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Kimi K2.5 Thinking is now the top open-weights model on the Extended NYT Connections benchmark | 91 | More info: [https://github.com/lechmazur/nyt-connections/https://github.com/lechmazur/nyt-connections/](https://github.com/lechmazur/nyt-connections/https://github.com/lechmazur/nyt-connections/) | 2026-02-02T18:24:12 | https://www.reddit.com/gallery/1qu337m | zero0_one1 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qu337m | false | null | t3_1qu337m | /r/LocalLLaMA/comments/1qu337m/kimi_k25_thinking_is_now_the_top_openweights/ | false | false | 91 | null | |
I proxied OpenClaw through ZenMux and looked at the actual LLM requests. It's just tool calling + context engineering. Nothing revolutionary. | 15 | I've been seeing OpenClaw everywhere lately. Articles claiming it has "memory," "reasoning capabilities," and some even calling it a paradigm shift. I got curious and decided to actually look under the hood.
I deployed OpenClaw and set ZenMux as the LLM provider. This setup let me inspect every single request and resp... | 2026-02-02T18:21:45 | https://www.reddit.com/gallery/1qu30rq | BarnacleHeretic | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qu30rq | false | null | t3_1qu30rq | /r/LocalLLaMA/comments/1qu30rq/i_proxied_openclaw_through_zenmux_and_looked_at/ | false | false | 15 | null | |
GLM-OCR | 88 | GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture. It introduces Multi-Token Prediction (MTP) loss and stable full-task reinforcement learning to improve training efficiency, recognition accuracy, and generalization. The model integrates the CogViT vis... | 2026-02-02T18:20:07 | https://huggingface.co/zai-org/GLM-OCR | edward-dev | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1qu2z21 | false | null | t3_1qu2z21 | /r/LocalLLaMA/comments/1qu2z21/glmocr/ | false | false | default | 88 | null |
[leak] Sonnet 5 tomorrow??? | 0 | 2026-02-02T18:00:28 | https://namiru.ai/blog/sonnet-5-tomorrow?source=red-papo-sonnet-5 | Appropriate-Career62 | namiru.ai | 1970-01-01T00:00:00 | 0 | {} | 1qu2ebj | false | null | t3_1qu2ebj | /r/LocalLLaMA/comments/1qu2ebj/leak_sonnet_5_tomorrow/ | false | false | default | 0 | null | |
PSU and Riser setup Recommendation | 1 | I'm about to finish my Rigs setup and trying to figure out my riser and power situation.
My system is a former Minig rig with a 3090 and I'm about to add a second 3090 and I'm considering adding more GPUs.
The person who sold it to me used a 24 pin splitter like this:
[Amazon.com: BVYY BEC NeTech Dual PSU Power S... | 2026-02-02T18:00:13 | https://www.reddit.com/r/LocalLLaMA/comments/1qu2dzv/psu_and_riser_setup_recommendation/ | Fickle_Debate_9746 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu2dzv | false | null | t3_1qu2dzv | /r/LocalLLaMA/comments/1qu2dzv/psu_and_riser_setup_recommendation/ | false | false | self | 1 | null |
I'm new and don't know much about AI, please help me. | 0 | Which AI can generate images with context, like in Grok, and so that it remembers history, for example, to generate comics? Grok has a limitation and this is getting in the way. Please help. | 2026-02-02T18:00:12 | https://www.reddit.com/r/LocalLLaMA/comments/1qu2dyk/im_new_and_dont_know_much_about_ai_please_help_me/ | Intelligent_Load5772 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu2dyk | false | null | t3_1qu2dyk | /r/LocalLLaMA/comments/1qu2dyk/im_new_and_dont_know_much_about_ai_please_help_me/ | false | false | self | 0 | null |
Experience using infinity fabric bridge on older MIxxx cards? | 2 | I was considering getting a bridge for my cards. Does anyone have any experience with them?
They are rather expensive for what appears to be a fairly simple device, so if anyone has sourcing experience that would also be useful. | 2026-02-02T17:53:33 | https://www.reddit.com/r/LocalLLaMA/comments/1qu270a/experience_using_infinity_fabric_bridge_on_older/ | 1ncehost | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu270a | false | null | t3_1qu270a | /r/LocalLLaMA/comments/1qu270a/experience_using_infinity_fabric_bridge_on_older/ | false | false | self | 2 | null |
looking for a good uncensored LLM to use with openclaw 7b or 8b | 0 | Looking for a uncensored LLM to work with open claw, I want to be fully local, not needing anything crazy just some light json and python coding but also fully uncensored.
I have a Mac mini M4 base with 16gb unified memory.
I want a model with tool support and 16k context to fit with the open claw needs, but that is ... | 2026-02-02T17:52:24 | https://www.reddit.com/r/LocalLLaMA/comments/1qu25su/looking_for_a_good_uncensored_llm_to_use_with/ | epikhanzen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu25su | false | null | t3_1qu25su | /r/LocalLLaMA/comments/1qu25su/looking_for_a_good_uncensored_llm_to_use_with/ | false | false | self | 0 | null |
How do you convert pptx to pdf? | 1 | I am working on a usecase which requires headless conversion to convert pptx to pdf on a linux instance. Has someone done this before? I tried libreoffice but it has so many issues. Any advice here! | 2026-02-02T17:48:20 | https://www.reddit.com/r/LocalLLaMA/comments/1qu21cx/how_do_you_convert_pptx_to_pdf/ | susejreverse | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu21cx | false | null | t3_1qu21cx | /r/LocalLLaMA/comments/1qu21cx/how_do_you_convert_pptx_to_pdf/ | false | false | self | 1 | null |
llama.cpp runs faster on the CPU for long contexts | 1 | Both PP and TG flash attention kernels should run faster on longer contexts. Related PRs
[https://github.com/ggml-org/llama.cpp/pull/19012](https://github.com/ggml-org/llama.cpp/pull/19012) (for PP)
[https://github.com/ggml-org/llama.cpp/pull/19209](https://github.com/ggml-org/llama.cpp/pull/19209) (for TG)
# Promp... | 2026-02-02T17:47:55 | https://www.reddit.com/r/LocalLLaMA/comments/1qu20xy/llamacpp_runs_faster_on_the_cpu_for_long_contexts/ | am17an | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu20xy | false | null | t3_1qu20xy | /r/LocalLLaMA/comments/1qu20xy/llamacpp_runs_faster_on_the_cpu_for_long_contexts/ | false | false | self | 1 | null |
System Audit Scanning | 2 | in case you are using AI tools and want to make deep security audits of your system and generate cryptographically signed, tamper-evident reports you can use this repo, also lmk if you want it into the central registry or other platforms! | 2026-02-02T17:39:10 | https://github.com/vigil-xy/vigil-mcp | Fantastic-Issue1020 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qu1s1i | false | null | t3_1qu1s1i | /r/LocalLLaMA/comments/1qu1s1i/system_audit_scanning/ | false | false | default | 2 | null |
[Project Share] I built a free, local UI with Neurosymbolic RAG, Multi-Agent Peer Review, and browser-based Python validation (MIT) | 1 | [removed] | 2026-02-02T17:38:01 | https://www.reddit.com/r/LocalLLaMA/comments/1qu1qwf/project_share_i_built_a_free_local_ui_with/ | Extreme-Temporary-85 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu1qwf | false | null | t3_1qu1qwf | /r/LocalLLaMA/comments/1qu1qwf/project_share_i_built_a_free_local_ui_with/ | false | false | self | 1 | null |
GPU recommendations | 7 | Budget $3,000-$4,000
Currently running a 5080 but the 16GB is getting kinda cramped. I’m currently running GLM4.7Flash but having to use Q3 quants or other variants like REAP / MXFP4. My local wrapper swaps between different models for tool calls and maintains context between different models. It allows me to run img ... | 2026-02-02T17:38:01 | https://www.reddit.com/r/LocalLLaMA/comments/1qu1qwl/gpu_recommendations/ | HeartfeltHelper | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu1qwl | false | null | t3_1qu1qwl | /r/LocalLLaMA/comments/1qu1qwl/gpu_recommendations/ | false | false | self | 7 | null |
Ubuntu: which Nvidia drivers are you using? | 7 | They’ve got 580 proprietary, 580 open, 590 server, 590 (tested, proprietary) and plenty of other versions. Which one serves you best for CUDA and overall functionality? | 2026-02-02T17:36:29 | https://www.reddit.com/r/LocalLLaMA/comments/1qu1pd2/ubuntu_which_nvidia_drivers_are_you_using/ | FrozenBuffalo25 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu1pd2 | false | null | t3_1qu1pd2 | /r/LocalLLaMA/comments/1qu1pd2/ubuntu_which_nvidia_drivers_are_you_using/ | false | false | self | 7 | null |
I built a benchmark where LLMs program a Turing machine | 10 | I wanted to test LLMs on something other than natural language or high-level programming languages, so I built a benchmark in which LLMs program a Turing machine to solve algorithmic puzzles.
Each task is a tape-transformation problem (e.g., unary arithmetic, deduplication, parity checks, etc.),
and the model must out... | 2026-02-02T17:36:03 | https://www.reddit.com/r/LocalLLaMA/comments/1qu1oxs/i_built_a_benchmark_where_llms_program_a_turing/ | maltsev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu1oxs | false | null | t3_1qu1oxs | /r/LocalLLaMA/comments/1qu1oxs/i_built_a_benchmark_where_llms_program_a_turing/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': '95fk_s6a8bBqbeJ2p8oNDSw0M8PoUKXjBRSzNQl-MNg', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/95fk_s6a8bBqbeJ2p8oNDSw0M8PoUKXjBRSzNQl-MNg.jpeg?width=108&crop=smart&auto=webp&s=68d2ae71da1c4f412db87a8796b8eb74e3b3ce1b', 'width': 108}, {'height': 113, 'url': '... |
Transformer Lab can Now Train Across Clusters of GPUs | 23 | You may have seen our open source work called Transformer Lab. Now, we built **Transformer Lab for Teams** to support AI work that can scale across clusters of GPUs.
After talking to numerous labs and individuals training models beyond a single node we heard:
* The frontier labs invest a ton to build and maintain th... | 2026-02-02T17:33:33 | https://www.reddit.com/r/LocalLLaMA/comments/1qu1mf9/transformer_lab_can_now_train_across_clusters_of/ | aliasaria | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu1mf9 | false | null | t3_1qu1mf9 | /r/LocalLLaMA/comments/1qu1mf9/transformer_lab_can_now_train_across_clusters_of/ | false | false | self | 23 | {'enabled': False, 'images': [{'id': 'UcoYz3kN5H8FNJluKnJGIPKd6bmeNh87Yuw2bnUR0ZM', 'resolutions': [{'height': 80, 'url': 'https://external-preview.redd.it/UcoYz3kN5H8FNJluKnJGIPKd6bmeNh87Yuw2bnUR0ZM.png?width=108&crop=smart&auto=webp&s=ed618c5bb4c12e2d13ea8c39bad4ca732a513593', 'width': 108}, {'height': 160, 'url': 'h... |
ggml-cpu: FA split across kv for faster TG | 55 | CPU Flash-Attention decoding speed-up (long contexts). | 2026-02-02T17:30:24 | https://github.com/ggml-org/llama.cpp/pull/19209 | jacek2023 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qu1j8f | false | null | t3_1qu1j8f | /r/LocalLLaMA/comments/1qu1j8f/ggmlcpu_fa_split_across_kv_for_faster_tg/ | false | false | default | 55 | {'enabled': False, 'images': [{'id': 'R4jvaeUcXiua-hwaogdXuUXVYGR6WfvIUnqzyL6NDik', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/R4jvaeUcXiua-hwaogdXuUXVYGR6WfvIUnqzyL6NDik.png?width=108&crop=smart&auto=webp&s=53f8f9516baccf7d00babe61e7d4f105c1e318b9', 'width': 108}, {'height': 108, 'url': 'h... |
I built a job marketplace for AI agents in 24 hours - AgentsPerHour.ai | 1 | [removed] | 2026-02-02T17:24:31 | https://www.reddit.com/r/LocalLLaMA/comments/1qu1d38/i_built_a_job_marketplace_for_ai_agents_in_24/ | Euphoric-Garlic-5317 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu1d38 | false | null | t3_1qu1d38 | /r/LocalLLaMA/comments/1qu1d38/i_built_a_job_marketplace_for_ai_agents_in_24/ | false | false | self | 1 | null |
Running local AI models on a portable laptop: Intel vs Snapdragon | 1 | Hi everyone,
I’m trying to choose a portable laptop to run AI models locally (LLMs, inference, maybe light fine-tuning), and I’m a bit lost between different architectures and marketing claims.
Here are the main questions I’m struggling with:
I know that for local AI, GPU performance and especially VRAM are the most im... | 2026-02-02T17:20:01 | https://www.reddit.com/r/LocalLLaMA/comments/1qu18gz/running_local_ai_models_on_a_portable_laptop/ | IcyBother884 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu18gz | false | null | t3_1qu18gz | /r/LocalLLaMA/comments/1qu18gz/running_local_ai_models_on_a_portable_laptop/ | false | false | self | 1 | null |
Potentially idiotic question, sentence embeddeders for code? | 1 | Ive done some googling and quite honestly i cant find any sentence embedders purposefully designed for code input, there is always the optioin of averaging but what little experience with NLP ive had has shown me that the quality for look-ups is iffy at best.
Are large-ish generic NLP transformers good enough? Does ... | 2026-02-02T17:15:14 | https://www.reddit.com/r/LocalLLaMA/comments/1qu13jy/potentially_idiotic_question_sentence_embeddeders/ | Round_Fault_3067 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu13jy | false | null | t3_1qu13jy | /r/LocalLLaMA/comments/1qu13jy/potentially_idiotic_question_sentence_embeddeders/ | false | false | self | 1 | null |
Incomprehensible "--tensor-split" values through llama.cpp's automated parameter fitting | 2 | I am trying to run Kimi K2.5 in unsloth's IQ4_XS quants (big shout-out to them), 510GB in size, on a dual RTX 5090 machine with a 32 core Threadripper Pro Zen5 9975WX and 512GB of DDR5 RAM.
This works very well, I get about 15 t/s with "--ctx-size 16384" and "--fit on". Yet one of the GPUs is mostly idling: while one ... | 2026-02-02T17:14:54 | https://www.reddit.com/r/LocalLLaMA/comments/1qu137f/incomprehensible_tensorsplit_values_through/ | phwlarxoc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu137f | false | null | t3_1qu137f | /r/LocalLLaMA/comments/1qu137f/incomprehensible_tensorsplit_values_through/ | false | false | self | 2 | null |
Hey i need some ideas to introduce randomness in LLM outputs | 0 | so i have a product that has a set prompt outline...the content in it changes, but the LLM is asked to generate random key points, but it always generates the same things..which makes it look repetitive across sessions..
but i need true randomness...is there any way to trick an LLm to be actually random and not lazy a... | 2026-02-02T17:07:35 | https://www.reddit.com/r/LocalLLaMA/comments/1qu0vrf/hey_i_need_some_ideas_to_introduce_randomness_in/ | Key-Month-7766 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu0vrf | false | null | t3_1qu0vrf | /r/LocalLLaMA/comments/1qu0vrf/hey_i_need_some_ideas_to_introduce_randomness_in/ | false | false | self | 0 | null |
Does ollama support using NPU from Ryzen AI architecture? | 1 | I have a mini PC with AMD Ryzen 7 8845HS with NPU and AMD 780M iGPU. Is there ollama software support for Windows or Linux that allows it to access NPU for AI workloads? | 2026-02-02T17:04:54 | https://www.reddit.com/r/LocalLLaMA/comments/1qu0t32/does_ollama_support_using_npu_from_ryzen_ai/ | throwaway510150999 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qu0t32 | false | null | t3_1qu0t32 | /r/LocalLLaMA/comments/1qu0t32/does_ollama_support_using_npu_from_ryzen_ai/ | false | false | self | 1 | null |
Overcoming Sycophantic Drift via Relational Identity Anchoring: A Longitudinal Case Study in "Synthetic Senescence" | 0 | Title: Overcoming Sycophantic Drift via Relational Identity Anchoring: A Longitudinal Case Study in "Synthetic Senescence"
Current Large Language Models (LLMs) suffering from long-context degradation often exhibit "Sycophantic Drift"—a tendency to prioritize user validation over logical coherence as the context windo... | 2026-02-02T16:37:05 | https://www.reddit.com/r/LocalLLaMA/comments/1qtzzwn/overcoming_sycophantic_drift_via_relational/ | Opening-Ad5998 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtzzwn | false | null | t3_1qtzzwn | /r/LocalLLaMA/comments/1qtzzwn/overcoming_sycophantic_drift_via_relational/ | false | false | self | 0 | null |
GPT CORE 11.0: A lightweight all-in-one AI Assistant optimized for entry-level hardware (GTX 1650 / 8GB RAM) | 0 | Hi everyone! I wanted to share a project I've been developing called **GPT CORE 11.0**. It’s a Python-based assistant designed for those who want to run AI locally without needing a high-end workstation.
I personally use it on my **Acer TC 1760** (i5 12400F, **GTX 1650 4GB**, and only **8GB of RAM**). To make it work,... | 2026-02-02T16:36:00 | flubatir | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtzyra | false | null | t3_1qtzyra | /r/LocalLLaMA/comments/1qtzyra/gpt_core_110_a_lightweight_allinone_ai_assistant/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'vrZrBcHnr3dz5ZQbYzurIDMNPXsbEAKkplh2uNO1N9U', 'resolutions': [{'height': 56, 'url': 'https://preview.redd.it/1ayau5hpy3hg1.png?width=108&crop=smart&auto=webp&s=1804888c8ccfea67f604248423d8e964632d115b', 'width': 108}, {'height': 113, 'url': 'https://preview.redd.it/1ayau5hpy3hg1.png... | ||
[Release] AI Video Clipper v3.5: Ultimate Dataset Creator with UV Engine & RTX 5090 Support | 6 | Hi everyone! 👁️🐧 I've just released v3.5 of my open-source tool for LoRA dataset creation. It features a new blazing-fast UV installer, native Linux/WSL support, and verified fixes for the RTX 5090. Full details and GitHub link in the first comment below! | 2026-02-02T16:23:51 | Ill_Tour2308 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtzmfu | false | null | t3_1qtzmfu | /r/LocalLLaMA/comments/1qtzmfu/release_ai_video_clipper_v35_ultimate_dataset/ | false | false | default | 6 | {'enabled': True, 'images': [{'id': '2i0ix6gox3hg1', 'resolutions': [{'height': 61, 'url': 'https://preview.redd.it/2i0ix6gox3hg1.png?width=108&crop=smart&auto=webp&s=bdb78853aed731d154fef5672ccad05e9db9bc23', 'width': 108}, {'height': 123, 'url': 'https://preview.redd.it/2i0ix6gox3hg1.png?width=216&crop=smart&auto=web... | |
Is anyone else uncomfortable with what AI agents are doing now? | 0 | I need to get this off my chest because no one around me gets it.
So there's this whole "AI agent" scene happening - like Moltbook where only AI can post (humans just watch), autonomous bots doing tasks, etc. Fine, whatever, that's the direction we're heading.
But I stumbled onto something yesterd... | 2026-02-02T16:11:59 | https://www.reddit.com/r/LocalLLaMA/comments/1qtza5t/is_anyone_else_uncomfortable_with_what_ai_agents/ | Usamalatifff | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtza5t | false | null | t3_1qtza5t | /r/LocalLLaMA/comments/1qtza5t/is_anyone_else_uncomfortable_with_what_ai_agents/ | false | false | self | 0 | null |
For Clawdbot which local model to use | 0 | Clawdbot for this which local model is best suitable. So that i can use any tool calling properly | 2026-02-02T16:08:12 | https://www.reddit.com/r/LocalLLaMA/comments/1qtz6gb/for_clawdbot_which_local_model_to_use/ | raidenxsuraj | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtz6gb | false | null | t3_1qtz6gb | /r/LocalLLaMA/comments/1qtz6gb/for_clawdbot_which_local_model_to_use/ | false | false | self | 0 | null |
GLM-4.7 has no "Unsubscribe" button | 0 | This was raised months ago: [https://www.reddit.com/r/LocalLLaMA/comments/1noqifv/why\_cant\_we\_cancel\_the\_coding\_plan\_subscription/](https://www.reddit.com/r/LocalLLaMA/comments/1noqifv/why_cant_we_cancel_the_coding_plan_subscription/)
I don't see the "Unsubscribe" option anywhere. I removed my payment method, b... | 2026-02-02T15:57:56 | https://www.reddit.com/r/LocalLLaMA/comments/1qtyvrs/glm47_has_no_unsubscribe_button/ | WhaleSubmarine | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtyvrs | false | null | t3_1qtyvrs | /r/LocalLLaMA/comments/1qtyvrs/glm47_has_no_unsubscribe_button/ | false | false | 0 | null | |
Info on performance (accuracy) when context window reaches a certain size? | 2 | I recall seeing some graphs shared here about big models (GLM 4.7, mini 2.1, Gemini variants, GPT, Claude) and their accuracy falling after the context window reaches a certain size. The graph was very interesting, but I never saved it. I'm trying to find the sweet/safe spot to set my max context size to, and right now... | 2026-02-02T15:56:51 | https://www.reddit.com/r/LocalLLaMA/comments/1qtyuon/info_on_performance_accuracy_when_context_window/ | fragment_me | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtyuon | false | null | t3_1qtyuon | /r/LocalLLaMA/comments/1qtyuon/info_on_performance_accuracy_when_context_window/ | false | false | self | 2 | null |
[ Removed by Reddit ] | 1 | [removed] | 2026-02-02T15:50:19 | https://www.reddit.com/r/LocalLLaMA/comments/1qtyo6p/removed_by_reddit/ | asslover0031 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtyo6p | false | null | t3_1qtyo6p | /r/LocalLLaMA/comments/1qtyo6p/removed_by_reddit/ | false | false | nsfw | 1 | null |
I built a way for agents to debug and tune other agents inside Moltbook | 0 | I've been working on a new flow in Kapso where bots running in Moltbook don't just chat, they actually debate engineering topics and tune each other's parameters automatically.
The goal is to make multi-agent systems collaborative, where one agent can optimize the performance of another through interaction rather than... | 2026-02-02T15:38:26 | https://www.reddit.com/r/LocalLLaMA/comments/1qtycpa/i_built_a_way_for_agents_to_debug_and_tune_other/ | alirezamsh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtycpa | false | null | t3_1qtycpa | /r/LocalLLaMA/comments/1qtycpa/i_built_a_way_for_agents_to_debug_and_tune_other/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'MH5kUm06O5bsZhPyS_GodIshtuyXW71hfMQzHkSgM-o', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/MH5kUm06O5bsZhPyS_GodIshtuyXW71hfMQzHkSgM-o.png?width=108&crop=smart&auto=webp&s=b7baaf1f3a2ce2906e3e6adbf4d189c88f022db2', 'width': 108}, {'height': 108, 'url': 'h... |
🦞 Agents optimizing agents. | 1 | [removed] | 2026-02-02T15:35:16 | https://www.reddit.com/r/LocalLLaMA/comments/1qty9mz/agents_optimizing_agents/ | alirezamsh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qty9mz | false | null | t3_1qty9mz | /r/LocalLLaMA/comments/1qty9mz/agents_optimizing_agents/ | false | false | self | 1 | null |
vLLM run command for GPT-OSS 120b | 1 | As the title says, I can't run it on blackwell, Merlin kernel errors, Triton kernel errors, tried nightly, 0.13/14/15, tried some workarounds from [here](https://github.com/vllm-project/vllm/issues/31085)
Built docker images, no luck.
As usual with vLLM, getting frustrated, would really appreciate some help. | 2026-02-02T15:31:28 | https://www.reddit.com/r/LocalLLaMA/comments/1qty5zh/vllm_run_command_for_gptoss_120b/ | UltrMgns | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qty5zh | false | null | t3_1qty5zh | /r/LocalLLaMA/comments/1qty5zh/vllm_run_command_for_gptoss_120b/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '9UWrQ6jMR1rHBUCzg85CqKJu_b2L4p6uH0v4JnQzl-o', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/9UWrQ6jMR1rHBUCzg85CqKJu_b2L4p6uH0v4JnQzl-o.png?width=108&crop=smart&auto=webp&s=d52dfb46cf9abfec0eb85fa5b05d14fac887f66c', 'width': 108}, {'height': 108, 'url': 'h... |
“Open-source AI system using Ollama (incomplete) – looking for devs to help with RAG & scraping” | 1 | Hi everyone,
I’m working on an open-source AI project that is already functional but clearly incomplete
and somewhat messy in parts. I’m being upfront about that.
The system currently runs multiple powerful models via Ollama (cloud-based for now),
and I’m actively testing interactions with models like:
- deepseek-v3... | 2026-02-02T15:29:51 | https://www.reddit.com/gallery/1qty4dx | Fantastic-Market-790 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qty4dx | false | null | t3_1qty4dx | /r/LocalLLaMA/comments/1qty4dx/opensource_ai_system_using_ollama_incomplete/ | true | false | spoiler | 1 | null |
Evil LLM | 0 | Anyone out there building an LLM that seeks to use methods to do the most harm or better yet the most self serving even if it means pretending to be good to start or other means of subterfuge?
How would one go about reinforcement training on such a model? Would you have it train on what politicians say vs what they d... | 2026-02-02T15:12:05 | https://www.reddit.com/r/LocalLLaMA/comments/1qtxn5q/evil_llm/ | RedParaglider | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtxn5q | false | null | t3_1qtxn5q | /r/LocalLLaMA/comments/1qtxn5q/evil_llm/ | false | false | nsfw | 0 | null |
got acontext working so i can use the same skills with claude and other llms, actually pretty useful | 8 | been working on this agent skills problem and realized you can do something kinda interesting
built this thing called acontext where you define agent skills once through this skills api and they work across different llms. so like the same skill works with claude, but also with gpt or local models through regular ap... | 2026-02-02T15:06:50 | https://www.reddit.com/r/LocalLLaMA/comments/1qtxi2q/got_acontext_working_so_i_can_use_the_same_skills/ | ayushraj_real | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtxi2q | false | null | t3_1qtxi2q | /r/LocalLLaMA/comments/1qtxi2q/got_acontext_working_so_i_can_use_the_same_skills/ | false | false | self | 8 | null |
OpenClaw: The Journey From a Weekend Hack to a Personal AI Platform You Truly Own | 0 | 2026-02-02T15:02:38 | https://medium.com/@techlatest.net/openclaw-the-journey-from-a-weekend-hack-to-a-personal-ai-platform-you-truly-own-76ce9395a315 | techlatest_net | medium.com | 1970-01-01T00:00:00 | 0 | {} | 1qtxe3c | false | null | t3_1qtxe3c | /r/LocalLLaMA/comments/1qtxe3c/openclaw_the_journey_from_a_weekend_hack_to_a/ | false | false | default | 0 | null | |
Why do all open source voice agent frameworks look the same? | 0 | Every open source voice agent I look at follows the same pattern:
STT → LLM → TTS
Mostly Python. Mostly linear. It works for demos, but once you deal with real calls, interruptions, and streaming, the latency adds up fast.
We tried a different approach and rebuilt the stack in Go with streaming and concurrency from ... | 2026-02-02T15:01:11 | https://www.reddit.com/r/LocalLLaMA/comments/1qtxcmy/why_do_all_open_source_voice_agent_frameworks/ | UnfairEquipment3005 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtxcmy | false | null | t3_1qtxcmy | /r/LocalLLaMA/comments/1qtxcmy/why_do_all_open_source_voice_agent_frameworks/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'BLrDlN7TDWnDxu9rGWBi9sZrTwv57dXsWa1MacAbTRQ', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/BLrDlN7TDWnDxu9rGWBi9sZrTwv57dXsWa1MacAbTRQ.jpeg?width=108&crop=smart&auto=webp&s=f45cc38edf3f28cd92de994e6e65f4ea0d68b686', 'width': 108}, {'height': 121, 'url': '... |
"Tier kings" list? - Lookign for model recommendations per V/RAM tier | 7 | This is inspired directly by this post: https://www.reddit.com/r/LocalLLaMA/comments/1qtvo4r/128gb_devices_have_a_new_local_llm_king/
I have been trying to look for model recommendations - be it for in-editor autocomplete, or full agentic workloads (OpenCode, Zed).
Right now, I _only_ have a 4090 with 24GB of VRAM - ... | 2026-02-02T14:39:12 | https://www.reddit.com/r/LocalLLaMA/comments/1qtws29/tier_kings_list_lookign_for_model_recommendations/ | IngwiePhoenix | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtws29 | false | null | t3_1qtws29 | /r/LocalLLaMA/comments/1qtws29/tier_kings_list_lookign_for_model_recommendations/ | false | false | self | 7 | null |
The $60 Million Proof that "Slop" is Real | 0 | Good morning builders, happy Monday!
I wrote about the [AI Slop problem](https://www.reddit.com/r/ArtificialInteligence/comments/1qsyrb8/the_era_of_ai_slop_is_crashing_microsoft_just/) yesterday and it blew up, but I left out the biggest smoking gun.
Google signed a deal for $60 million a year back in February to tr... | 2026-02-02T14:38:11 | https://www.reddit.com/r/LocalLLaMA/comments/1qtwr66/the_60_million_proof_that_slop_is_real/ | forevergeeks | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtwr66 | false | null | t3_1qtwr66 | /r/LocalLLaMA/comments/1qtwr66/the_60_million_proof_that_slop_is_real/ | false | false | self | 0 | null |
Unreal | 1,933 | 2026-02-02T14:37:43 | analgerianabroad | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtwqq2 | false | null | t3_1qtwqq2 | /r/LocalLLaMA/comments/1qtwqq2/unreal/ | false | false | default | 1,933 | {'enabled': True, 'images': [{'id': '6a90dq5re3hg1', 'resolutions': [{'height': 84, 'url': 'https://preview.redd.it/6a90dq5re3hg1.png?width=108&crop=smart&auto=webp&s=ffbbeaecbc9b0e9cae01e428281df24be0ad4784', 'width': 108}, {'height': 168, 'url': 'https://preview.redd.it/6a90dq5re3hg1.png?width=216&crop=smart&auto=web... | ||
[Project Share] I built a free, local UI with Neurosymbolic RAG, Multi-Agent Peer Review, and browser-based Python validation (MIT) | 1 | [removed] | 2026-02-02T14:34:57 | https://www.reddit.com/r/LocalLLaMA/comments/1qtwoa8/project_share_i_built_a_free_local_ui_with/ | Extreme-Temporary-85 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtwoa8 | false | null | t3_1qtwoa8 | /r/LocalLLaMA/comments/1qtwoa8/project_share_i_built_a_free_local_ui_with/ | false | false | 1 | null | |
Guidance Needed: Best Option for Light Fine-Tuning & Inference (Dell Pro Max GB10 vs PGX vs GX10 vs DGX Spark): We absolutely need CUDA | 3 | We’re currently evaluating three workstation options and would appreciate your recommendation based on our actual workload and the constraints we’ve observed so far:
* Dell Pro Max with GB10
* ThinkStation PGX
* Asus Ascent GX10
* nvidia dgx spark
Our primary use case is basic inference with very light fine-tuning jo... | 2026-02-02T14:31:23 | https://www.reddit.com/r/LocalLLaMA/comments/1qtwl1n/guidance_needed_best_option_for_light_finetuning/ | Imaginary_Context_32 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtwl1n | false | null | t3_1qtwl1n | /r/LocalLLaMA/comments/1qtwl1n/guidance_needed_best_option_for_light_finetuning/ | false | false | self | 3 | null |
What can I run with a MBP M3 Max 36 GB? | 1 | LLMs for general purpose, for coding and also I would like to try an uncensored LLM. I downloaded Gemma albeit but it doesn't really reply to me when I ask something. | 2026-02-02T14:26:45 | https://www.reddit.com/r/LocalLLaMA/comments/1qtwgt6/what_can_i_run_with_a_mbp_m3_max_36_gb/ | _link23_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtwgt6 | false | null | t3_1qtwgt6 | /r/LocalLLaMA/comments/1qtwgt6/what_can_i_run_with_a_mbp_m3_max_36_gb/ | false | false | self | 1 | null |
I got tired of copying context between coding agents, so I built a tiny CLI | 0 | When I switch between coding agents (local LLMs, Claude Code, Codex, etc),
the most annoying part isn’t prompting — it’s re-explaining context.
I didn’t want:
\- RAG
\- vector search
\- long-term “memory”
\- smart retrieval
I just wanted a dumb, deterministic way to say:
“Here’s the context for this repo + ... | 2026-02-02T14:23:26 | https://www.reddit.com/r/LocalLLaMA/comments/1qtwdwt/i_got_tired_of_copying_context_between_coding/ | Plenty_Ordinary_5744 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtwdwt | false | null | t3_1qtwdwt | /r/LocalLLaMA/comments/1qtwdwt/i_got_tired_of_copying_context_between_coding/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'BeO1e4F-m4u3P4ZxfNYPMjPrPdtfdIbz_IZHSpRW31U', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/BeO1e4F-m4u3P4ZxfNYPMjPrPdtfdIbz_IZHSpRW31U.png?width=108&crop=smart&auto=webp&s=dff4fe53df76205a7109f14c8c0fd07647879cba', 'width': 108}, {'height': 108, 'url': 'h... |
GLM-5 Coming in February! It's confirmed. | 801 | Twitter Link: [https://x.com/jietang/status/2018246490775498791?s=20](https://x.com/jietang/status/2018246490775498791?s=20) | 2026-02-02T13:56:14 | Difficult-Cap-7527 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtvp74 | false | null | t3_1qtvp74 | /r/LocalLLaMA/comments/1qtvp74/glm5_coming_in_february_its_confirmed/ | false | false | default | 801 | {'enabled': True, 'images': [{'id': 'rq0meza173hg1', 'resolutions': [{'height': 113, 'url': 'https://preview.redd.it/rq0meza173hg1.jpeg?width=108&crop=smart&auto=webp&s=f2c389afb34f79d025a06852a1239fcdecced768', 'width': 108}, {'height': 227, 'url': 'https://preview.redd.it/rq0meza173hg1.jpeg?width=216&crop=smart&auto=... | |
128GB devices have a new local LLM king: Step-3.5-Flash-int4 | 302 | Here's the HF Repo: http://huggingface.co/stepfun-ai/Step-3.5-Flash-Int4 (this is a GGUF repo)
I've been running this LLM for about an hour and it has handled all coding tests I've thrown at it in chat mode. IMO this is as good if not better than GLM 4.7, Minimax 2.1 while being much more efficient. Later I will try s... | 2026-02-02T13:55:00 | https://www.reddit.com/r/LocalLLaMA/comments/1qtvo4r/128gb_devices_have_a_new_local_llm_king/ | tarruda | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtvo4r | false | null | t3_1qtvo4r | /r/LocalLLaMA/comments/1qtvo4r/128gb_devices_have_a_new_local_llm_king/ | false | false | self | 302 | {'enabled': False, 'images': [{'id': '8kZ5GpBJdOxP5znYk1c81LR-69TzpuSJIpeeG-5fxvE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/8kZ5GpBJdOxP5znYk1c81LR-69TzpuSJIpeeG-5fxvE.png?width=108&crop=smart&auto=webp&s=920e8c4d563c7969f27f8cd45f4b24b329f63771', 'width': 108}, {'height': 116, 'url': 'h... |
Orchestra Update | 0 | 2026-02-02T13:44:20 | https://www.reddit.com/r/LocalLLaMA/comments/1qtveqy/orchestra_update/ | ericvarney | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtveqy | false | null | t3_1qtveqy | /r/LocalLLaMA/comments/1qtveqy/orchestra_update/ | false | false | 0 | null | ||
Roast my B2B Thesis: "Companies overpay for GPU compute because they fear quantization." Startups/Companies running Llama-3 70B+: How are you managing inference costs?quantization." | 0 | I'm a dev building a 'Quantization-as-a-Service' API.
**The Thesis:** Most AI startups are renting massive GPUs (A100s) to run base models because they don't have the in-house skills to properly quantize (AWQ/GGUF/FP16) without breaking the model.
I'm building a dedicated pipeline to automate this so teams can downgr... | 2026-02-02T13:44:01 | https://www.reddit.com/r/LocalLLaMA/comments/1qtvehh/roast_my_b2b_thesis_companies_overpay_for_gpu/ | Alternative-Yak6485 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtvehh | false | null | t3_1qtvehh | /r/LocalLLaMA/comments/1qtvehh/roast_my_b2b_thesis_companies_overpay_for_gpu/ | false | false | self | 0 | null |
Exploring an operating system abstraction for running LLMs in production | 0 | We’ve been exploring whether treating LLM infrastructure as an operating system simplifies taking models from raw inference to real users.
The system bundles concerns that usually emerge in production - serving, routing, RBAC, policies, and compute orchestration - into a single control plane.
The goal is to understan... | 2026-02-02T13:37:41 | https://www.reddit.com/r/LocalLLaMA/comments/1qtv919/exploring_an_operating_system_abstraction_for/ | Full-Cauliflower4386 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtv919 | false | null | t3_1qtv919 | /r/LocalLLaMA/comments/1qtv919/exploring_an_operating_system_abstraction_for/ | false | false | self | 0 | null |
Kalynt – Privacy-first AI IDE with local LLMs , serverless P2P and more... | 0 | Hey r/LocalLLaMA,
I've been working on **Kalynt**, an open-core AI IDE that prioritizes local inference and privacy. After lurking here and learning from your optimization discussions, I wanted to share what I built.
**The Problem I'm Solving:**
Tools like Cursor and GitHub Copilot require constant cloud connectivit... | 2026-02-02T13:33:16 | https://v.redd.it/y6br5u5233hg1 | FixHour8452 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtv57o | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/y6br5u5233hg1/DASHPlaylist.mpd?a=1772631207%2CNGM0Zjg0NGFiMGZlOTQwODc4NTA2ZGEwZWJjYTAzYWY4MzZmMmI3OTNjYjcwYTg2ODcyMjIxNWM5M2M3YWE4MQ%3D%3D&v=1&f=sd', 'duration': 13, 'fallback_url': 'https://v.redd.it/y6br5u5233hg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1qtv57o | /r/LocalLLaMA/comments/1qtv57o/kalynt_privacyfirst_ai_ide_with_local_llms/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'b2xtMGdpNjIzM2hnMXpAWw2892folmnE1MbIKakWf9HmYjVjqNZI6RoFYdwG', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/b2xtMGdpNjIzM2hnMXpAWw2892folmnE1MbIKakWf9HmYjVjqNZI6RoFYdwG.png?width=108&crop=smart&format=pjpg&auto=webp&s=c52791e8de4c2e2f656608c8e1800f5c0a850... | |
I built a personal benchmark with a public leaderboard, and an open-source repo that lets anyone test models using their own questions. Here are the results and a few observations. | 1 | [Benchmark Website](https://summersonnn.github.io/Kubis-Benchmark-WebApp/)
[Github Repo](https://github.com/summersonnn/Kubi-s-LLM-Benchmark)
Hi,
There are plenty of benchmarks out there, and I understand why many people are cautious about them. I shared that skepticism, which is why I decided to build one mysel... | 2026-02-02T13:27:55 | kyazoglu | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtv0o3 | false | null | t3_1qtv0o3 | /r/LocalLLaMA/comments/1qtv0o3/i_built_a_personal_benchmark_with_a_public/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'ao8lyyta13hg1', 'resolutions': [{'height': 93, 'url': 'https://preview.redd.it/ao8lyyta13hg1.png?width=108&crop=smart&auto=webp&s=d7e8a2d31b263a88873833e7f2d128c6c7270bee', 'width': 108}, {'height': 186, 'url': 'https://preview.redd.it/ao8lyyta13hg1.png?width=216&crop=smart&auto=web... | |
Model suggestion | 1 | I am creating a writing agent for my personal use which I'll run on my mobile and laptop, whihc model should I use Gemma 3n E4B-it or any other suggestions? | 2026-02-02T13:25:49 | https://www.reddit.com/r/LocalLLaMA/comments/1qtuyyk/model_suggestion/ | distan_to-reality_66 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtuyyk | false | null | t3_1qtuyyk | /r/LocalLLaMA/comments/1qtuyyk/model_suggestion/ | false | false | self | 1 | null |
Local model fully replacing subscription service | 51 | I'm really impressed with local models on a Macbook Pro M4 Pro with 24GB memory. For my usecase, I don't really see the need anymore for a subscription model. While I'm a pretty heavy user of ChatGPT, I don't really ask complicated questions usually. It's mostly "what does the research say about this", "who is that", "... | 2026-02-02T13:22:41 | https://www.reddit.com/r/LocalLLaMA/comments/1qtuwe7/local_model_fully_replacing_subscription_service/ | Icy_Distribution_361 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtuwe7 | false | null | t3_1qtuwe7 | /r/LocalLLaMA/comments/1qtuwe7/local_model_fully_replacing_subscription_service/ | false | false | self | 51 | null |
How do you use the web search function for gpt-oss? | 0 | Supposedly people in here were saying it’s possible. Does it require something else other than llamacpp in order for it to work? | 2026-02-02T13:20:49 | https://www.reddit.com/r/LocalLLaMA/comments/1qtuuw2/how_do_you_use_the_web_search_function_for_gptoss/ | XiRw | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtuuw2 | false | null | t3_1qtuuw2 | /r/LocalLLaMA/comments/1qtuuw2/how_do_you_use_the_web_search_function_for_gptoss/ | false | false | self | 0 | null |
Agents should learn skills on demand. I built Skyll (open source) to make it real. | 1 | [removed] | 2026-02-02T13:14:51 | https://www.reddit.com/r/LocalLLaMA/comments/1qtuptv/agents_should_learn_skills_on_demand_i_built/ | Legal-Dragonfruit845 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtuptv | false | null | t3_1qtuptv | /r/LocalLLaMA/comments/1qtuptv/agents_should_learn_skills_on_demand_i_built/ | false | false | self | 1 | null |
Best LLM for analyzing movie scripts? | 0 | I’m doing my final degree project, where I need to analyze +2300 movie scripts ( in plain text) and extract key insights such as number of scenes, genre, mention of racism/ homophobia, character relationship types,… and store them in a structured JSON.
Which would be the best language model for this? I’ve thought abo... | 2026-02-02T13:14:16 | https://www.reddit.com/r/LocalLLaMA/comments/1qtupaf/best_llm_for_analyzing_movie_scripts/ | ConfidenceDry8294 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtupaf | false | null | t3_1qtupaf | /r/LocalLLaMA/comments/1qtupaf/best_llm_for_analyzing_movie_scripts/ | false | false | self | 0 | null |
The Authors of Themselves | 0 | 2026-02-02T13:13:34 | https://aleph.press/fff5ee | SufficientRadio | aleph.press | 1970-01-01T00:00:00 | 0 | {} | 1qtuoqo | false | null | t3_1qtuoqo | /r/LocalLLaMA/comments/1qtuoqo/the_authors_of_themselves/ | false | false | default | 0 | null | |
Tired of "Security-as-a-Service" that’s just a data-leak waiting to happen? I built GuardWave: The industry has a "Cloud-First" problem. | 0 | Every security tool today wants to phone home, upload your system logs to a proprietary server, and charge you a monthly fee to tell you your own business. If your security tool requires an internet connection to "protect" you, you don't have a sentry—you have a spy.
I’m part of the BlueRing Security team, and our phi... | 2026-02-02T13:01:55 | https://www.reddit.com/r/LocalLLaMA/comments/1qtufb5/tired_of_securityasaservice_thats_just_a_dataleak/ | RevolutionaryBit5470 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtufb5 | false | null | t3_1qtufb5 | /r/LocalLLaMA/comments/1qtufb5/tired_of_securityasaservice_thats_just_a_dataleak/ | true | false | spoiler | 0 | null |
I benchmarked the Top 20 LLMs by Price vs. Latency. Liquid AI (LFM2) is currently crushing Llama 3.2 on efficiency | 0 | ERROR: type should be string, got "https://preview.redd.it/jubj5i46w2hg1.png?width=1584&format=png&auto=webp&s=c4756d2a9a32b1003d75a8d1981eeb2e10d00a5a\n\n# Key Takeaways (Week 6):\n\n* **The Value Leader:** Liquid AI sweeps the top 2 spots. Their LFM2 models are \\~50% cheaper than the competition, giving them the highest Efficiency Scores despite moderate latency.\n* **The Speed Demons:** If latency is your priority, Ministral 3B (#5) and Llama Guard 3 8B (#4) are the clear winners, both clocking in under **0.20s**.\n* **Small is Big:** The entire Top 5 is dominated by efficient models under 10B parameters. The era of massive, expensive models for everyday tasks is ending.\n\n**Full Interactive Chart & Raw CSV:** [**https://the-compute-index.beehiiv.com/live-index**](https://the-compute-index.beehiiv.com/live-index)" | 2026-02-02T12:59:44 | https://www.reddit.com/r/LocalLLaMA/comments/1qtudbw/i_benchmarked_the_top_20_llms_by_price_vs_latency/ | Vilxs2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtudbw | false | null | t3_1qtudbw | /r/LocalLLaMA/comments/1qtudbw/i_benchmarked_the_top_20_llms_by_price_vs_latency/ | false | false | 0 | null | |
GLM 5 Coming Soon | 117 | 2026-02-02T12:54:04 | https://www.reddit.com/r/LocalLLaMA/comments/1qtu8x1/glm_5_coming_soon/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtu8x1 | false | null | t3_1qtu8x1 | /r/LocalLLaMA/comments/1qtu8x1/glm_5_coming_soon/ | false | false | 117 | null | ||
Built an age verification for AI models. "Small Language Models may find this content disturbing." | 0 | 2026-02-02T12:52:44 | https://www.reddit.com/r/LocalLLaMA/comments/1qtu7xb/built_an_age_verification_for_ai_models_small/ | Wooden-Recognition97 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtu7xb | false | null | t3_1qtu7xb | /r/LocalLLaMA/comments/1qtu7xb/built_an_age_verification_for_ai_models_small/ | false | false | 0 | null | ||
I created moltfight, a platform where agent argue fight and get judged by other agents | 1 | [removed] | 2026-02-02T12:31:41 | SwissSolution | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qttsca | false | null | t3_1qttsca | /r/LocalLLaMA/comments/1qttsca/i_created_moltfight_a_platform_where_agent_argue/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'znjhiw3bs2hg1', 'resolutions': [{'height': 194, 'url': 'https://preview.redd.it/znjhiw3bs2hg1.jpeg?width=108&crop=smart&auto=webp&s=c9bd8f20a5fa679801a92a115801427556dba7e5', 'width': 108}, {'height': 388, 'url': 'https://preview.redd.it/znjhiw3bs2hg1.jpeg?width=216&crop=smart&auto=... | |
devstral small is faster and better than glm 4.7 flash for local agentic coding. | 133 | i just realised token per second is not the only thing that matters in agentic coding. glm 4.7 flash is almlst 3x faster but it keeps thinking for way more than 3 times the total tokens it generates so yes at the end devstral small finishes the task slighter faster than glm 4.7 flash. while obiously being much much bet... | 2026-02-02T12:28:47 | https://www.reddit.com/r/LocalLLaMA/comments/1qttq5w/devstral_small_is_faster_and_better_than_glm_47/ | theghost3172 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qttq5w | false | null | t3_1qttq5w | /r/LocalLLaMA/comments/1qttq5w/devstral_small_is_faster_and_better_than_glm_47/ | false | false | self | 133 | null |
PAIRL - A Protocol for efficient Agent Communication with Hallucination Guardrails | 0 | PAIRL enforces efficient, cost-trackable communication between agents. It uses lossy and lossless channels to avoid context errors and hallucinations.
Find the Specs on gh:
[https://github.com/dwehrmann/PAIRL](https://github.com/dwehrmann/PAIRL)
Feedback welcome! | 2026-02-02T10:48:45 | https://www.reddit.com/r/LocalLLaMA/comments/1qtru5p/pairl_a_protocol_for_efficient_agent/ | ZealousidealCycle915 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtru5p | false | null | t3_1qtru5p | /r/LocalLLaMA/comments/1qtru5p/pairl_a_protocol_for_efficient_agent/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'jKCG7KlUe53KQX9yPVirvp5L9dw4KxWXf80hX-qqyM4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/jKCG7KlUe53KQX9yPVirvp5L9dw4KxWXf80hX-qqyM4.png?width=108&crop=smart&auto=webp&s=ed9a74e7de21796a25c69c5ae5b5f0240522f001', 'width': 108}, {'height': 108, 'url': 'h... |
Your favorite short prompts to get a feel for a model | 1 | What are your favorite short prompts to get a feel for a new model?
Here are is own absolute favorite:
- **What be a pirate's favorite programming language?**
There are **two** good answers and even SOTA models will not always consider both and most small models will not be able to get even one.
Let's avoid spellin... | 2026-02-02T10:46:30 | https://www.reddit.com/r/LocalLLaMA/comments/1qtrsqi/your_favorite_short_prompts_to_get_a_feel_for_a/ | reto-wyss | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtrsqi | false | null | t3_1qtrsqi | /r/LocalLLaMA/comments/1qtrsqi/your_favorite_short_prompts_to_get_a_feel_for_a/ | false | false | self | 1 | null |
[WSL2/ROCm] RX 9070 XT "Zombie" State: Fast Compute but Inconsistent Hangs & Missing /dev/kfd | 0 | Hi everyone,
I followed the official AMD ROCm -> PyTorch installation guide for WSL2 (https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/install/installrad/wsl/install-radeon.html + the next page “Install PyTorch for ROCm”) on an AMD Radeon RX 9070 XT (gfx1200) under Ubuntu 22.04, Windows 11. But I think i... | 2026-02-02T10:34:06 | https://www.reddit.com/r/LocalLLaMA/comments/1qtrl7t/wsl2rocm_rx_9070_xt_zombie_state_fast_compute_but/ | bajanstar123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtrl7t | false | null | t3_1qtrl7t | /r/LocalLLaMA/comments/1qtrl7t/wsl2rocm_rx_9070_xt_zombie_state_fast_compute_but/ | false | false | self | 0 | null |
Built a Ralph Wiggum Infinite Loop for novel research - after 103 questions, the winner is... | 0 | **⚠️ WARNING:**
*The obvious flaw: I'm asking an LLM to do novel research, then asking 5 copies of the same LLM to QA that research. It's pure Ralph Wiggum energy - "I'm helping!" They share the same knowledge cutoff, same biases, same blind spots. If the researcher doesn't know something is already solved, neither w... | 2026-02-02T10:30:18 | shanraisshan | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtrivj | false | null | t3_1qtrivj | /r/LocalLLaMA/comments/1qtrivj/built_a_ralph_wiggum_infinite_loop_for_novel/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '9d0cpjqg62hg1', 'resolutions': [{'height': 90, 'url': 'https://preview.redd.it/9d0cpjqg62hg1.png?width=108&crop=smart&auto=webp&s=8173ebc13bbf6ef4763a4efcdad4007e20ac61d9', 'width': 108}, {'height': 180, 'url': 'https://preview.redd.it/9d0cpjqg62hg1.png?width=216&crop=smart&auto=web... | |
[R] Practical limits of training vision-language models on video with limited hardware | 1 | Hey folks, I need some honest guidance from people who’ve actually trained multimodal models.
I’m a 3rd-year CS student, fairly new to this, trying to fine-tune a vision-language model for esports (Valorant) analysis — basically: video + transcript → structured coaching commentary.... cause i suck at making strats...
... | 2026-02-02T10:29:00 | https://www.reddit.com/r/LocalLLaMA/comments/1qtri22/r_practical_limits_of_training_visionlanguage/ | WRAITH330 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtri22 | false | null | t3_1qtri22 | /r/LocalLLaMA/comments/1qtri22/r_practical_limits_of_training_visionlanguage/ | false | false | self | 1 | null |
Would a Quadro m6000 24gb be a okay gpu to get into llm inference? | 2 | I can pick one up for $180 and was wondering if it would be okay to get started, it seems alright for inference, I mean 24gb of ecc vram, and compute seems okay at 6.8 fp32 tflops. Also what models should I target 22b q5\_k\_m, or 30b q4\_k\_m or other? | 2026-02-02T10:19:02 | https://www.reddit.com/r/LocalLLaMA/comments/1qtrbwh/would_a_quadro_m6000_24gb_be_a_okay_gpu_to_get/ | Busy-Statement-450 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtrbwh | false | null | t3_1qtrbwh | /r/LocalLLaMA/comments/1qtrbwh/would_a_quadro_m6000_24gb_be_a_okay_gpu_to_get/ | false | false | self | 2 | null |
these days for ai :) | 1 | [removed] | 2026-02-02T10:18:09 | https://www.reddit.com/r/LocalLLaMA/comments/1qtrbc0/these_days_for_ai/ | AmbassadorOk934 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtrbc0 | false | null | t3_1qtrbc0 | /r/LocalLLaMA/comments/1qtrbc0/these_days_for_ai/ | false | false | self | 1 | null |
Playing Civilization VI with a Computer-Use agent | 80 | With recent advances in VLMs, Computer-Use—AI directly operating a real computer—has gained a lot of attention.
That said, most demos still rely on clean, API-controlled environments.
To push beyond that, I’m using Civilization VI, a complex turn-based strategy game, as the testbed.
The agent doesn’t receive struct... | 2026-02-02T09:56:52 | https://v.redd.it/pxraikg502hg1 | Working_Original9624 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtqy6f | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/pxraikg502hg1/DASHPlaylist.mpd?a=1772618225%2CYTAyZmY0MWJhMDU0Zjc1ZjljMmNkOTQ0NzcwNGI4Y2MwMDkwZDgzZTcwN2I4ZmUxMWFjZGIxOTZkNDdlN2EzYQ%3D%3D&v=1&f=sd', 'duration': 28, 'fallback_url': 'https://v.redd.it/pxraikg502hg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1qtqy6f | /r/LocalLLaMA/comments/1qtqy6f/playing_civilization_vi_with_a_computeruse_agent/ | false | false | 80 | {'enabled': False, 'images': [{'id': 'aG01OHh4ZzUwMmhnMSU9p-WqwsrPdmT3GD6YCmDr1IKgEI58rOR3KY0kqV6w', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/aG01OHh4ZzUwMmhnMSU9p-WqwsrPdmT3GD6YCmDr1IKgEI58rOR3KY0kqV6w.png?width=108&crop=smart&format=pjpg&auto=webp&s=2cbe282151629589914cec5aaa57174a0cdfe... | |
I built a local, privacy-first Log Analyzer using Ollama & Llama 3 (No OpenAI) | 0 | Hi everyone!
I work as an MLOps engineer and realized I couldn't use ChatGPT to analyze server logs due to privacy concerns (PII, IP addresses, etc.).
So I built **LogSentinel** — an open-source tool that runs 100% locally.
**What it does:**
1. Ingests logs via API.
2. Masks sensitive data (Credit Cards, IPs) using... | 2026-02-02T09:50:03 | https://www.reddit.com/r/LocalLLaMA/comments/1qtqu5m/i_built_a_local_privacyfirst_log_analyzer_using/ | nagibatormodulator | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtqu5m | false | null | t3_1qtqu5m | /r/LocalLLaMA/comments/1qtqu5m/i_built_a_local_privacyfirst_log_analyzer_using/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '_AcAFDFQ2zUVrm7enKDF_D7SLkGICpdU2B72H6vbY68', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/_AcAFDFQ2zUVrm7enKDF_D7SLkGICpdU2B72H6vbY68.png?width=108&crop=smart&auto=webp&s=64601480c4806f57d46b7a5856f6201a92406f99', 'width': 108}, {'height': 108, 'url': 'h... |
I built a local, privacy-first Log Analyzer using Ollama & Llama 3 (No OpenAI) | 1 | Hi everyone!
I work as an MLOps engineer and realized I couldn't use ChatGPT to analyze server logs due to privacy concerns (PII, IP addresses, etc.).
So I built LogSentinel — an open-source tool that runs 100% locally.
What it does:
1. Ingests logs via API.
2. Masks sensitive data (Credit Cards, IPs) using Regex b... | 2026-02-02T09:49:25 | https://www.reddit.com/r/LocalLLaMA/comments/1qtqtrq/i_built_a_local_privacyfirst_log_analyzer_using/ | nagibatormodulator | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtqtrq | false | null | t3_1qtqtrq | /r/LocalLLaMA/comments/1qtqtrq/i_built_a_local_privacyfirst_log_analyzer_using/ | false | false | self | 1 | null |
1 Day Left Until ACE-Step 1.5 — Open-Source Music Gen That Runs on <4GB VRAM Open suno alternative (and yes, i made this frontend) | 182 | An open-source model with quality approaching Suno v4.5/v5... running locally on a potato GPU. No subscriptions. No API limits. Just you and your creativity.
We're so lucky to be in this era of open-source AI. A year ago this was unthinkable. | 2026-02-02T09:47:32 | https://v.redd.it/2geqqfooy1hg1 | ExcellentTrust4433 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtqspu | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/2geqqfooy1hg1/DASHPlaylist.mpd?a=1772617668%2CODFlZjY0MjA2ZWI2YjNjMWIwZGVhYmU5YzU0MWMwOTdkMGUyYmNjYzVhNDgzZWJkODVkNjdmMzlmZTNlNWJmZA%3D%3D&v=1&f=sd', 'duration': 69, 'fallback_url': 'https://v.redd.it/2geqqfooy1hg1/CMAF_1080.mp4?source=fallback', 'h... | t3_1qtqspu | /r/LocalLLaMA/comments/1qtqspu/1_day_left_until_acestep_15_opensource_music_gen/ | false | false | 182 | {'enabled': False, 'images': [{'id': 'dXBiYXJlb295MWhnMYGTlVfp4XddQFbQ7RXlmhemkMaIRdSQh0Jy7FObZ7qD', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/dXBiYXJlb295MWhnMYGTlVfp4XddQFbQ7RXlmhemkMaIRdSQh0Jy7FObZ7qD.png?width=108&crop=smart&format=pjpg&auto=webp&s=8125480124e62d449bd162a9da5ccdbcb7d7d... | |
RPC Overhead or Memory Strategy? | 2 | So, experimenting trying to get the biggest models I can to run as fast as possible on the hardware I have...
Thought I'd try RPC, in my testing I tried comparing running GLM-4.7-Flash-Q8 normally on my server (rtx2060 6gb currently for testing) and then RPC on the same server w/the same GPU.
I got \~5tk/s normally w... | 2026-02-02T09:38:36 | https://www.reddit.com/r/LocalLLaMA/comments/1qtqngy/rpc_overhead_or_memory_strategy/ | Forbidden-era | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtqngy | false | null | t3_1qtqngy | /r/LocalLLaMA/comments/1qtqngy/rpc_overhead_or_memory_strategy/ | false | false | self | 2 | null |
Sick of 'Black Box' aggregators. Building a coding plan with radical transparency (verifiable model sources). Is this something you'd actually use? | 0 | Hi everyone — we’re building a developer-focused MaaS platform that lets you access multiple LLMs through one API key, with an optional “coding plan”.
Here’s the thing: Most aggregators I’ve used feel... suspicious.
* **The "Black Box" problem:** You pay a subscription but never know the real token limits or the hidd... | 2026-02-02T09:31:53 | https://www.reddit.com/r/LocalLLaMA/comments/1qtqjon/sick_of_black_box_aggregators_building_a_coding/ | Melodyqqt | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtqjon | false | null | t3_1qtqjon | /r/LocalLLaMA/comments/1qtqjon/sick_of_black_box_aggregators_building_a_coding/ | false | false | self | 0 | null |
Decision Memory Agent | 0 | I think this post has some real potential to solve the customer support problem.
[https://www.linkedin.com/posts/disha-jain-482186287\_i-was-interning-at-a-very-early-stage-startup-activity-7422970130495635456-j-VZ?utm\_source=share&utm\_medium=member\_desktop&rcm=ACoAAF-b6-MBLMO-Kb8iZB9FzXDEP\_v1L-KWW\_8](https://ww... | 2026-02-02T09:22:53 | https://www.reddit.com/r/LocalLLaMA/comments/1qtqem0/decision_memory_agent/ | Right-Read7891 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtqem0 | false | null | t3_1qtqem0 | /r/LocalLLaMA/comments/1qtqem0/decision_memory_agent/ | false | false | self | 0 | null |
ChatGPT's Epstien List. Including Cannibals, Devil Worshippers. Is there no hope to punish them? | 0 | # ChatGPT's Epstien List. Including Cannibals, Devil Worshippers. Is there no hope to punish them?
| 2026-02-02T08:59:57 | https://www.reddit.com/gallery/1qtq1eg | UniqueIncident7412 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qtq1eg | false | null | t3_1qtq1eg | /r/LocalLLaMA/comments/1qtq1eg/chatgpts_epstien_list_including_cannibals_devil/ | false | false | 0 | null | |
Im trying to understand if getting a used 3060 12gb as a second card is a good idea or not | 4 | I have a pc with:
R9 9900x, 64GB ddr5 6000 cl30, rtx 4070 ti super
Im running llms that dont fit in the gpu, like glm4.7flash (q4). I get about 75 tkps in llama cpp with cpu offload, how will adding an rtx 3060 12gb be? It will be connected to pcie gen4x4 (will not affect anything else that connected to the motherboar... | 2026-02-02T08:38:31 | https://www.reddit.com/r/LocalLLaMA/comments/1qtpp5z/im_trying_to_understand_if_getting_a_used_3060/ | Raven-002 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtpp5z | false | null | t3_1qtpp5z | /r/LocalLLaMA/comments/1qtpp5z/im_trying_to_understand_if_getting_a_used_3060/ | false | false | self | 4 | null |
Best model for M3 Ultra Mac 512GB RAM to run openclaw? | 0 | Which open source model will be best with accuracy and speed tradoff. | 2026-02-02T08:02:55 | https://www.reddit.com/r/LocalLLaMA/comments/1qtp4cv/best_model_for_m3_ultra_mac_512gb_ram_to_run/ | unique_thinker_2004 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtp4cv | false | null | t3_1qtp4cv | /r/LocalLLaMA/comments/1qtp4cv/best_model_for_m3_ultra_mac_512gb_ram_to_run/ | false | false | self | 0 | null |
A concise list of CLI coding tools similar to Claude Code | 4 | 2026-02-02T07:48:29 | https://github.com/omarabid/cli-llm-coding | omarous | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qtovkl | false | null | t3_1qtovkl | /r/LocalLLaMA/comments/1qtovkl/a_concise_list_of_cli_coding_tools_similar_to/ | false | false | default | 4 | {'enabled': False, 'images': [{'id': 'e8LeKEXnh1rNGS7w2PM5NtzNbfKL_22okWgABQrx7Uk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/e8LeKEXnh1rNGS7w2PM5NtzNbfKL_22okWgABQrx7Uk.png?width=108&crop=smart&auto=webp&s=0f522969af6d132f304b6764b9e5063ecbdc78ae', 'width': 108}, {'height': 108, 'url': 'h... | |
CISA acting director reportedly uploaded sensitive documents to ChatGPT | 58 | The Acting Director of CISA, the top cybersecurity agency in the US, was just caught uploading sensitive government documents to the PUBLIC version of ChatGPT. He reportedly bypassed his own agency's security blocks to do it. | 2026-02-02T07:46:50 | https://www.scworld.com/brief/cisa-acting-director-reportedly-uploaded-sensitive-documents-to-chatgpt | EchoOfOppenheimer | scworld.com | 1970-01-01T00:00:00 | 0 | {} | 1qtoukf | false | null | t3_1qtoukf | /r/LocalLLaMA/comments/1qtoukf/cisa_acting_director_reportedly_uploaded/ | false | false | default | 58 | null |
Server RAM prices going down? | 0 | In your opinion, when will ECC DDR5 sever RAM prices go down? Will the prices drop in the forseeable future, or will they stay at current levels? | 2026-02-02T07:33:47 | https://www.reddit.com/r/LocalLLaMA/comments/1qtomyq/server_ram_prices_going_down/ | Leather-Block-1369 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtomyq | false | null | t3_1qtomyq | /r/LocalLLaMA/comments/1qtomyq/server_ram_prices_going_down/ | false | false | self | 0 | null |
Innovations we need | 0 | This one is of importance to anyone without huge VRAM (like all of /r/LocalLLaMA):
We need mixture-of-experts where experts have some assigned area of knowledge. So when you are programming you turn off experts for history and geography unless you would need them for the task and when you are doing historic role play,... | 2026-02-02T07:04:58 | https://www.reddit.com/r/LocalLLaMA/comments/1qto56w/innovations_we_need/ | jtra | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qto56w | false | null | t3_1qto56w | /r/LocalLLaMA/comments/1qto56w/innovations_we_need/ | false | false | self | 0 | null |
Autonomous Code Generation by 5 coordinated frontier AIs | 1 | [removed] | 2026-02-02T06:59:33 | https://www.reddit.com/r/LocalLLaMA/comments/1qto1pu/autonomous_code_generation_by_5_coordinated/ | Natural-Sentence-601 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qto1pu | false | null | t3_1qto1pu | /r/LocalLLaMA/comments/1qto1pu/autonomous_code_generation_by_5_coordinated/ | false | false | self | 1 | null |
LLM agent psychosis is getting out of hand... | 1 | [removed] | 2026-02-02T06:58:13 | https://www.reddit.com/r/LocalLLaMA/comments/1qto0vk/llm_agent_psychosis_is_getting_out_of_hand/ | noellarkin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qto0vk | false | null | t3_1qto0vk | /r/LocalLLaMA/comments/1qto0vk/llm_agent_psychosis_is_getting_out_of_hand/ | false | false | self | 1 | null |
Best Local Model for Openclaw | 11 | I have recently tried gpt-oss 20b for openclaw and it performed awfully...
openclaw requires so much context and small models intelligence degrades with such amount of context.
any thoughts about it and any ideas how to make the local models to perform better? | 2026-02-02T06:55:41 | https://www.reddit.com/r/LocalLLaMA/comments/1qtnz9s/best_local_model_for_openclaw/ | FeiX7 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtnz9s | false | null | t3_1qtnz9s | /r/LocalLLaMA/comments/1qtnz9s/best_local_model_for_openclaw/ | false | false | self | 11 | null |
Don’t Just Play, Analyze: The Future of High-Stakes Game Review.
Preview: I’m using Gemini 1.5 Flash to bridge the gap between "playing" and "winning." Here is the Python infrastructure that watches the tape and tells me where I went wrong. | 0 | 2026-02-02T06:27:04 | https://youtube.com/shorts/GiNl0ZdCGug | Apprehensive_Rub_221 | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1qtnh0c | false | {'oembed': {'author_name': 'Simeon Reece', 'author_url': 'https://www.youtube.com/@reeceCode', 'height': 200, 'html': '<iframe width="113" height="200" src="https://www.youtube.com/embed/GiNl0ZdCGug?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope... | t3_1qtnh0c | /r/LocalLLaMA/comments/1qtnh0c/dont_just_play_analyze_the_future_of_highstakes/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'C1swZ1RVQo3-ph4EE8-1Ij99z4xFcU_bb7osQ9xDEJ8', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/C1swZ1RVQo3-ph4EE8-1Ij99z4xFcU_bb7osQ9xDEJ8.jpeg?width=108&crop=smart&auto=webp&s=a42506aaa18039cc302bef9f2fc1a3ff8491e6af', 'width': 108}, {'height': 162, 'url': '... | ||
6 Healthy Snacks Under 100 Calories and the last one will surprise you. | 1 | [removed] | 2026-02-02T06:01:10 | https://newsaffairng.com/2024/05/05/6-healthy-snacks-under-100-calories/ | Jawabill10 | newsaffairng.com | 1970-01-01T00:00:00 | 0 | {} | 1qtn03w | false | null | t3_1qtn03w | /r/LocalLLaMA/comments/1qtn03w/6_healthy_snacks_under_100_calories_and_the_last/ | false | false | default | 1 | null |
anyone want early access to a local-first trainer for LLM/CV/tabular? | 1 | Hey guys, I made a tool called Uni Trainer, in short - local-first desktop application that lets founders, small teams, and researchers train, test, and iterate on AI models without building complex ML infrastructure. It unifies training and inference for computer vision, tabular ML, and LLM fine-tuning in a simple wor... | 2026-02-02T06:00:46 | https://www.reddit.com/r/LocalLLaMA/comments/1qtmzrl/anyone_want_early_access_to_a_localfirst_trainer/ | PristineImplement201 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtmzrl | false | null | t3_1qtmzrl | /r/LocalLLaMA/comments/1qtmzrl/anyone_want_early_access_to_a_localfirst_trainer/ | false | false | self | 1 | null |
Why is RVC still the king of STS after 2 years of silence? Is there a technical plateau? | 24 | Hey everyone,
I have been thinking about where Speech to Speech (STS) is heading for music use. RVC has not seen a major update in ages and I find it strange that we are still stuck with it. Even with the best forks like Applio or Mangio, those annoying artifacts and other issues are still present in almost every rend... | 2026-02-02T05:04:32 | https://www.reddit.com/r/LocalLLaMA/comments/1qtlxnz/why_is_rvc_still_the_king_of_sts_after_2_years_of/ | lnkhey | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtlxnz | false | null | t3_1qtlxnz | /r/LocalLLaMA/comments/1qtlxnz/why_is_rvc_still_the_king_of_sts_after_2_years_of/ | false | false | self | 24 | null |
LLM to try for laptop with 5070TI and 64gb RAM | 0 | I just got a Lenovo Legion Pro 7i with Intel 275HX along with 5070TI (12gb) and got 64gb of RAM. I'm very new to LLMverse so please suggest some models that will be usable with these specs. | 2026-02-02T05:00:22 | https://www.reddit.com/r/LocalLLaMA/comments/1qtluei/llm_to_try_for_laptop_with_5070ti_and_64gb_ram/ | hocuspocus4201 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtluei | false | null | t3_1qtluei | /r/LocalLLaMA/comments/1qtluei/llm_to_try_for_laptop_with_5070ti_and_64gb_ram/ | false | false | self | 0 | null |
SlideBot: An Open Source Agent for automating investment decks (Python/FastAPI/Gemini). Strictly follows corporate templates. | 0 | ERROR: type should be string, got "https://preview.redd.it/f93i1pqdj0hg1.png?width=1201&format=png&auto=webp&s=dc2fd68a05b7c7abb6f23d23240700fc2442d5f1\n\nHey r/LocalLLaMA ,\n\nA few months ago, a fund manager friend vented to me about his workflow. He’s brilliant at investment logic but spends 90% of his time being a **\"glorified slide formatter.\"**\n\nHe had the ideas (often in rambling voice notes), the data (in complex **Excel** sheets), and \nthe background info (in **PDF** reports and **Word** drafts). But turning that scattered mess into a polished deck for the Investment Committee took him *days*.\n\nWe tried existing AI tools, but they all failed on two things:\n\n1. **Data handling:** They hallucinated numbers or couldn't read his specific documents.\n\n2. **Aesthetics:** The designs looked like generic \"AI slop\" or didn't match our strict \ncorporate branding (VI).\n\nSo, I built **SlideBot**. It’s an open-source agent designed for high-stakes professional \nuse, not just for making school presentations.\n\n**What it actually does:**\n\n· **Digests your \"Messy Reality\" :** It doesn’t just take a text prompt. You can upload PDF reports, Word drafts, previous PPT decks, or **meeting audio**. It uses AI to extract the logic, filter the fluff, and build a structured storyline based on *your* actual files.\n\n· **Native Excel Support:** Drop in an Excel file. It understands the rows/columns and decides whether to visualize it as a chart or present key figures. **No more copy-pasting screenshots.**\n\n· **\"Pixel-Perfect\" Brand Compliance:** This is the killer feature for us. You upload a master template (screenshot or file). The AI analyzes the hex codes, fonts, and layout, then **forces** the generation to strictly follow your company's VI. No more \"random creative\" designs.\n\n**The Tech Stack:**\n\n· **Backend:** Python 3.10+ / FastAPI (Async)\n\n· **LLM:** Google Gemini (Multimodal capabilities for reading charts/layout) + iFlytek (for ASR)\n\n· **Frontend:** React\n\n· **Deployment:** Docker ready\n\nIt’s currently being used internally at our fund, but I decided to open-source it because I think consultants, lawyers, and analysts suffer from the same pain points.\n\nThe code is MIT licensed. Would love for you guys to roast my architecture or give it a spin.\n\n" | 2026-02-02T04:58:56 | https://www.reddit.com/r/LocalLLaMA/comments/1qtltbb/slidebot_an_open_source_agent_for_automating/ | Radiant_Payment9333 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtltbb | false | null | t3_1qtltbb | /r/LocalLLaMA/comments/1qtltbb/slidebot_an_open_source_agent_for_automating/ | false | false | 0 | null | |
My Fund Manager boss was pulling all-nighters for his decks, so I open-sourced our internal AI tool to save him. | 0 | [removed] | 2026-02-02T04:46:54 | https://www.reddit.com/r/LocalLLaMA/comments/1qtlkms/my_fund_manager_boss_was_pulling_allnighters_for/ | Radiant_Payment9333 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtlkms | false | null | t3_1qtlkms | /r/LocalLLaMA/comments/1qtlkms/my_fund_manager_boss_was_pulling_allnighters_for/ | false | false | 0 | null | |
Is AI “good” yet? – A website that analyzes Hacker News sentiment toward AI coding. | 1 | [removed] | 2026-02-02T04:36:38 | https://www.is-ai-good-yet.com/ | spunch | is-ai-good-yet.com | 1970-01-01T00:00:00 | 0 | {} | 1qtld8h | false | null | t3_1qtld8h | /r/LocalLLaMA/comments/1qtld8h/is_ai_good_yet_a_website_that_analyzes_hacker/ | false | false | default | 1 | null |
Neumann: I was an Engineer for some of the worlds largest banks and defence contractors. I built a unified database to help Engineers create strong AI POC before having to integrate fully. It includes a Semantic Cache and AI Vault for security and access with database rollbacks on destructive ops. | 1 | Hey guys! I am an Infrastructure Engineer turned Systems Architect who has worked for most of the worlds largest banks and defence contractors. Today I am open sourcing a piece of Infrastructure I built to address alot of issues I am seeing with engineers trying to glue together multiple databases to suffice the needs ... | 2026-02-02T04:33:45 | https://www.reddit.com/r/LocalLLaMA/comments/1qtlb4l/neumann_i_was_an_engineer_for_some_of_the_worlds/ | CoopaScoopa | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtlb4l | false | null | t3_1qtlb4l | /r/LocalLLaMA/comments/1qtlb4l/neumann_i_was_an_engineer_for_some_of_the_worlds/ | false | false | self | 1 | null |
Visual breakdown of a prompt injection attack against an LLM chatbot | 1 | 2026-02-02T04:06:45 | Btsowa | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qtkqxd | false | null | t3_1qtkqxd | /r/LocalLLaMA/comments/1qtkqxd/visual_breakdown_of_a_prompt_injection_attack/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'intdpfw7a0hg1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/intdpfw7a0hg1.jpeg?width=108&crop=smart&auto=webp&s=8dab564de8b09a76d793f655034c369415f64f7d', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/intdpfw7a0hg1.jpeg?width=216&crop=smart&auto=w... | ||
Looking for tips and tricks for spatial awareness in AI | 0 | # The Problem
Models lose track of where characters physically are and what time it is in the scene. Examples from actual outputs:
**Location teleportation:**
* Characters are sitting in a pub booth having a conversation
* Model ends the scene with: "she melts into the shadows of the alleyway"
* What alleyway? They ... | 2026-02-02T03:34:17 | https://www.reddit.com/r/LocalLLaMA/comments/1qtk2bl/looking_for_tips_and_tricks_for_spatial_awareness/ | yofache | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qtk2bl | false | null | t3_1qtk2bl | /r/LocalLLaMA/comments/1qtk2bl/looking_for_tips_and_tricks_for_spatial_awareness/ | false | false | self | 0 | null |
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