'bdafC-rorjoKySqKmxjDHRfCChduOfFgHxZ-BOH3fBE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/bdafC-rorjoKySqKmxjDHRfCChduOfFgHxZ-BOH3fBE.png?width=108&crop=smart&auto=webp&s=2b0859ecb3604f2e456ba3e813580a4b21dd5696', 'width': 108}, {'height': 108, 'url': 'h... |
is the openai package still the best approach for working with LLMs in Python? | 7 | Not a fan of langchain, crewai or the scores of other AI frameworks. I want just the basics of structured outputs. As far as I can tell the openai package is the works-and-bug-free go to. You of course can insert your own endpoint, model. Is there nothing better now? So many new models etc. but nothing better in such a... | 2025-12-24T16:04:42 | https://www.reddit.com/r/LocalLLaMA/comments/1puqqjv/is_the_openai_package_still_the_best_approach_for/ | rm-rf-rm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puqqjv | false | null | t3_1puqqjv | /r/LocalLLaMA/comments/1puqqjv/is_the_openai_package_still_the_best_approach_for/ | false | false | self | 7 | null |
Offline on-device LLM chat app for iOS (local inference, no cloud) | 0 | I wanted to share an iOS app called **Private Mind: Offline AI Chat** that runs **entirely on-device** \- no server calls, no accounts, no tracking.
The app focuses on **local inference** on iPhone using optimized models for mobile constraints. Once downloaded, it works fully offline (including airplane mode).
**Key ... | 2025-12-24T16:02:38 | Careless_Original978 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1puqoum | false | null | t3_1puqoum | /r/LocalLLaMA/comments/1puqoum/offline_ondevice_llm_chat_app_for_ios_local/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'fnjdcd1fd69g1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/fnjdcd1fd69g1.png?width=108&crop=smart&auto=webp&s=7d48432f5d50274fe1d256da3b43021f12887824', 'width': 108}, {'height': 217, 'url': 'https://preview.redd.it/fnjdcd1fd69g1.png?width=216&crop=smart&auto=we... | |
Got spare GPUs but no project ideas. What should a new LLM engineer build/research? | 5 | I'm new to the LLM space, currently working in AI applications.I currently have access to:
**1.Hardware:** A node with 4x NVIDIA H200 largely at my disposal.
**2.Resources:** Unlimited internal access to various large model APIs.
**3.The Constraint:** Everything is strictly restricted to the internal network. I c... | 2025-12-24T16:00:16 | https://www.reddit.com/r/LocalLLaMA/comments/1puqmr5/got_spare_gpus_but_no_project_ideas_what_should_a/ | InsideTop3230 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puqmr5 | false | null | t3_1puqmr5 | /r/LocalLLaMA/comments/1puqmr5/got_spare_gpus_but_no_project_ideas_what_should_a/ | false | false | self | 5 | null |
GLM 4.7 can close to sonnet 4.7? | 0 | Has anyone tested the glm4.7 ? Is it really close to Sonnet 4.5? Thank you.
| 2025-12-24T15:44:08 | https://www.reddit.com/r/LocalLLaMA/comments/1puq9up/glm_47_can_close_to_sonnet_47/ | Federal_Spend2412 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puq9up | false | null | t3_1puq9up | /r/LocalLLaMA/comments/1puq9up/glm_47_can_close_to_sonnet_47/ | false | false | self | 0 | null |
How you guys using deepseek v3.2 speciale model? | 7 | I am trying to use the deepseek official api to access the deepseek v3.2 speciale model but i am not able to there is only two model that i can see deepseek chat and deepseek reasoning.
Can anyone pls help me with it? thanks | 2025-12-24T15:23:58 | https://www.reddit.com/r/LocalLLaMA/comments/1puptny/how_you_guys_using_deepseek_v32_speciale_model/ | Ai_Peep | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puptny | false | null | t3_1puptny | /r/LocalLLaMA/comments/1puptny/how_you_guys_using_deepseek_v32_speciale_model/ | false | false | self | 7 | null |
I created an Issue for Maincoder in llama.cpp | 4 | Please show your support for the issue, if you believe that the addition of Maincoder Architecture to llama.cpp is useful.
Many thanks!
P.S Will make a followup post if a PR is made/Implemented | 2025-12-24T15:17:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pupo9i/i_created_an_issue_for_maincoder_in_llamacpp/ | Sufficient-Bid3874 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pupo9i | false | null | t3_1pupo9i | /r/LocalLLaMA/comments/1pupo9i/i_created_an_issue_for_maincoder_in_llamacpp/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': '6tTSifntJJkEmrWe_90yRTig2UnsKE0SJLuPZ8A2SIU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/6tTSifntJJkEmrWe_90yRTig2UnsKE0SJLuPZ8A2SIU.png?width=108&crop=smart&auto=webp&s=bd52a127ef079eef23456f5f8d66e454dea02b81', 'width': 108}, {'height': 108, 'url': 'h... |
Intel Arc Pro Graphics driver update 32.0.101.8306 WHQL (Q4.25) released | 0 | 2025-12-24T15:16:04 | https://www.intel.com/content/www/us/en/download/741626/intel-arc-pro-graphics-windows.html | reps_up | intel.com | 1970-01-01T00:00:00 | 0 | {} | 1pupndf | false | null | t3_1pupndf | /r/LocalLLaMA/comments/1pupndf/intel_arc_pro_graphics_driver_update_3201018306/ | false | false | default | 0 | {'enabled': False, 'images': [{'id': 'w8cdh82dTQN6aQiuTzDsvYn4x6rNHe8-pGPDRnuyqY8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/w8cdh82dTQN6aQiuTzDsvYn4x6rNHe8-pGPDRnuyqY8.png?width=108&crop=smart&auto=webp&s=7bf7d26eda1372ad44542dc8df7d7bbe2c6487e6', 'width': 108}, {'height': 121, 'url': 'h... | |
Free PDF-to-Markdown demo that finally extracts clean tables from 10-Ks (Docling) | 0 | Building RAG apps and hating how free tools mangle tables in financial PDFs?
I built a free demo using IBM's Docling – it handles merged cells and footnotes way better than most open-source options.
Try your own PDF: [https://amineace-pdf-tables-rag-demo.hf.space](https://amineace-pdf-tables-rag-demo.hf.space/?referr... | 2025-12-24T15:13:50 | https://www.reddit.com/r/LocalLLaMA/comments/1puplhz/free_pdftomarkdown_demo_that_finally_extracts/ | AmineAce | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puplhz | false | null | t3_1puplhz | /r/LocalLLaMA/comments/1puplhz/free_pdftomarkdown_demo_that_finally_extracts/ | false | false | 0 | null | |
MS-S1 Recommendations? | 1 | Hey all,
Apparently by tomorrow I'll be the owner of a 128Gb MS-S1.
Things I'd like to do...
1) Integrate with Paperless-AI and Karakeep for tagging and RAG
2) Help with HAOS (with automatons and setting stuff up)
3) Image Gen & Music Gen. This is mostly for fun/hobby to see what I can do
4) General chat le... | 2025-12-24T14:57:34 | https://www.reddit.com/r/LocalLLaMA/comments/1pup8im/mss1_recommendations/ | ZeroThaHero | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pup8im | false | null | t3_1pup8im | /r/LocalLLaMA/comments/1pup8im/mss1_recommendations/ | false | false | self | 1 | null |
Anyone seeing massive redundant prefill cost in deep agent workflows when self-hosting? | 1 | I’ve been benchmarking multi-step agent workflows (planner → executor → verifier)
on self-hosted open-weight models and keep running into the same pattern:
Once workflows get deep (10–20 steps) and reuse a large shared context,
a majority of inference cost is just re-encoding the same prefix over and over.
In o... | 2025-12-24T14:29:20 | https://www.reddit.com/r/LocalLLaMA/comments/1puomr9/anyone_seeing_massive_redundant_prefill_cost_in/ | FocusPilot-Sean | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puomr9 | false | null | t3_1puomr9 | /r/LocalLLaMA/comments/1puomr9/anyone_seeing_massive_redundant_prefill_cost_in/ | false | false | self | 1 | null |
Nanbeige4-3B-Thinking-2511 | 9 | Why almost no one talks about this model? I haven't seen anyone comparing it to Qwen3-4B-Thinking-2507 even though they are very comparable in size and in mindset (both models are in 3-4B range,both are overthinkers) I've only seen a single post about it but haven't seen no one recommends it in any other posts,the mode... | 2025-12-24T14:16:03 | https://www.reddit.com/r/LocalLLaMA/comments/1puocpz/nanbeige43bthinking2511/ | Character_Sea7898 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puocpz | false | null | t3_1puocpz | /r/LocalLLaMA/comments/1puocpz/nanbeige43bthinking2511/ | false | false | self | 9 | null |
minimax m2.1 is going to open source which is good but picture is here is minimax decoded how to make there model in good in coding. if u look at the benchmark closely its same like the claude bechmark best in coding wrost in other . so now we have a lab which solely focusing on coding | 51 | minimax is the part of alibaba so they got a compute and lots of compute so they are not going to lag behind and guess minimax is also good in video , audio generation .
so what the hell claude is doing with that much compute and crying about price | 2025-12-24T13:55:44 | Select_Dream634 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1punxjz | false | null | t3_1punxjz | /r/LocalLLaMA/comments/1punxjz/minimax_m21_is_going_to_open_source_which_is_good/ | false | false | default | 51 | {'enabled': True, 'images': [{'id': 'h0zmnel4q59g1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/h0zmnel4q59g1.png?width=108&crop=smart&auto=webp&s=aa3f0a36b4dd1ee56b6c9c10517fbd99d2b21581', 'width': 108}, {'height': 120, 'url': 'https://preview.redd.it/h0zmnel4q59g1.png?width=216&crop=smart&auto=web... | |
Which GPU should I use to caption ~50k images/day | 56 | I need to generate captions/descriptions for around 50,000 images per day (\~1.5M per month) using a vision-language model. From my initial tests, uform-gen2-qwen-500m and qwen2.5-vl:7b seem good enough quality for me.
I’m planning to rent a GPU, but inference speed is critical — the images need to be processed within... | 2025-12-24T13:14:59 | https://www.reddit.com/r/LocalLLaMA/comments/1pun4kk/which_gpu_should_i_use_to_caption_50k_imagesday/ | koteklidkapi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pun4kk | false | null | t3_1pun4kk | /r/LocalLLaMA/comments/1pun4kk/which_gpu_should_i_use_to_caption_50k_imagesday/ | false | false | self | 56 | null |
Learned Routers (Multi Model) | 1 | I am aware everyone hates the ChatGPT router LOL but I am interested in good quality open source router models that select between LLMs for local deployments
Does anyone know some good existing router models? Any good github repos in this area?
What sort of techniques are good for routers? Bert-likes? RL? | 2025-12-24T12:55:41 | https://www.reddit.com/r/LocalLLaMA/comments/1pumrfl/learned_routers_multi_model/ | SlowFail2433 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pumrfl | false | null | t3_1pumrfl | /r/LocalLLaMA/comments/1pumrfl/learned_routers_multi_model/ | false | false | self | 1 | null |
Hermes 13B beats Opus and Sonnet after 73k tests | 0 | after 2 months developing an app to generate high quality flashcards with ai and 73k analysis ive realized that hermes 13b well tuned generates better results than opus, sonnet and glm
for this specific task the local 13b model beats them all
next step is fine tuning but definitely for a specific task a small local m... | 2025-12-24T12:43:02 | https://www.reddit.com/r/LocalLLaMA/comments/1pumjdc/hermes_13b_beats_opus_and_sonnet_after_73k_tests/ | Empty_Enthusiasm_167 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pumjdc | false | null | t3_1pumjdc | /r/LocalLLaMA/comments/1pumjdc/hermes_13b_beats_opus_and_sonnet_after_73k_tests/ | false | false | self | 0 | null |
better times will come soon, LocalLLMers rejoice ! | 6 | [https://spectrum.ieee.org/ai-models-locally](https://spectrum.ieee.org/ai-models-locally) | 2025-12-24T12:26:56 | https://www.reddit.com/r/LocalLLaMA/comments/1pum96n/better_times_will_come_soon_localllmers_rejoice/ | DevelopmentBorn3978 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pum96n | false | null | t3_1pum96n | /r/LocalLLaMA/comments/1pum96n/better_times_will_come_soon_localllmers_rejoice/ | false | false | self | 6 | {'enabled': False, 'images': [{'id': 'YBPzJep1mD549XJHVp18ZW7DHhIsK9x6plz2MMGxFBA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/YBPzJep1mD549XJHVp18ZW7DHhIsK9x6plz2MMGxFBA.png?width=108&crop=smart&auto=webp&s=b2fcb647b3f059cb05985293b7f1d7817d9d790e', 'width': 108}, {'height': 108, 'url': 'h... |
An Open Source AI assistant for MacOS - SAM | 6 | Hello everyone! I have released an AI assistant application for MacOS called Synthetic Autonomic Mind (SAM). SAM is a native AI helper application that supports local models using llama.cpp and mlx, or remote models via GitHub Copilot, Deepseek, etc.
There are a ton of built-in tools including image generation with ... | 2025-12-24T12:12:35 | https://www.reddit.com/r/LocalLLaMA/comments/1pum077/an_open_source_ai_assistant_for_macos_sam/ | Total-Context64 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pum077 | false | null | t3_1pum077 | /r/LocalLLaMA/comments/1pum077/an_open_source_ai_assistant_for_macos_sam/ | false | false | self | 6 | {'enabled': False, 'images': [{'id': 'fSuqfT66lFRPS9tu7pT2xwdr7oQMUFs-esa4GEDwS2U', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/fSuqfT66lFRPS9tu7pT2xwdr7oQMUFs-esa4GEDwS2U.png?width=108&crop=smart&auto=webp&s=6937ee4ee11df3e558884f093061c04ce5d16a76', 'width': 108}, {'height': 216, 'url': '... |
Unsloth GLM 4.7 UD-Q2_K_XL or gpt-oss 120b? | 31 | I'm sure that gpt-oss will be much faster but, would the extreme GLM quant be better for general programming and chat? Anyone tried? Downloading them as of now. RTX3090 + 128GB of DDR4 3600 | 2025-12-24T11:57:54 | https://www.reddit.com/r/LocalLLaMA/comments/1pulqzt/unsloth_glm_47_udq2_k_xl_or_gptoss_120b/ | EnthusiasmPurple85 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pulqzt | false | null | t3_1pulqzt | /r/LocalLLaMA/comments/1pulqzt/unsloth_glm_47_udq2_k_xl_or_gptoss_120b/ | false | false | self | 31 | null |
Hmm all reference to open-sourcing has been removed for Minimax M2.1... | 230 | Funny how yesterday this page [https://www.minimax.io/news/minimax-m21](https://www.minimax.io/news/minimax-m21) had a statement that weights would be open-sourced on Huggingface and even a discussion of how to run locally on vLLM and SGLang. There was even a (broken but soon to be functional) HF link for the repo...
... | 2025-12-24T11:48:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pullo0/hmm_all_reference_to_opensourcing_has_been/ | Responsible_Fig_1271 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pullo0 | false | null | t3_1pullo0 | /r/LocalLLaMA/comments/1pullo0/hmm_all_reference_to_opensourcing_has_been/ | false | false | self | 230 | {'enabled': False, 'images': [{'id': 'GYUWVApHh7WxqJg5euhUy3HbyIqNa4dEj0F1wERAlNc', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/GYUWVApHh7WxqJg5euhUy3HbyIqNa4dEj0F1wERAlNc.png?width=108&crop=smart&auto=webp&s=4690a2c6c474158dd99d2260d5de552df325e5e3', 'width': 108}, {'height': 216, 'url': '... |
AI agents keep failing to parse Ansible/Terraform output. Built a CLI that returns JSON instead. | 2 | I've been running local LLMs as infrastructure agents and kept hitting the same wall: they can't reliably parse traditional DevOps tool outputs.
**The Problem:**
When you ask an AI agent to check if nginx is running:
# Agent runs this:
result = subprocess.run(['systemctl', 'status', 'nginx'], capture_output=... | 2025-12-24T11:24:55 | https://www.reddit.com/r/LocalLLaMA/comments/1pul85k/ai_agents_keep_failing_to_parse_ansibleterraform/ | smille69 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pul85k | false | null | t3_1pul85k | /r/LocalLLaMA/comments/1pul85k/ai_agents_keep_failing_to_parse_ansibleterraform/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'qM_DA9oX4r1MrstuCNOUcq3nxwa5S1OmdsQ4LLgT8g4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/qM_DA9oX4r1MrstuCNOUcq3nxwa5S1OmdsQ4LLgT8g4.png?width=108&crop=smart&auto=webp&s=99a0457da4bd54b977a493ab8247e55a31a647bb', 'width': 108}, {'height': 108, 'url': 'h... |
Auralis Enhanced - Ultra fast Local TTS OpenAI API endpoint compatible. Low VRAM | 0 | # 🚀 What is Auralis Enhanced?
[](https://github.com/groxaxo/Auralis-Enhanced#-what-is-auralis-enhanced)
**Auralis Enhanced** is a production-ready fork of the original Auralis TTS engine, optimized for network deployment and real-world server usage. This version includes comprehensive deployment documentation, netwo... | 2025-12-24T11:15:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pul2sn/auralis_enhanced_ultra_fast_local_tts_openai_api/ | SlightPossibility331 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pul2sn | false | null | t3_1pul2sn | /r/LocalLLaMA/comments/1pul2sn/auralis_enhanced_ultra_fast_local_tts_openai_api/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'e_tKlArEKxtqaQEb1mUvh560TW7oMWLKad_svg9WcBk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/e_tKlArEKxtqaQEb1mUvh560TW7oMWLKad_svg9WcBk.png?width=108&crop=smart&auto=webp&s=7f8a274394c4033f3c189d7f4e64ff0bc541b36f', 'width': 108}, {'height': 108, 'url': 'h... |
A Garlic Farmer Experimenting with Indirect Orchestration of Multiple LLMs Through Sandbox Code Interpreter - Using Only a Smartphone, No PC | 16 | Hello everyone.
I am a garlic farmer from South Korea. I don't speak English well, and currently I am talking with AI using only my smartphone, without any PC.
(Sorry for my English - I'm translating from Korean as I go. Please be patient with me.)
Over the past 2 years, I have been using as many major general-purpose ... | 2025-12-24T11:02:56 | https://www.reddit.com/r/LocalLLaMA/comments/1pukvnr/a_garlic_farmer_experimenting_with_indirect/ | amadale | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pukvnr | false | null | t3_1pukvnr | /r/LocalLLaMA/comments/1pukvnr/a_garlic_farmer_experimenting_with_indirect/ | false | false | self | 16 | null |
Stop guessing why your RAG fails. I built a tool to visualize semantic coverage. | 0 | **Repo:**[https://github.com/aashirpersonal/semantic-coverage](https://github.com/aashirpersonal/semantic-coverage)
**The Problem:** We track **Code Coverage** to prevent bugs, but for RAG (Retrieval Augmented Generation), most of us are flying blind.
* I’d ship a bot.
* Users would ask questions.
* The bot would hal... | 2025-12-24T11:00:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pukub8/stop_guessing_why_your_rag_fails_i_built_a_tool/ | Federal_Floor7900 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pukub8 | false | null | t3_1pukub8 | /r/LocalLLaMA/comments/1pukub8/stop_guessing_why_your_rag_fails_i_built_a_tool/ | false | false | self | 0 | null |
Local LLM’s - Are they worth it? | 0 | I’m looking at building a new rig to run local LLM’s, likely pairing it with Open Webui. Nothing too crazy by any means, just a modest setup which should cover all my needs (RTX 5060ti to be precise).
The question is, how have you found running models locally?
Which models are you enjoying most/ getting the most be... | 2025-12-24T10:40:35 | https://www.reddit.com/r/LocalLLaMA/comments/1pukivg/local_llms_are_they_worth_it/ | TnPX2G | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pukivg | false | null | t3_1pukivg | /r/LocalLLaMA/comments/1pukivg/local_llms_are_they_worth_it/ | false | false | self | 0 | null |
Does yapping nonsense in the reasoning phase still improve results? | 2 | I see that smaller models like Nemotron-30B in their „thinking” phase have tendency to hallucinate a lot. Saying things like they are ChatGPT or yapping about some tasks or instructions that are not part of the context window. But despite of that the results like tool calling usage or final answers are not that bad, ev... | 2025-12-24T10:37:32 | https://www.reddit.com/r/LocalLLaMA/comments/1pukh4z/does_yapping_nonsense_in_the_reasoning_phase/ | kiockete | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pukh4z | false | null | t3_1pukh4z | /r/LocalLLaMA/comments/1pukh4z/does_yapping_nonsense_in_the_reasoning_phase/ | false | false | self | 2 | null |
Jeff Bezos spent billions to buy "Ace." I got bored and recreated it on my 8GB RAM macbook air | 0 | Since General Agents got sucked into Bezos/Prometheus, I wanted to see if a "supersonic" agent could actually run on poverty spec hardware. I used a hybrid local/cloud approach with speculative caching to keep the M2 from melting. It’s 100% Swift. I'm at a crossroads: do I open source this or is there a specific use ... | 2025-12-24T09:15:53 | https://www.reddit.com/r/LocalLLaMA/comments/1puj7yk/jeff_bezos_spent_billions_to_buy_ace_i_got_bored/ | AABBCCDD918273 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puj7yk | false | null | t3_1puj7yk | /r/LocalLLaMA/comments/1puj7yk/jeff_bezos_spent_billions_to_buy_ace_i_got_bored/ | false | false | self | 0 | null |
How to safely let LLMs query your databases: 5 Essential Layers | 0 | Most AI agents need access to structured data (CRMs, databases, warehouses), but giving them database access is a security nightmare. Having worked with companies on deploying agents in production environments, I'm sharing an architecture overview of what's been most useful- hope this helps!
**Layer 1: Data Sources** ... | 2025-12-24T08:23:29 | Better-Department662 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1puif2l | false | null | t3_1puif2l | /r/LocalLLaMA/comments/1puif2l/how_to_safely_let_llms_query_your_databases_5/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'o14ujhu9349g1', 'resolutions': [{'height': 87, 'url': 'https://preview.redd.it/o14ujhu9349g1.png?width=108&crop=smart&auto=webp&s=36e7f74cdb5ff8437ea30604e49dffcde3604151', 'width': 108}, {'height': 174, 'url': 'https://preview.redd.it/o14ujhu9349g1.png?width=216&crop=smart&auto=web... | |
AprielGuard: an 8B-parameter open-source safeguard model | 1 | [removed] | 2025-12-24T08:19:05 | Dear-Success-1441 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1puiclf | false | null | t3_1puiclf | /r/LocalLLaMA/comments/1puiclf/aprielguard_an_8bparameter_opensource_safeguard/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'vogq8ibz149g1', 'resolutions': [{'height': 57, 'url': 'https://preview.redd.it/vogq8ibz149g1.png?width=108&crop=smart&auto=webp&s=888ec8d762fb0ecbd9a3513253ab152748b6eb5d', 'width': 108}, {'height': 115, 'url': 'https://preview.redd.it/vogq8ibz149g1.png?width=216&crop=smart&auto=web... | |
1-year Perplexity Pro access for $5.99 | 0 | Hi, I’m offering **1-year Perplexity Pro access for $4**
🔹 Legit activation via official Perplexity link
🔹 Works worldwide
🔹 No VPN / no card required
🔹 Personal account (not shared)
📌 Why so cheap?
These are bulk enterprise activations reselling , which is why I can offer them at a lower price.
✅ Proof... | 2025-12-24T08:09:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pui733/1year_perplexity_pro_access_for_599/ | ManyLatter631 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pui733 | false | null | t3_1pui733 | /r/LocalLLaMA/comments/1pui733/1year_perplexity_pro_access_for_599/ | false | false | self | 0 | null |
Watch Qwen 3 Max (thinking enabled) jailbreak itself | 1 | not really something about opensource models, there isn't much i wanna add other than the fact that it's hallucinating a lot now which is normal enough for jailbreaks, but this guy here has almost a trillion parameters and best model in qwen 3 family, here's the chat link -
[https://chat.qwen.ai/s/e73f8f38-4236-4226-... | 2025-12-24T07:43:39 | https://www.reddit.com/r/LocalLLaMA/comments/1puhsdo/watch_qwen_3_max_thinking_enabled_jailbreak_itself/ | Acceptable_Home_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puhsdo | false | null | t3_1puhsdo | /r/LocalLLaMA/comments/1puhsdo/watch_qwen_3_max_thinking_enabled_jailbreak_itself/ | false | false | self | 1 | null |
Now you can run local LLM inference with formal privacy guarantees | 0 | We posted about our work on **differentially private inference with LLMs**
[https://arxiv.org/abs/2507.04531](https://arxiv.org/abs/2507.04531)
A lot of you asked for a pip package, so here we are, because we care about your privacy 🫡
It allows anyone to run **differentially private inference with local LLMs** wit... | 2025-12-24T07:28:22 | IIITDkaLaunda | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1puhjqk | false | null | t3_1puhjqk | /r/LocalLLaMA/comments/1puhjqk/now_you_can_run_local_llm_inference_with_formal/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'fb8lnvwns39g1', 'resolutions': [{'height': 38, 'url': 'https://preview.redd.it/fb8lnvwns39g1.png?width=108&crop=smart&auto=webp&s=6f29365e8edfaaeec1d6438e3e76ba19bc8abd77', 'width': 108}, {'height': 76, 'url': 'https://preview.redd.it/fb8lnvwns39g1.png?width=216&crop=smart&auto=webp... | |
Ryzen 395 128GB Bosgame | 9 | Hi can somebody tell me exactly what steps in short for I need to do to get for eg running on Ubuntu 24.04
Eg
1) Bios set to 512mB?
2) set environment variable to …
3) …
I will get my machine after Christmas and just want to be ready to use it
Thanks | 2025-12-24T07:15:25 | https://github.com/BillyOutlast/rocm-automated | Septa105 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1puhc65 | false | null | t3_1puhc65 | /r/LocalLLaMA/comments/1puhc65/ryzen_395_128gb_bosgame/ | false | false | default | 9 | {'enabled': False, 'images': [{'id': 'Qj7qNurNBqQMl9Mg1y12AddG6q2ncv3A06z3HsTAnH8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Qj7qNurNBqQMl9Mg1y12AddG6q2ncv3A06z3HsTAnH8.png?width=108&crop=smart&auto=webp&s=5a783dc157ae14a68c0ea9f95f79de95bea46c4c', 'width': 108}, {'height': 108, 'url': 'h... |
Tool to auto-optimize LLM training/inference configs ($10 GPU credits for testers) | 0 | I have built a tool that auto-optimizes ML/AI code—no manual config tuning. We make your code run faster to save you money on your cloud bill.
Idea: You enter your code in our online IDE and click run, let us handle the rest.
Beta: 6 GPU types, PyTorch support, and $10 free compute credits.
For folks here:
* What w... | 2025-12-24T07:15:14 | https://www.reddit.com/r/LocalLLaMA/comments/1puhc2f/tool_to_autooptimize_llm_traininginference/ | Impressive-Law2516 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puhc2f | false | null | t3_1puhc2f | /r/LocalLLaMA/comments/1puhc2f/tool_to_autooptimize_llm_traininginference/ | false | false | self | 0 | null |
Tool to auto-optimize PyTorch training configs ($10 free compute) – what workloads would you try? | 1 | I have built a tool that auto-optimizes ML/AI code—no manual config tuning. We make your code run faster to save you money on your cloud bill.
Idea: You enter your code in our online IDE and click run, let us handle the rest.
Beta: 6 GPU types, PyTorch support, and $10 free compute credits.
For folks here:
* What w... | 2025-12-24T07:12:33 | https://www.reddit.com/r/LocalLLaMA/comments/1puhahc/tool_to_autooptimize_pytorch_training_configs_10/ | Impressive-Law2516 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puhahc | false | null | t3_1puhahc | /r/LocalLLaMA/comments/1puhahc/tool_to_autooptimize_pytorch_training_configs_10/ | false | false | self | 1 | null |
[Follow-up] GLM 4.7 vs Minimax M2.1 - A Discovery That Might Explain the Poor GLM Performance | 76 | Following up on my previous post comparing [GLM 4.7 and Minimax M2.1](https://www.reddit.com/r/LocalLLaMA/comments/1ptq7rc/glm_47_vs_minimax_m21_my_test_subscription/) on a task.
First, I got some valid feedback on the comments saying that this sub is specifically about local models, not API subscriptions. Fair point... | 2025-12-24T06:59:18 | https://www.reddit.com/r/LocalLLaMA/comments/1puh2lw/followup_glm_47_vs_minimax_m21_a_discovery_that/ | Psychological_Box406 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puh2lw | false | null | t3_1puh2lw | /r/LocalLLaMA/comments/1puh2lw/followup_glm_47_vs_minimax_m21_a_discovery_that/ | false | false | 76 | null | |
can we stop calling GLM-4.6V the "new Air" already?? it's a different brain. | 13 | I keep seeing these comments saying 4.6V is just 4.6 Air with "free eyes" attached. guys, thats not how VLMs work and it's honestly a bit of a facepalm for anyone who knows how these things are trained lol.
the **vision tax** is real look, when you train a vision model, you dont just plug a camera into a text model. t... | 2025-12-24T06:39:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pugqcj/can_we_stop_calling_glm46v_the_new_air_already/ | ThetaCursed | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pugqcj | false | null | t3_1pugqcj | /r/LocalLLaMA/comments/1pugqcj/can_we_stop_calling_glm46v_the_new_air_already/ | false | false | self | 13 | null |
The current state of sparse-MoE's for agentic coding work (Opinion) | 258 | 2025-12-24T06:31:19 | ForsookComparison | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1puglt8 | false | null | t3_1puglt8 | /r/LocalLLaMA/comments/1puglt8/the_current_state_of_sparsemoes_for_agentic/ | false | false | default | 258 | {'enabled': True, 'images': [{'id': 'a8f2furcj39g1', 'resolutions': [{'height': 84, 'url': 'https://preview.redd.it/a8f2furcj39g1.jpeg?width=108&crop=smart&auto=webp&s=d15d8865a89475ae1d7909045f5c6c5bbe43529a', 'width': 108}, {'height': 169, 'url': 'https://preview.redd.it/a8f2furcj39g1.jpeg?width=216&crop=smart&auto=w... | ||
Built Lynkr - Use Claude Code CLI with any LLM provider (Databricks, Azure OpenAI, OpenRouter, Ollama) | 0 | Hey everyone! 👋
I'm a software engineer who's been using Claude Code CLI heavily, but kept running into situations where I needed to use different LLM providers - whether it's Azure OpenAI for work compliance, Databricks for our existing infrastructure, or Ollama for local development.
So I built **Lynkr** \- an ope... | 2025-12-24T06:28:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pugk8b/built_lynkr_use_claude_code_cli_with_any_llm/ | Dangerous-Dingo-5169 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pugk8b | false | null | t3_1pugk8b | /r/LocalLLaMA/comments/1pugk8b/built_lynkr_use_claude_code_cli_with_any_llm/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'oJC4OqdyATvWgvvqeoBcBZuj7dexEFVIwTrmS8ZPIio', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/oJC4OqdyATvWgvvqeoBcBZuj7dexEFVIwTrmS8ZPIio.png?width=108&crop=smart&auto=webp&s=1842d065d7c06db329912c41911ed1780d322750', 'width': 108}, {'height': 108, 'url': 'h... |
[Showcase] Building a stable Three.js Horror Engine using 392 AI-Learned Patterns | 0 | \[Showcase\] Building a stable Three.js Horror Engine using 392 AI-Learned Patterns
**Body Text:** I wanted to share my latest progress on **DOOM JS**. The biggest challenge was forcing AI agents to maintain a consistent "Dark Protocol" without them constantly guessing or reverting to default settings.
**How it works... | 2025-12-24T06:27:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pugjkf/showcase_building_a_stable_threejs_horror_engine/ | Alone-Competition863 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pugjkf | false | null | t3_1pugjkf | /r/LocalLLaMA/comments/1pugjkf/showcase_building_a_stable_threejs_horror_engine/ | false | false | self | 0 | null |
Self Hosted Alternative to NotebookLM | 15 | https://reddit.com/link/1puggfm/video/pai9spouh39g1/player
For those of you who aren't familiar with SurfSense, it aims to be one of the open-source alternative to NotebookLM but connected to extra data sources.
In short, it's a Highly Customizable AI Research Agent that connects to your personal external sources ... | 2025-12-24T06:22:30 | https://www.reddit.com/r/LocalLLaMA/comments/1puggfm/self_hosted_alternative_to_notebooklm/ | Uiqueblhats | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puggfm | false | null | t3_1puggfm | /r/LocalLLaMA/comments/1puggfm/self_hosted_alternative_to_notebooklm/ | false | false | 15 | {'enabled': False, 'images': [{'id': 'VQoBiFueOCMY1op6qhV-TxY7TpiBx_VDJmILmMOmfX0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/VQoBiFueOCMY1op6qhV-TxY7TpiBx_VDJmILmMOmfX0.png?width=108&crop=smart&auto=webp&s=fa52d17e35b10d96f809c0022dc29547d6d15b08', 'width': 108}, {'height': 108, 'url': 'h... | |
RAG Paper 25.12.23 | 1 | 1. [MemR$\^3$: Memory Retrieval via Reflective Reasoning for LLM Agents](http://arxiv.org/abs/2512.20237v1)
2. [FaithLens: Detecting and Explaining Faithfulness Hallucination](http://arxiv.org/abs/2512.20182v1)
3. [Retrieval-augmented Prompt Learning for Pre-trained Foundation Models](http://arxiv.org/abs/2512.20145v1)... | 2025-12-24T06:15:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pugbsi/rag_paper_251223/ | Cheryl_Apple | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pugbsi | false | null | t3_1pugbsi | /r/LocalLLaMA/comments/1pugbsi/rag_paper_251223/ | false | false | self | 1 | null |
DOOM JS - Master Protocol: Systematic AI Evolution (400 Patterns) | 0 | This Christmas release represents a breakthrough in AI-driven development. By merging the collective intelligence of DeepSeek, Claude, and Perplexity into a library of 400 **learned patterns**, I have eliminated random guessing and hallucinations.
What you see is a strictly governed horror engine:
* **Atmosphere:** D... | 2025-12-24T05:36:57 | https://v.redd.it/xowdx0vd939g1 | Alone-Competition863 | /r/LocalLLaMA/comments/1pufnvo/doom_js_master_protocol_systematic_ai_evolution/ | 1970-01-01T00:00:00 | 0 | {} | 1pufnvo | false | null | t3_1pufnvo | /r/LocalLLaMA/comments/1pufnvo/doom_js_master_protocol_systematic_ai_evolution/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'bndzZ3NkMmU5MzlnMQpHkqJe4EhnCoJ9VzNKO0zpC9YcnnCThFB-jTIXDZe8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/bndzZ3NkMmU5MzlnMQpHkqJe4EhnCoJ9VzNKO0zpC9YcnnCThFB-jTIXDZe8.png?width=108&crop=smart&format=pjpg&auto=webp&s=396c36ce22873a9c5208b6cdae81ae9197eb6... | |
Let's predict GLM Air | 1 | Questions about GLM Air were not answered in the recent AMA.
What is your prediction about the future of GLM Air?
[View Poll](https://www.reddit.com/poll/1pufhgk) | 2025-12-24T05:26:38 | https://www.reddit.com/r/LocalLLaMA/comments/1pufhgk/lets_predict_glm_air/ | jacek2023 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pufhgk | false | null | t3_1pufhgk | /r/LocalLLaMA/comments/1pufhgk/lets_predict_glm_air/ | false | false | self | 1 | null |
New 1B parameter open-source coding model getting 76% on HumanEval [shameless but proud self-plug] | 270 | Hey folks, merry festive season to you all. Hope you are staying safe!
Wanted to share a new open-source coding model release that might be interesting to yall here. My team proudly published it this morning..(we are a small start up out of Australia)
It’s called Maincoder-1B... a 1B-parameter code generation mo... | 2025-12-24T05:08:56 | https://www.reddit.com/r/LocalLLaMA/comments/1puf614/new_1b_parameter_opensource_coding_model_getting/ | More_Article9837 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puf614 | false | null | t3_1puf614 | /r/LocalLLaMA/comments/1puf614/new_1b_parameter_opensource_coding_model_getting/ | false | false | self | 270 | {'enabled': False, 'images': [{'id': '9_YN_fMenGGkXIhsdYbddz0BA3CURdMrLkCfztzzQK0', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/9_YN_fMenGGkXIhsdYbddz0BA3CURdMrLkCfztzzQK0.png?width=108&crop=smart&auto=webp&s=9e1798df99c45938fce63b6986d172e159e5b1a0', 'width': 108}, {'height': 116, 'url': 'h... |
Buy or skip new laptop for local llm, programming, etc | 3 |
Hi everyone,
I own a second hand asus tuf amd, nvdia GTX 1650. It has windows with 2 users (main and gaming), isolated gaming to prevent me from over playing. Main has personal professional stuff. This laptop is fine for now while I am confused, if whether should I buy new laptop, can expend upto 8k per month - can ai... | 2025-12-24T05:05:01 | https://www.reddit.com/r/LocalLLaMA/comments/1puf3hy/buy_or_skip_new_laptop_for_local_llm_programming/ | SafeAmazing8507 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puf3hy | false | null | t3_1puf3hy | /r/LocalLLaMA/comments/1puf3hy/buy_or_skip_new_laptop_for_local_llm_programming/ | false | false | self | 3 | null |
MiraTTS Docker FastAPI server | 10 | I wrote a dockerized FastAPI wrapper for MiraTTS. It exposes OpenAI-compatible endpoints so you can use it into existing LLM frontends.
Since MiraTTS doesn't support native streaming yet, I implemented a custom text chunker. It splits long inputs into safe segments, batches them for the GPU, and stitches the output to... | 2025-12-24T04:34:30 | https://www.reddit.com/r/LocalLLaMA/comments/1puejhe/miratts_docker_fastapi_server/ | EmotionalWillow70 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puejhe | false | null | t3_1puejhe | /r/LocalLLaMA/comments/1puejhe/miratts_docker_fastapi_server/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': 'sHTe9SC7uWZycV3ib_ofvD5OwBf8GALHodTpkFsqF-o', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/sHTe9SC7uWZycV3ib_ofvD5OwBf8GALHodTpkFsqF-o.png?width=108&crop=smart&auto=webp&s=5594642d13381f306a9f627e97071a65eb869c31', 'width': 108}, {'height': 108, 'url': 'h... |
I built an open-source AI security platform with 121 detection engines AND a red team toolkit with 39,000+ payloads | 17 | **TL;DR:** After 2 years of development, I'm releasing SENTINEL — a complete AI security suite that both protects your LLMs in production AND lets you pentest them before deployment. Free Community Edition, open source.
# The Problem
We're all deploying LLMs everywhere — chatbots, agents, RAG systems, autonomous work... | 2025-12-24T04:26:16 | https://www.reddit.com/r/LocalLLaMA/comments/1puee2h/i_built_an_opensource_ai_security_platform_with/ | ParticularSubject966 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puee2h | false | null | t3_1puee2h | /r/LocalLLaMA/comments/1puee2h/i_built_an_opensource_ai_security_platform_with/ | false | false | self | 17 | null |
Looking for private/small Discords for local AI companion builders (safe self-improvement focus) — advice? | 4 | Hi everyone,
I'm working on a personal, local-only AI companion project (Ollama-based, persistent memory, manual code approval loop for safety, planning future world-model training).
I want to connect with others doing similar things (self-improving agents, safe RSI on consumer hardware, companion-focused tinkering... | 2025-12-24T04:05:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pue075/looking_for_privatesmall_discords_for_local_ai/ | Billybobster21 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pue075 | false | null | t3_1pue075 | /r/LocalLLaMA/comments/1pue075/looking_for_privatesmall_discords_for_local_ai/ | false | false | self | 4 | null |
Day 16: 21 Days of Building a Small Language Model: Choosing the right optimizer for Your LLM | 4 | For years, when training large language models, the default choice of optimizer has been AdamW. It's been the industry standard, the go-to option that everyone uses, the optimizer that's built into every framework and recommended in every tutorial. AdamW has powered the training of countless models, from GPT to LLaMA t... | 2025-12-24T04:04:01 | https://www.reddit.com/r/LocalLLaMA/comments/1pudz31/day_16_21_days_of_building_a_small_language_model/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pudz31 | false | null | t3_1pudz31 | /r/LocalLLaMA/comments/1pudz31/day_16_21_days_of_building_a_small_language_model/ | false | false | 4 | null | |
How do you handle complex tables in local RAG? (Using Llama 3/Docker setup) | 0 | I've been working on a local-first "Second Brain" for my engineering docs because I can't use OpenAI for NDA-protected datasheets.
**The Problem:** Even with Llama 3 (8B) and ChromaDB, parsing engineering tables is still a nightmare. I’ve tried converting PDF to Markdown first, which helped a bit, but schematics are s... | 2025-12-24T03:50:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pudpff/how_do_you_handle_complex_tables_in_local_rag/ | Prize_Analyst_7006 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pudpff | false | null | t3_1pudpff | /r/LocalLLaMA/comments/1pudpff/how_do_you_handle_complex_tables_in_local_rag/ | false | false | self | 0 | null |
I built Plano(A3B): most efficient LLMs for agent orchestration that exceed frontier model perf | 120 | Hi everyone — I’m on the Katanemo research team. Today we’re thrilled to launch **Plano-Orchestrator**, a new family of LLMs built for fast multi-agent orchestration.
What do these new LLMs do? given a user request and the conversation context, Plano-Orchestrator decides which agent(s) should handle the request and in... | 2025-12-24T03:45:18 | AdditionalWeb107 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pudm4m | false | null | t3_1pudm4m | /r/LocalLLaMA/comments/1pudm4m/i_built_planoa3b_most_efficient_llms_for_agent/ | false | false | default | 120 | {'enabled': True, 'images': [{'id': 'iuaxwr9x529g1', 'resolutions': [{'height': 42, 'url': 'https://preview.redd.it/iuaxwr9x529g1.png?width=108&crop=smart&auto=webp&s=7e86a4b3249d0794dd1889af0189fe766c7cb5ea', 'width': 108}, {'height': 85, 'url': 'https://preview.redd.it/iuaxwr9x529g1.png?width=216&crop=smart&auto=webp... | |
What server setups scale for 60 devs + best air gapped coding chat assistant for Visual Studio (not VS Code)? | 0 | Hi all 👋,
I need community input on infrastructure and tooling for a team of about 60 developers. I want to make sure we pick the right setup and tools that stay private and self hosted.
1) **Server / infra suggestions**
We have an on premise server for internal use with 64GB RAM right now. It is upgradable(more R... | 2025-12-24T03:40:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pudir2/what_server_setups_scale_for_60_devs_best_air/ | SpheronInc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pudir2 | false | null | t3_1pudir2 | /r/LocalLLaMA/comments/1pudir2/what_server_setups_scale_for_60_devs_best_air/ | false | false | self | 0 | null |
Are tokens homogeneous - and to what level. | 0 | Really liking minstrel (most solid I’ve had so far on my 64gig m4pro), and just got it plugged into open-notebook via lmstudio, just started but looking good. My question is… are there any opportunities to hit a big fast machine to generate a token-bed for a product, or document set, and then hit that token-bed with l... | 2025-12-24T02:51:28 | https://www.reddit.com/r/LocalLLaMA/comments/1puckws/are_tokens_homogeneous_and_to_what_level/ | Wishitweretru | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puckws | false | null | t3_1puckws | /r/LocalLLaMA/comments/1puckws/are_tokens_homogeneous_and_to_what_level/ | false | false | self | 0 | null |
Is there a repository of Vulkan dockers ? | 1 | having a 6700XT GPU , I was looking at speeding up my local setup with llama.cpp and openweb UI .
But currently using :
llama.cpp -ROCM using (https://github.com/likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU)
* whisper local - cpu within openweb UI
* Fast Kokoro - cpu (docker)
* Openweb UI - cpu (docker)
* ... | 2025-12-24T02:26:35 | https://www.reddit.com/r/LocalLLaMA/comments/1puc31k/is_there_a_repository_of_vulkan_dockers/ | uber-linny | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puc31k | false | null | t3_1puc31k | /r/LocalLLaMA/comments/1puc31k/is_there_a_repository_of_vulkan_dockers/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'R5uJiNrxmDOkSon6GHSLT96-_Y9SLntimyFvV0BBLhI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/R5uJiNrxmDOkSon6GHSLT96-_Y9SLntimyFvV0BBLhI.png?width=108&crop=smart&auto=webp&s=e7eb73e73ee23bc91faaa78da99452a47f7b87ac', 'width': 108}, {'height': 108, 'url': 'h... |
Best model for Japanese to English? | 19 | Title. I'm using mangaOCR for capturing text from images and it's pretty damn accurate. But now I want to know what the best model for translation is.
I would like something on the smaller side if possible so below 20b would be preferable. But if something is 20b or just slightly above it then that would be fine. | 2025-12-24T02:14:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pubu7x/best_model_for_japanese_to_english/ | Red2005dragon | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pubu7x | false | null | t3_1pubu7x | /r/LocalLLaMA/comments/1pubu7x/best_model_for_japanese_to_english/ | false | false | self | 19 | null |
New tool to manage models and quantizations | 8 | Hi, i have been working on a tool to manage foundation models and quantizations from them. the goal is make them consistent, reproducible and save storage. It works now, so feedback would be good.
The current implementation can ingest any safetensors model and on demand generate a q2\_k to q6\_k gguf file. Non unif... | 2025-12-24T01:46:21 | https://www.reddit.com/r/LocalLLaMA/comments/1pubadw/new_tool_to_manage_models_and_quantizations/ | Anxious-Visit-7735 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pubadw | false | null | t3_1pubadw | /r/LocalLLaMA/comments/1pubadw/new_tool_to_manage_models_and_quantizations/ | false | false | self | 8 | null |
We’re running limited tests for an experimental, governed AI system (Discord) | 1 | [removed] | 2025-12-24T01:28:51 | https://disboard.org/server/1421293144288530565 | OkIntern5763 | disboard.org | 1970-01-01T00:00:00 | 0 | {} | 1puaxfn | false | null | t3_1puaxfn | /r/LocalLLaMA/comments/1puaxfn/were_running_limited_tests_for_an_experimental/ | false | false | default | 1 | null |
Should I get a founder's edition 3090 or a zotac? Are 3090s taken from prebuilt PCs like Alienware any good? | 0 | Bottom text | 2025-12-24T00:42:59 | https://www.reddit.com/r/LocalLLaMA/comments/1pu9z4q/should_i_get_a_founders_edition_3090_or_a_zotac/ | IronLover64 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu9z4q | false | null | t3_1pu9z4q | /r/LocalLLaMA/comments/1pu9z4q/should_i_get_a_founders_edition_3090_or_a_zotac/ | false | false | self | 0 | null |
Should I get a founder's edition 3090 or a zotac? | 0 | Bottom text | 2025-12-24T00:38:39 | https://www.reddit.com/r/LocalLLaMA/comments/1pu9vrv/should_i_get_a_founders_edition_3090_or_a_zotac/ | IronLover64 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu9vrv | false | null | t3_1pu9vrv | /r/LocalLLaMA/comments/1pu9vrv/should_i_get_a_founders_edition_3090_or_a_zotac/ | false | false | self | 0 | null |
Easiest way to start with self-hosted models! | 0 | How to connect your own local AI models to your personal AI & Automation Control center in basically 20 clicks.
1. Log in to Navigator
2. Download LM Studio
3. Download a local model that fits your device
4. Create a Pinggy account
5. Copy the localhost URL from LM Studio into Pinggy
6. Follow Pinggy’s setup ste... | 2025-12-23T23:57:05 | https://beta.keinsaas.com | Keinsaas | beta.keinsaas.com | 1970-01-01T00:00:00 | 0 | {} | 1pu8zod | false | null | t3_1pu8zod | /r/LocalLLaMA/comments/1pu8zod/easiest_way_to_start_with_selfhosted_models/ | false | false | default | 0 | null |
I wrote an interactive blog post teaching how tokenization, embeddings, and vector search work in-browser with Transformers.js | 28 | I want to be up front that the post is entirely built with AI, as is the copy. However, I feel like if creating blog posts is this easy, we are obligated to transfer the saved effort into maximizing the learning potential of our content.
So, this post includes an interactive lab that hopefully will find worth your ti... | 2025-12-23T23:56:52 | https://mike.dev/blog/transformersjs-embeddings-lab/ | mike_dot_dev | mike.dev | 1970-01-01T00:00:00 | 0 | {} | 1pu8zj3 | false | null | t3_1pu8zj3 | /r/LocalLLaMA/comments/1pu8zj3/i_wrote_an_interactive_blog_post_teaching_how/ | false | false | default | 28 | {'enabled': False, 'images': [{'id': 'XlQcYLikCRIkdRlT2ds5M1FMprcLdYd0_75yS7-q-1A', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/XlQcYLikCRIkdRlT2ds5M1FMprcLdYd0_75yS7-q-1A.png?width=108&crop=smart&auto=webp&s=0fc94b21b9e184ec9c9b0cb9e6a07fa655c26cfc', 'width': 108}, {'height': 113, 'url': 'h... |
Model for OCRing music scores? | 2 | I am looking for a model that will faithfully OCR music scores inty Lilypond or the like, so they can be transposed or otherwise programmatically edited from there. Open source preferred but not critical.
Qwen 235b VL Instruct came the closest in my tests, but just can't place things in the right octaves. Others I tri... | 2025-12-23T23:53:19 | https://www.reddit.com/r/LocalLLaMA/comments/1pu8ws8/model_for_ocring_music_scores/ | ramendik | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu8ws8 | false | null | t3_1pu8ws8 | /r/LocalLLaMA/comments/1pu8ws8/model_for_ocring_music_scores/ | false | false | self | 2 | null |
I built all this and don't know what to do i need advice | 1 | [removed] | 2025-12-23T23:28:39 | https://www.reddit.com/r/LocalLLaMA/comments/1pu8dxa/i_built_all_this_and_dont_know_what_to_do_i_need/ | BenBarnes1331 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu8dxa | false | null | t3_1pu8dxa | /r/LocalLLaMA/comments/1pu8dxa/i_built_all_this_and_dont_know_what_to_do_i_need/ | false | false | self | 1 | null |
What to do with 2 P100 | 2 | I ended up with 2 cheap p100 in a lot of 4 GPUs. The other 2 cards were old gaming gpu that I will use a backup or resell. The Tesla were untested.
I know driver support is over and security will follow soon and that there are no tensor core. I have a 6800xt in my main PC, so no cuda there either.
I have a test ben... | 2025-12-23T23:17:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pu84y3/what_to_do_with_2_p100/ | SaGa31500 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu84y3 | false | null | t3_1pu84y3 | /r/LocalLLaMA/comments/1pu84y3/what_to_do_with_2_p100/ | false | false | self | 2 | null |
How much storage does all local llms take in ollama | 0 | 2025-12-23T23:08:03 | https://www.reddit.com/r/LocalLLaMA/comments/1pu7xl0/how_much_storage_does_all_local_llms_take_in/ | AvailableRow3815 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu7xl0 | false | null | t3_1pu7xl0 | /r/LocalLLaMA/comments/1pu7xl0/how_much_storage_does_all_local_llms_take_in/ | false | false | 0 | null | ||
Thoughts on DGX Spark as a macOS Companion: Two Months Later | 146 | I have been using the NVIDIA DGX Spark in tandem with my Mac for about two months now.
Given the active discussions about its specs and price, I want to share my personal,
subjective observations on who this device might be for and who it might not be.
## My Context: I Simply Don't Have CUDA on Mac
I've been working ... | 2025-12-23T22:58:04 | https://www.reddit.com/gallery/1pu7pfi | PropellerheadViJ | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pu7pfi | false | null | t3_1pu7pfi | /r/LocalLLaMA/comments/1pu7pfi/thoughts_on_dgx_spark_as_a_macos_companion_two/ | false | false | 146 | null | |
Thoughts on DGX Spark as a macOS Companion: Two Months Later | 0 | I have been using the NVIDIA DGX Spark in tandem with my Mac for about two months now.
Given the active discussions about its specs and price, I want to share my personal,
subjective observations on who this device might be for and who it might not be.
## My Context: I Simply Don't Have CUDA on Mac
I've been working ... | 2025-12-23T22:52:48 | https://www.reddit.com/gallery/1pu7l60 | PropellerheadViJ | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pu7l60 | false | null | t3_1pu7l60 | /r/LocalLLaMA/comments/1pu7l60/thoughts_on_dgx_spark_as_a_macos_companion_two/ | false | false | 0 | null | |
Which lightweight local anonymization model or workflow to use? | 1 | Hi everyone, I want to have my code and data anonymized locally before using cloud models (Claude). It will be a hassle to make it work and make the changes. However, I am open to hearing recommendations about which model to use, as well as the workflow, if anyone has experience. | 2025-12-23T22:44:16 | https://www.reddit.com/r/LocalLLaMA/comments/1pu7e8f/which_lightweight_local_anonymization_model_or/ | Particular_Exam_1326 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu7e8f | false | null | t3_1pu7e8f | /r/LocalLLaMA/comments/1pu7e8f/which_lightweight_local_anonymization_model_or/ | false | false | self | 1 | null |
Beginner setup ~1k€ | 1 | Hi im relatively new to the whole local LIm Topic. I only have a MacBook Pro with M1 Pro Chip 16gb unified memory. I would like to build my first server in the next 2-3 months. I like the idea of using the mi50s because they are well cheap, and they have downsides,which I'm aware of but I only plan on using models like... | 2025-12-23T22:39:41 | https://www.reddit.com/r/LocalLLaMA/comments/1pu7an9/beginner_setup_1k/ | MastodonParty9065 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu7an9 | false | null | t3_1pu7an9 | /r/LocalLLaMA/comments/1pu7an9/beginner_setup_1k/ | false | false | self | 1 | null |
What is functiongemma used for? | 3 | This might be a silly question, but I’m not exactly sure what the functiongemma model is designed for. It looks useful at a glance, but I’d like to know more about its purpose. | 2025-12-23T22:17:27 | https://www.reddit.com/r/LocalLLaMA/comments/1pu6sa7/what_is_functiongemma_used_for/ | Hopeful_Ferret_2701 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu6sa7 | false | null | t3_1pu6sa7 | /r/LocalLLaMA/comments/1pu6sa7/what_is_functiongemma_used_for/ | false | false | self | 3 | null |
Stop going to boring AI "Networking" events. We’re doing an overnight lock-in in India instead. | 0 | Most AI events in India are the same: bad coffee, 40-minute "thought leader" slide decks, and people trying to sell you a course or a SaaS subscription.
We’re tired of it.
The best conversations about LLMs, agents, and scaling don't happen in conference halls. They happen at 1 AM in a comfort zone, with room full of ... | 2025-12-23T21:32:43 | Ambitious-End1261 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pu5qnr | false | null | t3_1pu5qnr | /r/LocalLLaMA/comments/1pu5qnr/stop_going_to_boring_ai_networking_events_were/ | false | false | 0 | {'enabled': True, 'images': [{'id': '5TIRPN14v4JDxUE37uoGrWfO18CFLhYn905qvwie7Eo', 'resolutions': [{'height': 162, 'url': 'https://preview.redd.it/r0wjnmggv09g1.jpeg?width=108&crop=smart&auto=webp&s=a956b6576bac220e38c19bfcd0d4f1b500c7ca8b', 'width': 108}, {'height': 324, 'url': 'https://preview.redd.it/r0wjnmggv09g1.j... | ||
Has anyone had success writing x86 assembly with a local model? | 21 | I haven't seen anyone do any comparisons. | 2025-12-23T21:28:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pu5mz1/has_anyone_had_success_writing_x86_assembly_with/ | MrMrsPotts | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu5mz1 | false | null | t3_1pu5mz1 | /r/LocalLLaMA/comments/1pu5mz1/has_anyone_had_success_writing_x86_assembly_with/ | false | false | self | 21 | null |
Looking for recent books on building production-grade, scalable AI agents | 1 | I’m looking for recent books that really focus on building production-grade, scalable AI agents.
Specifically interested in books that cover things like:
• Agent architectures and orchestration
• Reliability, monitoring, and evals
• Tool use, memory, and planning at scale
• Deploying agents in real systems
•... | 2025-12-23T21:21:09 | https://www.reddit.com/r/LocalLLaMA/comments/1pu5gt2/looking_for_recent_books_on_building/ | DataScientia | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu5gt2 | false | null | t3_1pu5gt2 | /r/LocalLLaMA/comments/1pu5gt2/looking_for_recent_books_on_building/ | false | false | self | 1 | null |
Optimizing glm 4-7 | 0 | I want to create an optimized setup for glm 4-7, with vllm or sglang (not exactly sure whats the best im used to vllm tho:
\- I can get maximum 2 h200 ( hence i need quantization)
\-most of my prompts will be between 2k and 30K , i have some very long prompts \~100k
\- I want to optimize for speed i need reasonabl... | 2025-12-23T21:16:00 | https://www.reddit.com/r/LocalLLaMA/comments/1pu5chu/optimizing_glm_47/ | Best_Sail5 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu5chu | false | null | t3_1pu5chu | /r/LocalLLaMA/comments/1pu5chu/optimizing_glm_47/ | false | false | self | 0 | null |
Uncensored Qwen3-Next-80B-Thinking (Chinese political censorship removed) | 141 | 🤗 Link to the hugging face model: [https://huggingface.co/MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored](https://huggingface.co/MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored)
Hello everyone!
I am a researcher at [Multiverse Computing](https://multiversecomputing.com), an European star... | 2025-12-23T21:15:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pu5bob/uncensored_qwen3next80bthinking_chinese_political/ | ikergarcia1996 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu5bob | false | null | t3_1pu5bob | /r/LocalLLaMA/comments/1pu5bob/uncensored_qwen3next80bthinking_chinese_political/ | false | false | 141 | null | |
Is 30B-level LLMs really a waste? + Should I dual-5060 Ti for local AI or 3060+3060? | 1 | Hey all!
I’m diving into local LLMs (to escape ChatGPT’s privacy issues), but I’m confused about two things:
1. 30B models: I’m getting mixed opinions on local llms.. Some say they’re useless under 70b - others don’t.
My experience is mixed, some are decent, others are complete garbage. Am I missing something? What... | 2025-12-23T21:13:20 | https://www.reddit.com/r/LocalLLaMA/comments/1pu5a57/is_30blevel_llms_really_a_waste_should_i_dual5060/ | Background_Gene_3128 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu5a57 | false | null | t3_1pu5a57 | /r/LocalLLaMA/comments/1pu5a57/is_30blevel_llms_really_a_waste_should_i_dual5060/ | false | false | self | 1 | null |
MCP Mesh – Distributed runtime for AI agents with auto-discovery and LLM failover | 6 | I've been building **MCP Mesh** for 5 months — a distributed-first runtime for AI agents built on MCP protocol.
**What makes it different:**
* Agents are microservices, not threads in a monolith
* Auto-discovery via mesh registry (agents find each other by capability tags)
* LLM failover without code changes — just... | 2025-12-23T21:12:40 | https://www.reddit.com/r/LocalLLaMA/comments/1pu59mp/mcp_mesh_distributed_runtime_for_ai_agents_with/ | Own-Mix1142 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu59mp | false | null | t3_1pu59mp | /r/LocalLLaMA/comments/1pu59mp/mcp_mesh_distributed_runtime_for_ai_agents_with/ | false | false | self | 6 | null |
Why Local Ai dont use ROCm ? | 0 | Hello, I have a problem: I want a local AI but without using LM Studio. I would like to use it on my entire system, particularly via the terminal. However, when I use it from the terminal, the AI will only use the processor, which is not suitable, even though I have a “decent” graphics card for local AI, but it doesn't... | 2025-12-23T20:57:28 | https://www.reddit.com/r/LocalLLaMA/comments/1pu4wfp/why_local_ai_dont_use_rocm/ | Status_Wear_220 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pu4wfp | false | null | t3_1pu4wfp | /r/LocalLLaMA/comments/1pu4wfp/why_local_ai_dont_use_rocm/ | false | false | self | 0 | null |
🤯Weird - India’s top AI talent coming together first time to celebrate new year 🎉 | 0 | If you’re in India 🇮🇳, and don’t want to miss the craziest AI nerds party of the year then do check this:
https://www.linkedin.com/posts/india-top-1\_newyear-ai-talent-activity-7407772844677427200-SYsF | 2025-12-23T20:32:31 | Ambitious-End1261 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pu4b88 | false | null | t3_1pu4b88 | /r/LocalLLaMA/comments/1pu4b88/weird_indias_top_ai_talent_coming_together_first/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '6lfv0nppk09g1', 'resolutions': [{'height': 162, 'url': 'https://preview.redd.it/6lfv0nppk09g1.jpeg?width=108&crop=smart&auto=webp&s=27ee0861708c9aaa5c0825bdd0d6ae75a628c84d', 'width': 108}, {'height': 324, 'url': 'https://preview.redd.it/6lfv0nppk09g1.jpeg?width=216&crop=smart&auto=... |
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