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Are 32k-Token Embedding Models Real Innovation or Just Marketing? | 8 | **What do you think about embedding models that support input context lengths of up to 32k tokens?**
For example, Voyage 3 or Voyage 3.5 (from MongoDB).
Is it just marketing, or does it make a real difference in practice?
Also, which closed-source embedding model would you recommend for top-tier performance? | 2025-11-04T11:00:08 | https://www.reddit.com/r/LocalLLaMA/comments/1oo4h0q/are_32ktoken_embedding_models_real_innovation_or/ | CapitalShake3085 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo4h0q | false | null | t3_1oo4h0q | /r/LocalLLaMA/comments/1oo4h0q/are_32ktoken_embedding_models_real_innovation_or/ | false | false | self | 8 | null |
Finetuning DeepSeek 671B locally with only 80GB VRAM and Server CPU | 3 | Hi, we're the KTransformers team (formerly known for our DeepSeek-V3 local CPU/GPU hybrid inference project).
Today, we're proud to announce full integration with LLaMA-Factory, enabling you to **fine-tune DeepSeek-671B or Kimi-K2-1TB locally with just 4x RTX 4090 GPUs**!
https://preview.redd.it/24938oydy7zf1.png?wid... | 2025-11-04T10:41:38 | https://www.reddit.com/r/LocalLLaMA/comments/1oo462c/finetuning_deepseek_671b_locally_with_only_80gb/ | CombinationNo780 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo462c | false | null | t3_1oo462c | /r/LocalLLaMA/comments/1oo462c/finetuning_deepseek_671b_locally_with_only_80gb/ | false | false | 3 | null | |
Ideal size of llm to make | 0 | I think the ideal size of llm moe would be 30b to 1.5b for pc and 10b to 0.5b for smartphone.
PCs go to 32 GB of RAM and smartphones to 12 to 16 GB of RAM
And therefore the ideal would be 5% of active parameter for efficiency (comparable to the human brain)
And I don't think everyone has or will be able to afford ... | 2025-11-04T10:41:35 | https://www.reddit.com/r/LocalLLaMA/comments/1oo461u/ideal_size_of_llm_to_make/ | MoreIndependent5967 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo461u | false | null | t3_1oo461u | /r/LocalLLaMA/comments/1oo461u/ideal_size_of_llm_to_make/ | false | false | self | 0 | null |
How do you handle local AI model performance across different hardware? | 1 | I recently asked a question about why you think more apps don’t run AI locally, and I received a lot of interesting answers.
Now I have a follow up question. For those of you who have managed to built apps that include AI models that run on-device, how do you handle the issue of models performing differently across di... | 2025-11-04T10:17:54 | https://www.reddit.com/r/LocalLLaMA/comments/1oo3s6f/how_do_you_handle_local_ai_model_performance/ | elinaembedl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo3s6f | false | null | t3_1oo3s6f | /r/LocalLLaMA/comments/1oo3s6f/how_do_you_handle_local_ai_model_performance/ | false | false | self | 1 | null |
Workaround for VRAM unloading after idle period using Vulkan runtime on multi-gpu setup | 2 | So alot of people have been experiencing an issue (Especially in AI) where their vram will unload completely onto system ram after an Idle period especially when using multi-gpu setups.
Ive created a temporary solution until the issue gets fixed.
My code loads 1mb onto the vram and keeps it and the gpu core "Awake" b... | 2025-11-04T10:13:06 | https://www.reddit.com/r/LocalLLaMA/comments/1oo3pdz/workaround_for_vram_unloading_after_idle_period/ | Rombodawg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo3pdz | false | null | t3_1oo3pdz | /r/LocalLLaMA/comments/1oo3pdz/workaround_for_vram_unloading_after_idle_period/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'yejG7MaUSKglNfi3NXxhFybI6s_HehjcGvl7Ck2wCjY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/yejG7MaUSKglNfi3NXxhFybI6s_HehjcGvl7Ck2wCjY.png?width=108&crop=smart&auto=webp&s=2d179a5072764e4e03162689f03f2027b471f97c', 'width': 108}, {'height': 108, 'url': 'h... |
llama.cpp vulkan build is being ignored | 0 | iam trying to make AI model run through my gpu, but all the python files in the project is failing to, even that llama.cpp is in the project.
how do i check that llama.cpp is working? | 2025-11-04T09:16:33 | https://www.reddit.com/r/LocalLLaMA/comments/1oo2ua8/llamacpp_vulkan_build_is_being_ignored/ | AhmadXVX15 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo2ua8 | false | null | t3_1oo2ua8 | /r/LocalLLaMA/comments/1oo2ua8/llamacpp_vulkan_build_is_being_ignored/ | false | false | self | 0 | null |
Help us benchmark Hephaestus on SWEBench-Verified! Watch AI agents solve real bugs + get credited in our report | 1 | Hey everyone! 👋
I've been working on Hephaestus - an open-source framework that changes how we think about AI agent workflows. It's fully open source and
will remain that way.
**The Problem:** Most agentic frameworks make you define every step upfront. But complex tasks don't work like that - you discover what
needs... | 2025-11-04T09:13:49 | https://v.redd.it/cal43bywi7zf1 | Standard_Excuse7988 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oo2su3 | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/cal43bywi7zf1/DASHPlaylist.mpd?a=1764839646%2CZDVhN2VmODdkOWRhZGUzNDA2ODhiNTk5NGIzOGUzMWFmMTRiMDAwZDBlMWIyZTliZmI4MjdmODM5ZThlN2Y5Ng%3D%3D&v=1&f=sd', 'duration': 89, 'fallback_url': 'https://v.redd.it/cal43bywi7zf1/DASH_720.mp4?source=fallback', 'ha... | t3_1oo2su3 | /r/LocalLLaMA/comments/1oo2su3/help_us_benchmark_hephaestus_on_swebenchverified/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'djNvdDhieXdpN3pmMdAkQHndWWJHnvJDGx1uxfxLVUHIG9vtIHStiltBck3-', 'resolutions': [{'height': 46, 'url': 'https://external-preview.redd.it/djNvdDhieXdpN3pmMdAkQHndWWJHnvJDGx1uxfxLVUHIG9vtIHStiltBck3-.png?width=108&crop=smart&format=pjpg&auto=webp&s=29fd82bdb288bab9d4326408a81f48b9dfde8... | |
You can win one DGX Station from Dell | 17 | 2025-11-04T09:05:26 | Cane_P | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oo2olu | false | null | t3_1oo2olu | /r/LocalLLaMA/comments/1oo2olu/you_can_win_one_dgx_station_from_dell/ | false | false | default | 17 | {'enabled': True, 'images': [{'id': 'h8m5jkpgh7zf1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/h8m5jkpgh7zf1.jpeg?width=108&crop=smart&auto=webp&s=fc4fd070d63d71f1d2d9d9ca5338725a98e64e00', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/h8m5jkpgh7zf1.jpeg?width=216&crop=smart&auto=... | ||
[Research] LLM judges systematically penalize balanced reasoning - tested mistral, llama3, gemma, phi3, orca-mini | 22 | I just published a study on LLM judge bias using 5 local models, and the results are pretty interesting for anyone using LLMs as evaluators.
**Paper + full data**: https://zenodo.org/records/17517864 (DOI: 10.5281/zenodo.17517864)
## Setup
Tested these models via Ollama:
- mistral:7b-instruct
- llama3:8b
- gemma:2b-... | 2025-11-04T08:33:12 | https://www.reddit.com/r/LocalLLaMA/comments/1oo279x/research_llm_judges_systematically_penalize/ | Budget-Reception-533 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo279x | false | null | t3_1oo279x | /r/LocalLLaMA/comments/1oo279x/research_llm_judges_systematically_penalize/ | false | false | self | 22 | null |
Memory might be the real missing piece for AI agents | 0 | I’ve been building and testing different AI agent frameworks lately, and it feels like the biggest problem isn’t reasoning anymore - it’s memory.
Most setups can plan and execute fine, but they forget context fast. Vectors help with recall but get messy, and graph or hybrid systems are hard to keep simple.
What I rea... | 2025-11-04T07:49:13 | https://www.reddit.com/r/LocalLLaMA/comments/1oo1jac/memory_might_be_the_real_missing_piece_for_ai/ | VirtualEducator8243 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo1jac | false | null | t3_1oo1jac | /r/LocalLLaMA/comments/1oo1jac/memory_might_be_the_real_missing_piece_for_ai/ | false | false | self | 0 | null |
Open Source Alternative to NotebookLM/Perplexity | 53 | For those of you who aren't familiar with SurfSense, it aims to be the **open-source alternative to NotebookLM, Perplexity, or Glean.**
In short, it's a Highly Customizable AI Research Agent that connects to your personal external sources and Search Engines (SearxNG, Tavily, LinkUp), Slack, Linear, Jira, ClickUp, Conf... | 2025-11-04T07:48:59 | https://www.reddit.com/r/LocalLLaMA/comments/1oo1j5x/open_source_alternative_to_notebooklmperplexity/ | Uiqueblhats | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo1j5x | false | null | t3_1oo1j5x | /r/LocalLLaMA/comments/1oo1j5x/open_source_alternative_to_notebooklmperplexity/ | false | false | self | 53 | {'enabled': False, 'images': [{'id': 'kDr2UVvf22CiXO10O4Duy3TL5LdU-rcBbXcU_t_OHkY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/kDr2UVvf22CiXO10O4Duy3TL5LdU-rcBbXcU_t_OHkY.png?width=108&crop=smart&auto=webp&s=689d73c90372887d0579c8bb7d67ae447f907046', 'width': 108}, {'height': 108, 'url': 'h... |
why don't cerebras add more models like glm, minimax etc? | 0 | 2025-11-04T07:31:11 | https://www.reddit.com/r/LocalLLaMA/comments/1oo19qg/why_dont_cerebras_add_more_models_like_glm/ | DataScientia | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo19qg | false | null | t3_1oo19qg | /r/LocalLLaMA/comments/1oo19qg/why_dont_cerebras_add_more_models_like_glm/ | false | false | 0 | null | ||
Anyone else feel like GPU pricing is still the biggest barrier for open-source AI? | 177 | Even with cheap clouds popping up, costs still hit fast when you train or fine-tune.
How do you guys manage GPU spend for experiments? | 2025-11-04T07:15:29 | https://www.reddit.com/r/LocalLLaMA/comments/1oo1159/anyone_else_feel_like_gpu_pricing_is_still_the/ | frentro_max | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo1159 | false | null | t3_1oo1159 | /r/LocalLLaMA/comments/1oo1159/anyone_else_feel_like_gpu_pricing_is_still_the/ | false | false | self | 177 | null |
Local model for generating small video from photo | 1 | Hello,
What is the best model to generate small video from a person.
The usecase I want to generate video of myself doing sign language of all word my daughter know locally.
I have a 7900xtx the video are very very short. | 2025-11-04T07:04:32 | https://www.reddit.com/r/LocalLLaMA/comments/1oo0uxb/local_model_for_generating_small_video_from_photo/ | Sentenza31 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oo0uxb | false | null | t3_1oo0uxb | /r/LocalLLaMA/comments/1oo0uxb/local_model_for_generating_small_video_from_photo/ | false | false | self | 1 | null |
Qwen is roughly matching the entire American open model ecosystem today | 1,099 | 2025-11-04T05:57:18 | Old-School8916 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onzrg9 | false | null | t3_1onzrg9 | /r/LocalLLaMA/comments/1onzrg9/qwen_is_roughly_matching_the_entire_american_open/ | false | false | 1,099 | {'enabled': True, 'images': [{'id': '8HQyWfNdeEPnoZ-_0csl2hvdYeoq70FC5UHgFNDYryA', 'resolutions': [{'height': 58, 'url': 'https://preview.redd.it/zvugibssj6zf1.png?width=108&crop=smart&auto=webp&s=3a1f1b7857248abc17b1a292808af5b44992a76e', 'width': 108}, {'height': 116, 'url': 'https://preview.redd.it/zvugibssj6zf1.png... | |||
Where are you all sourcing/annotating custom datasets for vision-based LLaMA projects? | 1 | I’ve been playing with local object detection (sports + vehicles), but the hardest part is dataset prep.
I used TagX to scrape and annotate some structured data worked pretty well.
Wondering what the community prefers: DIY annotation, open datasets, or outsourced labeling? | 2025-11-04T05:18:34 | https://www.reddit.com/r/LocalLLaMA/comments/1onz3n2/where_are_you_all_sourcingannotating_custom/ | Due_Construction5400 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onz3n2 | false | null | t3_1onz3n2 | /r/LocalLLaMA/comments/1onz3n2/where_are_you_all_sourcingannotating_custom/ | false | false | self | 1 | null |
Discord Server for NVIDIA DGX Spark and Clone Discussion | 0 | [https://discord.gg/F4VrUqNt](https://discord.gg/F4VrUqNt)
Getting owners together will be good. For instance, we already confirmed across two users that the default ASUS Ascent GX10 has a broken Docker install. | 2025-11-04T05:18:16 | https://www.reddit.com/r/LocalLLaMA/comments/1onz3fi/discord_server_for_nvidia_dgx_spark_and_clone/ | MontageKapalua6302 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onz3fi | false | null | t3_1onz3fi | /r/LocalLLaMA/comments/1onz3fi/discord_server_for_nvidia_dgx_spark_and_clone/ | false | false | self | 0 | null |
How much does the average person value a private LLM? | 81 | I’ve been thinking a lot about the future of local LLMs lately. My current take is that while it will eventually be possible (or maybe already is) for everyone to run very capable models locally, I’m not sure how many people will. For example, many people could run an email server themselves but everyone uses Gmail. Du... | 2025-11-04T05:02:49 | https://www.reddit.com/r/LocalLLaMA/comments/1onytak/how_much_does_the_average_person_value_a_private/ | SelectLadder8758 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onytak | false | null | t3_1onytak | /r/LocalLLaMA/comments/1onytak/how_much_does_the_average_person_value_a_private/ | false | false | self | 81 | null |
Have you heard of this? | 0 | https://github.com/exo-explore/exo
This community is always talking about "mr money-bags" who can run huge models at home, but anyone can do it even with raspberry pis and old college PCs picked up at a tech surplus sale.
Just wanted to share, if you had already heard of it, awesome for you. | 2025-11-04T04:34:40 | https://www.reddit.com/r/LocalLLaMA/comments/1onyaf4/have_you_heard_of_this/ | pieonmyjesutildomine | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onyaf4 | false | null | t3_1onyaf4 | /r/LocalLLaMA/comments/1onyaf4/have_you_heard_of_this/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '1JIynrn_OecpDUNyTTOQuKncvZdNyr1BbXWKts_ZXfk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/1JIynrn_OecpDUNyTTOQuKncvZdNyr1BbXWKts_ZXfk.png?width=108&crop=smart&auto=webp&s=068a0f678517eba05d26b076a16d80bc9701803e', 'width': 108}, {'height': 108, 'url': 'h... |
lm studio model for 6700xt | 2 | im trying to create my first AI for creating programs. not sure which model to choose. systems specs are
motherboard: asus x399-e
cpu: 1950 threadripper at 4ghz
GPU: 6700xt 12gb
memory: cosair 3200 mhz dual channel
i tried with llama using the gpu mentioned nothing i install works so i decided to use lm studio... | 2025-11-04T04:32:51 | https://www.reddit.com/r/LocalLLaMA/comments/1ony99g/lm_studio_model_for_6700xt/ | RichOpinion4766 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ony99g | false | null | t3_1ony99g | /r/LocalLLaMA/comments/1ony99g/lm_studio_model_for_6700xt/ | false | false | self | 2 | null |
Mapping the Open Model Landscape in 2025 - Nathan Lambert, Ai2 (PyTorch Conference) | 1 | 2025-11-04T03:54:51 | https://www.youtube.com/watch?v=QlrGr-D4vTg | Old-School8916 | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1onxipo | false | {'oembed': {'author_name': 'PyTorch', 'author_url': 'https://www.youtube.com/@PyTorch', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/QlrGr-D4vTg?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; pictu... | t3_1onxipo | /r/LocalLLaMA/comments/1onxipo/mapping_the_open_model_landscape_in_2025_nathan/ | false | false | default | 1 | null | |
GLM-4.5-Air-REAP-82B-A12B-LIMI | 18 | Hi. I'm in search of a HW grant to make this model a reality.
Plan is to fine-tune cerebras/GLM-4.5-Air-REAP-82B-A12B model using GAIR/LIMI dataset.
As per arXiv:2509.17567 , we could expect great gain of agentic model abilities.
Script can be easily adapted from github.com/GAIR-NLP/LIMI as authors were initially fine-... | 2025-11-04T03:47:57 | https://www.reddit.com/r/LocalLLaMA/comments/1onxdqx/glm45airreap82ba12blimi/ | CoruNethronX | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onxdqx | false | null | t3_1onxdqx | /r/LocalLLaMA/comments/1onxdqx/glm45airreap82ba12blimi/ | false | false | self | 18 | null |
This might be a dumb question but can VRAM and Unified memory work together on those AMD NPUs? | 5 | Can one put in a graphics card along? Or attach externally? Because 128 GB of unified memory is not enough. | 2025-11-04T03:47:07 | https://www.reddit.com/r/LocalLLaMA/comments/1onxd65/this_might_be_a_dumb_question_but_can_vram_and/ | NoFudge4700 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onxd65 | false | null | t3_1onxd65 | /r/LocalLLaMA/comments/1onxd65/this_might_be_a_dumb_question_but_can_vram_and/ | false | false | self | 5 | null |
I got fed up with subscription fees and cloud-based dictation, so I built a 100% local voice-to-text app for Mac. | 0 | Hi everyone,
Disclaimer: I am the creator of the app mentioned in the post.
I'm a developer who's passionate about privacy-first, on-device software. (I've built a few open-source tools in this space, including a private, local-first RAG system called [LocalGPT](https://github.com/PromtEngineer/localGPT)).
I rely ... | 2025-11-04T03:07:53 | https://www.reddit.com/r/LocalLLaMA/comments/1onwkpp/i_got_fed_up_with_subscription_fees_and/ | mlcode | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onwkpp | false | null | t3_1onwkpp | /r/LocalLLaMA/comments/1onwkpp/i_got_fed_up_with_subscription_fees_and/ | false | false | self | 0 | null |
What personalities do you think LLM have? | 0 | Qwen is a "hot nerd"—always logical, sharp, and highly intelligent, but so serious that they come off as a bit stiff or awkward, with somewhat low emotional intelligence. DeepSeek is a genius prone to flashes of brilliance, but most of the time spouts nonsense. Gemini is a highly sensitive teenager—riddled with self-do... | 2025-11-04T03:00:43 | https://www.reddit.com/r/LocalLLaMA/comments/1onwf8h/what_personalities_do_you_think_llm_have/ | ENJOYlIFEQ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onwf8h | false | null | t3_1onwf8h | /r/LocalLLaMA/comments/1onwf8h/what_personalities_do_you_think_llm_have/ | false | false | self | 0 | null |
[Tool] I wanted an easy way to benchmark tokens/second (t/s) on Ollama, so I wrote a simple Python script | 0 | 2025-11-04T02:24:07 | Appropriate_Fox5922 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onvmxt | false | null | t3_1onvmxt | /r/LocalLLaMA/comments/1onvmxt/tool_i_wanted_an_easy_way_to_benchmark/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'hkdAlZKnBxkG-rPPpd3sxuNZXNzPkBHoisdrFCd3djo', 'resolutions': [{'height': 32, 'url': 'https://preview.redd.it/krpngcruh5zf1.png?width=108&crop=smart&auto=webp&s=6d944ed8a5cf66e0d57bb3db298fd8d00423ffd0', 'width': 108}, {'height': 64, 'url': 'https://preview.redd.it/krpngcruh5zf1.png?... | |||
Ollama cloud | 0 | I came across Ollama Cloud models and it is working great for me. I can balance a hybrid integration while having data privacy and security.
You can run the following models on their cloud
deepseek-v3.1:671b-cloud
gpt-oss:20b-cloud
gpt-oss:120b-cloud
kimi-k2:1t-cloud
qwen3-coder:480b-cloud
gl... | 2025-11-04T02:09:47 | https://www.reddit.com/r/LocalLLaMA/comments/1onvbqq/ollama_cloud/ | Fun-Wolf-2007 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onvbqq | false | null | t3_1onvbqq | /r/LocalLLaMA/comments/1onvbqq/ollama_cloud/ | false | false | self | 0 | null |
I got tired of swapping models just to compare them, so I wrote a Python script to test multiple Ollama models at once | 0 | Hey r/LocalLLaMA!
I'm sure many of you face the same hassle: you download a new GGUF model, you want to see if it's better than your current favorite, but then you have to load one, prompt it, unload, load the other, prompt it again, and manually compare. It's a pain.
So, I put together a simple Python script to auto... | 2025-11-04T02:05:19 | https://www.reddit.com/r/LocalLLaMA/comments/1onv88b/i_got_tired_of_swapping_models_just_to_compare/ | Appropriate_Fox5922 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onv88b | false | null | t3_1onv88b | /r/LocalLLaMA/comments/1onv88b/i_got_tired_of_swapping_models_just_to_compare/ | false | false | self | 0 | null |
Introducing The Agent Development Lifecycle (ADLC) - A New Way to Build Reliable Agents | 0 | Traditional SDLC was built for traditional software, not the probabilistic nature of Agentic AI. Getting an agent to a demo state is quick and easy, but making it reliable is where the real work lies.
That's why we launched ADLC, a methodology that reimagines the development lifecycle for AI Agents. The core of the AD... | 2025-11-04T01:36:10 | planet-pranav | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onuldu | false | null | t3_1onuldu | /r/LocalLLaMA/comments/1onuldu/introducing_the_agent_development_lifecycle_adlc/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'NpL7h-2ykKCGWAkHaglUhXOs-SD0r9ILfLeAAW2fnDU', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/te1q9wh795zf1.png?width=108&crop=smart&auto=webp&s=34b528975a9c85f48b3b6c3daa838e2c0e137b23', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/te1q9wh795zf1.png... | ||
I built ARIA "Adaptive Resonant Intelligent Architecture" - a self-optimizing cognitive architecture with golden ratio spiral exploration, quaternion rotations, and epistemic curiosity (meta-learning that actually works) | 1 | [removed] | 2025-11-04T01:32:01 | https://www.reddit.com/r/LocalLLaMA/comments/1onui7z/i_built_aria_adaptive_resonant_intelligent/ | ARIA_DontMindMe | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onui7z | false | null | t3_1onui7z | /r/LocalLLaMA/comments/1onui7z/i_built_aria_adaptive_resonant_intelligent/ | false | false | self | 1 | null |
Finetuning on Google Collab Issue Stuck on model.save() | 1 | I'm trying to learn how to fine tune llama3. I was trying to follow this basic guide [here](https://www.youtube.com/watch?v=pTaSDVz0gok&list=WL&index=31) using google colab. Everything seems to work, up until
`model.save_pretrained_gguf("gguf_model", tokenizer, quantization_method="q4_k_m")model.save_pretrained_g... | 2025-11-04T01:31:30 | https://www.reddit.com/r/LocalLLaMA/comments/1onuhss/finetuning_on_google_collab_issue_stuck_on/ | Santhoshty | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onuhss | false | null | t3_1onuhss | /r/LocalLLaMA/comments/1onuhss/finetuning_on_google_collab_issue_stuck_on/ | false | false | 1 | null | |
IPEX-LLM llama.cpp portable GPU and NPU working really well on laptop | 5 | [removed] | 2025-11-04T01:23:23 | https://www.reddit.com/r/LocalLLaMA/comments/1onubfl/ipexllm_llamacpp_portable_gpu_and_npu_working/ | pdmk | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onubfl | false | null | t3_1onubfl | /r/LocalLLaMA/comments/1onubfl/ipexllm_llamacpp_portable_gpu_and_npu_working/ | false | false | self | 5 | null |
China’s atomic quantum computer reports first sales with orders worth US$5.6 million | 0 | [https://www.scmp.com/news/china/science/article/3331241/chinas-atomic-quantum-computer-reports-first-sales-orders-worth-us56-million](https://www.scmp.com/news/china/science/article/3331241/chinas-atomic-quantum-computer-reports-first-sales-orders-worth-us56-million) | 2025-11-04T01:19:02 | https://www.reddit.com/r/LocalLLaMA/comments/1onu814/chinas_atomic_quantum_computer_reports_first/ | AdAlarmed7462 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onu814 | false | null | t3_1onu814 | /r/LocalLLaMA/comments/1onu814/chinas_atomic_quantum_computer_reports_first/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '_DBkOm1XUmXNhvRDM_bLdACXVPRgqr-WeAF3vq46cfI', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/_DBkOm1XUmXNhvRDM_bLdACXVPRgqr-WeAF3vq46cfI.jpeg?width=108&crop=smart&auto=webp&s=0153e25f9afa4e36e943c1dcf3e8116b99fe4276', 'width': 108}, {'height': 113, 'url': '... |
Agent Flow | 14 | Anybody tried Agent Flow? Seems 200b performance from an 8b model feels like the holy grail of local llm.
https://agentflow.stanford.edu/
https://huggingface.co/spaces/AgentFlow/agentflow | 2025-11-04T01:17:52 | https://www.reddit.com/r/LocalLLaMA/comments/1onu74b/agent_flow/ | Loud_Communication68 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onu74b | false | null | t3_1onu74b | /r/LocalLLaMA/comments/1onu74b/agent_flow/ | false | false | self | 14 | null |
Twilio Can’t Connect to My Local LiveKit Server | 0 | I’m trying to connect Twilio (cloud) to my LiveKit server running locally, but Twilio can’t reach it since my machine is behind a router/firewall.
I’ve tried:
1. Port forwarding → too many ports, blocked by ISP.
2. ngrok → works for TCP (SIP setup), but UDP audio (RTP) fails.
SIP needs both TCP and UDP, and most tun... | 2025-11-04T01:12:29 | https://www.reddit.com/r/LocalLLaMA/comments/1onu2ud/twilio_cant_connect_to_my_local_livekit_server/ | gunho_ak | self.LocalLLaMA | 2025-11-04T01:17:01 | 0 | {} | 1onu2ud | false | null | t3_1onu2ud | /r/LocalLLaMA/comments/1onu2ud/twilio_cant_connect_to_my_local_livekit_server/ | false | false | self | 0 | null |
Twilio can’t reach my local LiveKit setup because of networking limits | 1 | [removed] | 2025-11-04T01:08:36 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1ontzoa | false | null | t3_1ontzoa | /r/LocalLLaMA/comments/1ontzoa/twilio_cant_reach_my_local_livekit_setup_because/ | false | false | default | 1 | null | ||
What is SOTA currently for audio-to-audio speech models? | 5 | Hey, I was looking for audio models that are SOTA currently. Mainly to understand their architecture and how they achieved their performance.
Side note, what are the current new architecture/layers that have helped smaller models perform better. In the case of audio, I've seen FastConformer do quite good for Nvidia Pa... | 2025-11-04T00:49:54 | https://www.reddit.com/r/LocalLLaMA/comments/1ontkdv/what_is_sota_currently_for_audiotoaudio_speech/ | Ok_Construction_3021 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ontkdv | false | null | t3_1ontkdv | /r/LocalLLaMA/comments/1ontkdv/what_is_sota_currently_for_audiotoaudio_speech/ | false | false | self | 5 | null |
ARIA - Adaptive Resonant Intelligent Architecture | 1 | [removed] | 2025-11-03T23:54:50 | https://www.reddit.com/r/LocalLLaMA/comments/1onsaue/aria_adaptive_resonant_intelligent_architecture/ | ARIA_DontMindMe | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onsaue | false | null | t3_1onsaue | /r/LocalLLaMA/comments/1onsaue/aria_adaptive_resonant_intelligent_architecture/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'zouyWvCREZ4WdjLU174YL4nhA6L_OJ_2TbIQBphY09s', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/zouyWvCREZ4WdjLU174YL4nhA6L_OJ_2TbIQBphY09s.png?width=108&crop=smart&auto=webp&s=e9e1598db9e8bfa69c0a5dcea1611cc67b1edae7', 'width': 108}, {'height': 108, 'url': 'h... |
Self-hosted platform for running third-party AI agents with Ollama support (Apache-2.0) | 0 | **TL;DR:** Many agent platforms involve sending data to third parties. I spent the last year building a fully open-source platform (Apache-2.0) to discover, run, and audit third-party AI agents locally — on your own hardware.
**GitHub:** [https://github.com/agentsystems/agentsystems](https://github.com/agentsystems/ag... | 2025-11-03T22:19:53 | https://www.reddit.com/r/LocalLLaMA/comments/1onpyq8/selfhosted_platform_for_running_thirdparty_ai/ | b_nodnarb | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onpyq8 | false | null | t3_1onpyq8 | /r/LocalLLaMA/comments/1onpyq8/selfhosted_platform_for_running_thirdparty_ai/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'nKy7Ft2na3W6QT83bl9Ee5jurEduWrj7H74U8mjHCtw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/nKy7Ft2na3W6QT83bl9Ee5jurEduWrj7H74U8mjHCtw.png?width=108&crop=smart&auto=webp&s=d175b705cb024be7b97674d05af3b9a60161a9e4', 'width': 108}, {'height': 108, 'url': 'h... | |
Self-hosted platform for running third-party AI agents with Ollama support (Apache-2.0) | 1 | [removed] | 2025-11-03T21:58:10 | https://www.reddit.com/r/LocalLLaMA/comments/1onpehf/selfhosted_platform_for_running_thirdparty_ai/ | b_nodnarb | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onpehf | false | null | t3_1onpehf | /r/LocalLLaMA/comments/1onpehf/selfhosted_platform_for_running_thirdparty_ai/ | false | false | self | 1 | null |
Self-hosted platform for running third-party AI agents with Ollama support (Apache-2.0) | 1 | [removed] | 2025-11-03T21:55:49 | https://www.reddit.com/r/LocalLLaMA/comments/1onpccz/selfhosted_platform_for_running_thirdparty_ai/ | b_nodnarb | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onpccz | false | null | t3_1onpccz | /r/LocalLLaMA/comments/1onpccz/selfhosted_platform_for_running_thirdparty_ai/ | false | false | 1 | null | |
I built a 100% local “ChatGPT for your PDFs” — no API keys, no uploads, just privacy | 0 | I’ve been working on a tool that lets you **chat with your PDFs locally**, powered by **Ollama** and **LangChain**.
It’s built for people who want to ask questions about **private documents,** things you’d never upload to a cloud AI, like contracts, financial reports, or research papers.
Everything runs **fully offli... | 2025-11-03T21:48:31 | https://www.reddit.com/r/LocalLLaMA/comments/1onp5mw/i_built_a_100_local_chatgpt_for_your_pdfs_no_api/ | Appropriate_Fox5922 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onp5mw | false | null | t3_1onp5mw | /r/LocalLLaMA/comments/1onp5mw/i_built_a_100_local_chatgpt_for_your_pdfs_no_api/ | false | false | self | 0 | null |
I built a 100% local “ChatGPT for your PDFs” runs on Ollama + LangChain, no data leaves your computer | 1 | [removed] | 2025-11-03T21:46:18 | https://www.reddit.com/r/LocalLLaMA/comments/1onp3j8/i_built_a_100_local_chatgpt_for_your_pdfs_runs_on/ | Appropriate_Fox5922 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onp3j8 | false | null | t3_1onp3j8 | /r/LocalLLaMA/comments/1onp3j8/i_built_a_100_local_chatgpt_for_your_pdfs_runs_on/ | false | false | self | 1 | null |
Cant get any LLM to work with VS code | 3 | I'm completeley new to this so I am most likely making a mistake at every step, but I've been trying to set up a local LLM as an agent in VSC for the past 4 days, so far I've downloaded Ollama and a few versions of Qwen, tried llama.cpp (didnt work), void, and tried to have the agents use those but whatever extention I... | 2025-11-03T21:38:09 | https://www.reddit.com/r/LocalLLaMA/comments/1onovoz/cant_get_any_llm_to_work_with_vs_code/ | Travisscott_11 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onovoz | false | null | t3_1onovoz | /r/LocalLLaMA/comments/1onovoz/cant_get_any_llm_to_work_with_vs_code/ | false | false | self | 3 | null |
Last few RTX Pro 6000 Blackwell Workstation GPUs for sale hoping to land at a experienced AI developer (Ship from Canada with Warranty - USD$6900) | 0 | My first post here advertising my card got overwhelmingly positive responses and successfully sold to an experienced AI developer out on the west coast. I have the last cards remaining and hopefully they all land at the right users who can take advantage of these GPUs for your work. I am located in Canada so please DM ... | 2025-11-03T21:28:29 | https://www.reddit.com/gallery/1onomhv | traderjay_toronto | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1onomhv | false | null | t3_1onomhv | /r/LocalLLaMA/comments/1onomhv/last_few_rtx_pro_6000_blackwell_workstation_gpus/ | false | false | 0 | null | |
Hoping to find a good home for these RTX Pro 6000 Blackwell Workstation Edition (Located in Canada - USD$6900) | 1 | 2025-11-03T21:25:55 | https://www.reddit.com/gallery/1onok2t | traderjay_toronto | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1onok2t | false | null | t3_1onok2t | /r/LocalLLaMA/comments/1onok2t/hoping_to_find_a_good_home_for_these_rtx_pro_6000/ | false | false | 1 | null | ||
Large Language Models Get All the Hype, but Small Models Do the Real Work | 0 | 2025-11-03T21:22:16 | https://www.wsj.com/tech/ai/large-language-models-get-all-the-hype-but-small-models-do-the-real-work-225d3145?st=rBqXQZ&reflink=desktopwebshare_permalink&mod=tldr | yellow_golf_ball | wsj.com | 1970-01-01T00:00:00 | 0 | {} | 1onogmh | false | null | t3_1onogmh | /r/LocalLLaMA/comments/1onogmh/large_language_models_get_all_the_hype_but_small/ | false | false | default | 0 | null | |
Last week in Multimodal AI - Local Edition | 27 | I curate a weekly newsletter on multimodal AI. Here are the local/edge highlights from last week:
**Emu3.5 - Open-Source World Learner**
• Matches Gemini 2.5 Flash performance while running entirely on your hardware.
• Native next-state prediction across text, images, and video for embodied tasks.
• [Paper](http... | 2025-11-03T21:17:10 | https://www.reddit.com/r/LocalLLaMA/comments/1onobpg/last_week_in_multimodal_ai_local_edition/ | Vast_Yak_4147 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onobpg | false | null | t3_1onobpg | /r/LocalLLaMA/comments/1onobpg/last_week_in_multimodal_ai_local_edition/ | false | false | 27 | null | |
How to automate gameplay in an iPhone-only Flappy Bird–style app using a Windows PC (for a research project) | 1 |
I’m currently working on a small research project that involves a Flappy Bird–type game that exists only inside a proprietary iOS app. The organizers of the project have explicitly granted full permission for automation and experimentation — the goal is to explore algorithmic reaction timing and decision-making, not t... | 2025-11-03T20:55:36 | Jan_Chan_Li | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onnqed | false | null | t3_1onnqed | /r/LocalLLaMA/comments/1onnqed/how_to_automate_gameplay_in_an_iphoneonly_flappy/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'ocntlid9v3zf1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/ocntlid9v3zf1.jpeg?width=108&crop=smart&auto=webp&s=fec2fab5933675a385e33da75b1c0e3244fc2d87', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/ocntlid9v3zf1.jpeg?width=216&crop=smart&auto=... | |
I got 2x mi50 16gb anything I need to know ? | 3 | Maybe k should have asked bevor buying them but I saw good reviews with llama cpp and ollama and that is the only use case I’m gonna use it for. I want to run gpt-oss 20b that one will run on one only but I also want to try qwen 3 30b a3b and other models. If someone of you want to get the same gpu and want me to test ... | 2025-11-03T20:33:02 | https://www.reddit.com/r/LocalLLaMA/comments/1onn4j6/i_got_2x_mi50_16gb_anything_i_need_to_know/ | Pleasant-Key3390 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onn4j6 | false | null | t3_1onn4j6 | /r/LocalLLaMA/comments/1onn4j6/i_got_2x_mi50_16gb_anything_i_need_to_know/ | false | false | self | 3 | null |
First LangFlow Flow Official Release - Elephant v1.0 | 9 | I started a YouTube channel a few weeks ago called LoserLLM. The goal of the channel is to teach others how they can download and host open source models on their own hardware using only two tools; LM Studio and LangFlow.
Last night I completed my first goal with an open source LangFlow flow. It has custom components ... | 2025-11-03T19:42:17 | https://www.reddit.com/r/LocalLLaMA/comments/1onlqz7/first_langflow_flow_official_release_elephant_v10/ | LoserLLM | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onlqz7 | false | null | t3_1onlqz7 | /r/LocalLLaMA/comments/1onlqz7/first_langflow_flow_official_release_elephant_v10/ | false | false | self | 9 | {'enabled': False, 'images': [{'id': '-N6TAVopvaueLIvF5ZACjjahGKlYolU_09kHtBog2wo', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/-N6TAVopvaueLIvF5ZACjjahGKlYolU_09kHtBog2wo.jpeg?width=108&crop=smart&auto=webp&s=9dc383a224a1937c8e6883c65eb1a490a58e5ab1', 'width': 108}, {'height': 162, 'url': '... |
First LangFlow Flow Official Release - Elephant v1.0 | 1 | [removed] | 2025-11-03T19:33:43 | https://www.reddit.com/r/LocalLLaMA/comments/1onlikq/first_langflow_flow_official_release_elephant_v10/ | Investolas | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onlikq | false | null | t3_1onlikq | /r/LocalLLaMA/comments/1onlikq/first_langflow_flow_official_release_elephant_v10/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '-N6TAVopvaueLIvF5ZACjjahGKlYolU_09kHtBog2wo', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/-N6TAVopvaueLIvF5ZACjjahGKlYolU_09kHtBog2wo.jpeg?width=108&crop=smart&auto=webp&s=9dc383a224a1937c8e6883c65eb1a490a58e5ab1', 'width': 108}, {'height': 162, 'url': '... |
Welcome to my tutorial | 270 | 2025-11-03T19:24:25 | jacek2023 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onl9hv | false | null | t3_1onl9hv | /r/LocalLLaMA/comments/1onl9hv/welcome_to_my_tutorial/ | false | false | default | 270 | {'enabled': True, 'images': [{'id': 'vw1qwiexe3zf1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/vw1qwiexe3zf1.png?width=108&crop=smart&auto=webp&s=6e8ad75662b592069656f6c09e0ae55d23bfc95d', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/vw1qwiexe3zf1.png?width=216&crop=smart&auto=we... | ||
Best PC config to run AI and ML models under 3000 usd. | 0 | I m a complete noob when it comes to hardware and software need help | 2025-11-03T19:23:23 | https://www.reddit.com/r/LocalLLaMA/comments/1onl8h0/best_pc_config_to_run_ai_and_ml_models_under_3000/ | SnooRegrets3682 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onl8h0 | false | null | t3_1onl8h0 | /r/LocalLLaMA/comments/1onl8h0/best_pc_config_to_run_ai_and_ml_models_under_3000/ | false | false | self | 0 | null |
I made a simple tool to get deterministic, instant responses from my LLM setup | 43 |
Hey r/LocalLLaMA,
I've been working on a project to solve a problem I'm sure many of you have seen: you get fantastic, fast responses from your local models, but if you ask the *exact same question* in a slightly different way, the model has to run the full inference again.
* `Query 1: "how do I cancel my order"` →... | 2025-11-03T18:24:18 | https://www.reddit.com/r/LocalLLaMA/comments/1onjm1u/i_made_a_simple_tool_to_get_deterministic_instant/ | MarkZealousideal7572 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onjm1u | false | null | t3_1onjm1u | /r/LocalLLaMA/comments/1onjm1u/i_made_a_simple_tool_to_get_deterministic_instant/ | false | false | self | 43 | null |
Problems with file editing with self-hosted models | 8 | I've had a lot of fun trying out some of the self-hosted agentic tools like Crush, Qwen Code, Nanocoder, Aider and some of the VSCode extensions, Cline, Roo, etc.
Frustratingly, a lot of smaller (30B and below) seem to have a good idea / concept what to do, but really, really stink at the actual editing of the files. ... | 2025-11-03T17:42:21 | https://www.reddit.com/r/LocalLLaMA/comments/1onieuw/problems_with_file_editing_with_selfhosted_models/ | UsualResult | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onieuw | false | null | t3_1onieuw | /r/LocalLLaMA/comments/1onieuw/problems_with_file_editing_with_selfhosted_models/ | false | false | self | 8 | null |
We trained SLM-powered assistants for personal expenses summaries that you can run locally via Ollama. | 7 | We trained SLM assistants for personal expenses summaries - two Llama 3.2 models (1B and 3B parameters) that you can run *locally* via Ollama! SLMs which are not finetuned perform poorly on function calling - on our demo task, the 3B model called the correct tool only in 24% cases. By comparison, GPT-OSS was correct 88... | 2025-11-03T17:37:58 | party-horse | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oniabv | false | null | t3_1oniabv | /r/LocalLLaMA/comments/1oniabv/we_trained_slmpowered_assistants_for_personal/ | false | false | default | 7 | {'enabled': True, 'images': [{'id': 'nqq5x0okv2zf1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/nqq5x0okv2zf1.png?width=108&crop=smart&auto=webp&s=55b401c6f14170a4eb5d087af6885668b798a35e', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/nqq5x0okv2zf1.png?width=216&crop=smart&auto=we... | |
Best model for low ram devices | 3 | My device has overall 16 GBs of RAM combined between CPU and GPU and I searched for multiple models that can fit in that range but I am still unsure,I think GPT-OSS-20B is good as I am not in need for advanced coding but I need moderate Agentic capabilities mainly for web search/image extraction I think I may use Unslo... | 2025-11-03T17:24:36 | https://www.reddit.com/r/LocalLLaMA/comments/1onhwt9/best_model_for_low_ram_devices/ | Green-Addition-8856 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onhwt9 | false | null | t3_1onhwt9 | /r/LocalLLaMA/comments/1onhwt9/best_model_for_low_ram_devices/ | false | false | self | 3 | null |
best small choice rn? | 0 | what are the best and most *stable* q4 models between 4 and 8b? (general use, tool use, coding) | 2025-11-03T17:17:02 | https://www.reddit.com/r/LocalLLaMA/comments/1onhpau/best_small_choice_rn/ | Specialist_Theme8826 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onhpau | false | null | t3_1onhpau | /r/LocalLLaMA/comments/1onhpau/best_small_choice_rn/ | false | false | self | 0 | null |
Is LLaMa just slower? | 2 | Hi there!
Complete beginner here. I usually just use some APIs like fireworks, but I wanted to test some manipulations at the decoding step which apparently is not possible with providers like fireworks, so I thought it would be nice to look into Runpod for the first time.
I rented an RTX-5090 and I first tried ... | 2025-11-03T17:06:38 | https://www.reddit.com/r/LocalLLaMA/comments/1onhf62/is_llama_just_slower/ | scientific_banana | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onhf62 | false | null | t3_1onhf62 | /r/LocalLLaMA/comments/1onhf62/is_llama_just_slower/ | false | false | self | 2 | null |
How does cerebras get 2000toks/s? | 75 | I'm wondering, what sort of GPU do I need to rent and under what settings to get that speed? | 2025-11-03T17:05:10 | https://www.reddit.com/r/LocalLLaMA/comments/1onhdob/how_does_cerebras_get_2000tokss/ | npmbad | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onhdob | false | null | t3_1onhdob | /r/LocalLLaMA/comments/1onhdob/how_does_cerebras_get_2000tokss/ | false | false | self | 75 | null |
Logrado! Tool Use (Function Calling) con Llama 3 en Ollama, orquestado 100% visual con n8n. (100% Local y Gratis) | 0 | Quería compartir un experimento/proyecto que me ha dado una satisfacción enorme: conseguir que un modelo local use herramientas del mundo real (Tool Use).
Mi stack fue:
* Modelo: llama3:8b-instruct (corriendo en Ollama)
* Orquestador: n8n (una plataforma visual/no-code que tiene un nodo de "AI Agent")
El objetivo er... | 2025-11-03T16:55:08 | https://www.reddit.com/r/LocalLLaMA/comments/1onh3lg/logrado_tool_use_function_calling_con_llama_3_en/ | jokiruiz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onh3lg | false | null | t3_1onh3lg | /r/LocalLLaMA/comments/1onh3lg/logrado_tool_use_function_calling_con_llama_3_en/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'nqPKqdngYJvGcJS6ivPJyKa3KnmmSEx91P350wT-I1k', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/nqPKqdngYJvGcJS6ivPJyKa3KnmmSEx91P350wT-I1k.jpeg?width=108&crop=smart&auto=webp&s=1df5ef421fe30355a27a98d4f7772a6085171071', 'width': 108}, {'height': 162, 'url': '... |
Help on budget build with 8x 6700XT | 4 | Hi,
It's my first post here. I have 8x RX 6700XT cards and I would like to use them in a budget (as budget as possible \^\^) build for local AI inference for my company. I'd like to experiment with multiple models to see what we could do with such a rig.
I'm looking for advice on what type of hardware/software soluti... | 2025-11-03T16:54:35 | https://www.reddit.com/r/LocalLLaMA/comments/1onh326/help_on_budget_build_with_8x_6700xt/ | leobaillard | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onh326 | false | null | t3_1onh326 | /r/LocalLLaMA/comments/1onh326/help_on_budget_build_with_8x_6700xt/ | false | false | self | 4 | null |
Does the context length setting have any relevance on a series of completely unrelated questions? | 0 | As per the title, does the context length setting have any relevance/effect on a series of completely unrelated questions, typically in entirely new sessions?
Take oss-gtp:20b and the assumption that the questions would always be requesting factual recall and summary, not "conversation" or opinion. | 2025-11-03T16:49:24 | https://www.reddit.com/r/LocalLLaMA/comments/1ongxto/does_the_context_length_setting_have_any/ | rdude777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ongxto | false | null | t3_1ongxto | /r/LocalLLaMA/comments/1ongxto/does_the_context_length_setting_have_any/ | false | false | self | 0 | null |
IBM Developer - Setting up local co-pilot using Ollama with VS Code (or VSCodium for no telemetry air-gapped) with Continue extension. | 0 | This is a much more complete and updated setup of what I have used professionally and have suggested for local Coding assistant since long time, no data transmitted outside of your control.
The new Granite-nano models are superb, very impressive, much appreciated by people on machines with mid-levels gaming graphics c... | 2025-11-03T16:48:31 | https://developer.ibm.com/tutorials/awb-local-ai-copilot-ibm-granite-code-ollama-continue/ | finah1995 | developer.ibm.com | 1970-01-01T00:00:00 | 0 | {} | 1ongwyo | false | null | t3_1ongwyo | /r/LocalLLaMA/comments/1ongwyo/ibm_developer_setting_up_local_copilot_using/ | false | false | default | 0 | null |
I want to run 8x 5060 ti to run gpt-oss 120b | 18 | I am currently making a rough plan for a system under $5000 to run/experiment with LLMs. The purpose? I want to have fun, and PC building has always been my hobby.
I first want to start off with 4x or even 2x 5060 ti (not really locked in on the gpu chocie fyi) but I'd like to be able to expand to 8x gpus at some p... | 2025-11-03T16:48:13 | https://www.reddit.com/r/LocalLLaMA/comments/1ongwng/i_want_to_run_8x_5060_ti_to_run_gptoss_120b/ | Active_String2216 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ongwng | false | null | t3_1ongwng | /r/LocalLLaMA/comments/1ongwng/i_want_to_run_8x_5060_ti_to_run_gptoss_120b/ | false | false | self | 18 | null |
how to reduce infrastructure costs for LLM models for businesses or SMEs. | 0 | # Comment j'ai réduit de 68% les coûts d'infrastructure LLM d'une PME (de 1,840€ à 588€/mois)
## 📊 Contexte
Une PME SaaS B2B avec laquelle j'ai travaillé utilisait des LLMs pour plusieurs fonctionnalités :
- Génération automatique de rapports clients
- Assistant de support client (chatbot)
- Résumés de documents tec... | 2025-11-03T16:42:31 | Ambitious-Age-6054 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ongquy | false | null | t3_1ongquy | /r/LocalLLaMA/comments/1ongquy/how_to_reduce_infrastructure_costs_for_llm_models/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '83j4ybzll2zf1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/83j4ybzll2zf1.jpeg?width=108&crop=smart&auto=webp&s=a7777395f136871997b8706c404c7df6b14c94c7', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/83j4ybzll2zf1.jpeg?width=216&crop=smart&auto=w... | |
Build Multi-model AI Agents with SelfDB v0.05 open-source on GitHub | 2 | Building multi-model AI agents? SelfDB v0.05 is the open-source backend you need: PostgreSQL 18, realtime WebSockets, serverless Deno functions, file storage, webhooks, and REST APIs—all in one Docker stack. No vendor lock-in, full self-hosting. Early beta, looking for testers and feedback. GitHub: [github.com/Selfdb-i... | 2025-11-03T16:41:15 | https://www.reddit.com/r/LocalLLaMA/comments/1ongplh/build_multimodel_ai_agents_with_selfdb_v005/ | selfdb | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ongplh | false | null | t3_1ongplh | /r/LocalLLaMA/comments/1ongplh/build_multimodel_ai_agents_with_selfdb_v005/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'LeQjxvI7f7vpLLcYBAYJ_EgUb46Tavn7cpnGizvqmO4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/LeQjxvI7f7vpLLcYBAYJ_EgUb46Tavn7cpnGizvqmO4.png?width=108&crop=smart&auto=webp&s=b85ac2917f5c7f62267e889a0ad7aceba87ff5cb', 'width': 108}, {'height': 108, 'url': 'h... |
I Built a "Jumpstart" System for Claude Code - 3-Minute Setup, Production Agents, Honest Cost Analysis | 0 | After watching developers struggle with Claude Code setup, I spent 85 hours building a complete resource with automation.
\## The Problem
Claude Code is powerful (1M token context) but has a steep learning curve. Most guides are either marketing fluff or assume you already know what you're doing. Setup takes 2-3 ... | 2025-11-03T16:24:53 | https://www.reddit.com/r/LocalLLaMA/comments/1ong9nv/i_built_a_jumpstart_system_for_claude_code/ | jammer9631 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ong9nv | false | null | t3_1ong9nv | /r/LocalLLaMA/comments/1ong9nv/i_built_a_jumpstart_system_for_claude_code/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'sOmRYGjtU3j067uIMQAu6glt-SNDCI5PydW4q-CCqPM', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/sOmRYGjtU3j067uIMQAu6glt-SNDCI5PydW4q-CCqPM.png?width=108&crop=smart&auto=webp&s=b6c1987029349699106862ad575fadc64493c795', 'width': 108}, {'height': 113, 'url': 'h... |
EuroLLM: LLM made in Europe to support all 24 official EU languages, Responses from LLMs are not facts many other LLM related links from Hacker News | 0 | Hey everyone, last Friday I sent a new issue of my [weekly newsletter](https://eomail4.com/web-version?p=6bbb8c20-b65b-11f0-a6a0-fdfd63c5ef08&pt=campaign&t=1761919882&s=94362c8bc74fb0348a9fd4f13de4a4bce9291a26c66f2eea940e118603b291fe) with the best and most commented AI links shared on Hacker News - it has an LLMs sect... | 2025-11-03T16:20:29 | https://www.reddit.com/r/LocalLLaMA/comments/1ong5d1/eurollm_llm_made_in_europe_to_support_all_24/ | alexeestec | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ong5d1 | false | null | t3_1ong5d1 | /r/LocalLLaMA/comments/1ong5d1/eurollm_llm_made_in_europe_to_support_all_24/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'z2aGP8BQyslvHhDggKK9nCbxn4Zy-6FJInHfBGbYiEw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/z2aGP8BQyslvHhDggKK9nCbxn4Zy-6FJInHfBGbYiEw.png?width=108&crop=smart&auto=webp&s=0a11e2c7bdb7a4fd6d84ea1c9de449e44c3c668e', 'width': 108}, {'height': 108, 'url': 'h... |
Tool to generate datasets for finetuning local model | 5 | I have asus tuf laptop with gpu rtx 5070 8gb.
I wanted to create custom dataset for model fine tuning by using local based model on vllm. Which is the most preferred tool to generate q&a datasets etc. please guide
And the best approach also. | 2025-11-03T16:01:31 | https://www.reddit.com/r/LocalLLaMA/comments/1onfmr5/tool_to_generate_datasets_for_finetuning_local/ | Big_Tangelo_3697 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onfmr5 | false | null | t3_1onfmr5 | /r/LocalLLaMA/comments/1onfmr5/tool_to_generate_datasets_for_finetuning_local/ | false | false | self | 5 | null |
multi-model coding agents hitting 76% on swe-bench. could we replicate this with local models? | 35 | saw some benchmark results where a coding agent hit 76.1% on swe-bench verified using multi-model approach
the interesting part: different models for different tasks. one for navigation, one for coding, one for review. plus auto-verification loop
got me thinking - could we build something similar with local models? o... | 2025-11-03T15:58:23 | https://www.reddit.com/r/LocalLLaMA/comments/1onfjk6/multimodel_coding_agents_hitting_76_on_swebench/ | rwhitman05 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onfjk6 | false | null | t3_1onfjk6 | /r/LocalLLaMA/comments/1onfjk6/multimodel_coding_agents_hitting_76_on_swebench/ | false | false | self | 35 | null |
I got a question about local models and GPU | 2 | I know quantization affects a model’s intelligence at a point. But does also the quality of the GPU running it? Probably seems like a dumb question, but I’m curious if it does | 2025-11-03T15:52:00 | https://www.reddit.com/r/LocalLLaMA/comments/1onfdcd/i_got_a_question_about_local_models_and_gpu/ | Savantskie1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onfdcd | false | null | t3_1onfdcd | /r/LocalLLaMA/comments/1onfdcd/i_got_a_question_about_local_models_and_gpu/ | false | false | self | 2 | null |
For those who want to test some 8 rtx2060s 8gb | 1 | [removed] | 2025-11-03T15:44:43 | Fit_Acanthaceae_2236 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onf6aq | false | null | t3_1onf6aq | /r/LocalLLaMA/comments/1onf6aq/for_those_who_want_to_test_some_8_rtx2060s_8gb/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'qaq9e55hb2zf1', 'resolutions': [{'height': 58, 'url': 'https://preview.redd.it/qaq9e55hb2zf1.png?width=108&crop=smart&auto=webp&s=3a29bf032612c8896b87aa8c2a289f9c346577d8', 'width': 108}, {'height': 116, 'url': 'https://preview.redd.it/qaq9e55hb2zf1.png?width=216&crop=smart&auto=web... | |
Aside from the Gemma senator defamation issue, Google Gemini claims that the Holocaust is a hoax and that 9/11 was an inside job. 🛫 | 0 | 2025-11-03T15:44:01 | https://techbronerd.substack.com/p/google-gemini-says-holocaust-is-fake | ImaginaryRea1ity | techbronerd.substack.com | 1970-01-01T00:00:00 | 0 | {} | 1onf5nb | false | null | t3_1onf5nb | /r/LocalLLaMA/comments/1onf5nb/aside_from_the_gemma_senator_defamation_issue/ | false | false | default | 0 | {'enabled': False, 'images': [{'id': 'u6bUmLH-BepxRgmEz6BR0nYDAXB4cW_wlR7NcGnRWJE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/u6bUmLH-BepxRgmEz6BR0nYDAXB4cW_wlR7NcGnRWJE.jpeg?width=108&crop=smart&auto=webp&s=c3ffe3fbc3e965f5a414545b0e13e8da9051ae07', 'width': 108}, {'height': 108, 'url': '... | |
For those who want to test some P40s. | 1 | [removed] | 2025-11-03T15:41:20 | Fit_Acanthaceae_2236 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onf349 | false | null | t3_1onf349 | /r/LocalLLaMA/comments/1onf349/for_those_who_want_to_test_some_p40s/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 't7hc9t10b2zf1', 'resolutions': [{'height': 44, 'url': 'https://preview.redd.it/t7hc9t10b2zf1.png?width=108&crop=smart&auto=webp&s=c4fff97d369d0aa22e18857d6d129f550ec2538d', 'width': 108}, {'height': 89, 'url': 'https://preview.redd.it/t7hc9t10b2zf1.png?width=216&crop=smart&auto=webp... | |
A Proposed Framework for Auditable Safety and Structural Resilience in Artificial General Intelligence | 0 | # A Proposed Framework for Auditable Safety and Structural Resilience in Artificial General Intelligence
**Abstract:** Current Large Language Models (LLMs) demonstrate emergent capabilities but are prone to critical instabilities, including recursive looping, context collapse, and unpredictable behavior under stress (... | 2025-11-03T15:20:09 | https://www.reddit.com/r/LocalLLaMA/comments/1onej0m/a_proposed_framework_for_auditable_safety_and/ | bolexbuster | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onej0m | false | null | t3_1onej0m | /r/LocalLLaMA/comments/1onej0m/a_proposed_framework_for_auditable_safety_and/ | false | false | self | 0 | null |
Trying to budget a code completion build | 2 | Hey reddit, I'm quite new to the local LLM space and I thought it would be awesome to run a code completion model locally - like github copilot and supermaven provide (that is fill the gap completion, not normal code generation)
Research around the subject made me even more confused than I started.
What I got so far... | 2025-11-03T15:12:54 | https://www.reddit.com/r/LocalLLaMA/comments/1onec6e/trying_to_budget_a_code_completion_build/ | 01ttouch | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onec6e | false | null | t3_1onec6e | /r/LocalLLaMA/comments/1onec6e/trying_to_budget_a_code_completion_build/ | false | false | self | 2 | null |
Searching for (paid) Support for AI-WhatsApp Responder LOCAL RUN | 0 | I’m planning/need to build an application / server solution that automatically communicates with customers via WhatsApp using an AI language model.
Goals:
\-Handle Incoming customer conversations, only bare minimum! no big long talks blabla
\-Schedule appointments and add appointments directly to a calendar (Google)... | 2025-11-03T15:09:35 | https://www.reddit.com/r/LocalLLaMA/comments/1one8zp/searching_for_paid_support_for_aiwhatsapp/ | MageLD | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1one8zp | false | null | t3_1one8zp | /r/LocalLLaMA/comments/1one8zp/searching_for_paid_support_for_aiwhatsapp/ | false | false | self | 0 | null |
Found a Google Gemini API Key Hardcoded in a Random APK – Here You Go! | 1 | [removed] | 2025-11-03T14:20:34 | https://www.reddit.com/r/LocalLLaMA/comments/1onczvs/found_a_google_gemini_api_key_hardcoded_in_a/ | Top-Medium-8559 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onczvs | false | null | t3_1onczvs | /r/LocalLLaMA/comments/1onczvs/found_a_google_gemini_api_key_hardcoded_in_a/ | false | false | self | 1 | null |
Ollama model export [GitHub] | 0 | 2025-11-03T14:12:30 | https://github.com/grimandgreedy/ollama_model_export | trebletreblebass | github.com | 1970-01-01T00:00:00 | 0 | {} | 1oncsy4 | false | null | t3_1oncsy4 | /r/LocalLLaMA/comments/1oncsy4/ollama_model_export_github/ | false | false | default | 0 | null | |
Found a Google Gemini API Key Hardcoded in a Random APK – Here You Go! | 1 | [removed] | 2025-11-03T14:09:08 | https://www.reddit.com/r/LocalLLaMA/comments/1oncpww/found_a_google_gemini_api_key_hardcoded_in_a/ | Top-Medium-8559 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oncpww | false | null | t3_1oncpww | /r/LocalLLaMA/comments/1oncpww/found_a_google_gemini_api_key_hardcoded_in_a/ | false | false | self | 1 | null |
an ai engineer walks into a bar... | 0 | 2025-11-03T14:02:34 | eternviking | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onck65 | false | null | t3_1onck65 | /r/LocalLLaMA/comments/1onck65/an_ai_engineer_walks_into_a_bar/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'fr90ewqgt1zf1', 'resolutions': [{'height': 40, 'url': 'https://preview.redd.it/fr90ewqgt1zf1.png?width=108&crop=smart&auto=webp&s=0946406e8bde29b75d4aa444ff01adc30c0c4745', 'width': 108}, {'height': 81, 'url': 'https://preview.redd.it/fr90ewqgt1zf1.png?width=216&crop=smart&auto=webp... | ||
Why Qwen is “Hot Nerd“ | 0 | When I talk with Qwen, he always sounds so serious and stiff, like a block of wood—but when it comes to discussing real issues, he always cuts straight to the heart of the matter, earnest and focused. | 2025-11-03T13:56:01 | https://www.reddit.com/r/LocalLLaMA/comments/1once6b/why_qwen_is_hot_nerd/ | ENJOYlIFEQ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1once6b | false | null | t3_1once6b | /r/LocalLLaMA/comments/1once6b/why_qwen_is_hot_nerd/ | false | false | self | 0 | null |
an AI Engineer walks into a bar | 1 | 2025-11-03T13:54:52 | eternviking | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oncd5u | false | null | t3_1oncd5u | /r/LocalLLaMA/comments/1oncd5u/an_ai_engineer_walks_into_a_bar/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'uddz0rr5s1zf1', 'resolutions': [{'height': 40, 'url': 'https://preview.redd.it/uddz0rr5s1zf1.png?width=108&crop=smart&auto=webp&s=25f4bfd54b020cdcde63f782f47630d790e8dfb3', 'width': 108}, {'height': 80, 'url': 'https://preview.redd.it/uddz0rr5s1zf1.png?width=216&crop=smart&auto=webp... | ||
Running Qwen 1.5B Fully On-Device on Jetson Orin Nano - No Cloud, Under 10W Power | 5 | I’ve been exploring what’s truly possible with **Edge AI**, and the results have been impressive. Managed to run **Qwen 1.5B entirely on the Jetson Orin Nano** \- with no cloud, no latency, and no data leaving the device.
Performance:
* 30 tokens/sec generation speed
* Zero cloud dependency
* No API costs
* Runs unde... | 2025-11-03T13:54:49 | https://www.reddit.com/r/LocalLLaMA/comments/1oncd4a/running_qwen_15b_fully_ondevice_on_jetson_orin/ | Founder_GenAIProtos | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oncd4a | false | null | t3_1oncd4a | /r/LocalLLaMA/comments/1oncd4a/running_qwen_15b_fully_ondevice_on_jetson_orin/ | false | false | self | 5 | null |
an ai engineer walks into a bar... | 1 | [deleted] | 2025-11-03T13:51:02 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1onc9x5 | false | null | t3_1onc9x5 | /r/LocalLLaMA/comments/1onc9x5/an_ai_engineer_walks_into_a_bar/ | false | false | default | 1 | null | ||
Building a tool to normalize messy support chat data for fine-tuning - would this help you? | 0 | I'm building a tool to solve a specific pain point I keep seeing: **formatting raw customer support data for LLM fine-tuning**.
**The problem:** You export conversations from Zendesk/Intercom/Slack/etc., and every platform has a different format. Spending hours writing parsers and cleaning up inconsistent message stru... | 2025-11-03T13:50:12 | https://www.reddit.com/r/LocalLLaMA/comments/1onc97k/building_a_tool_to_normalize_messy_support_chat/ | Longjumping-Help7601 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onc97k | false | null | t3_1onc97k | /r/LocalLLaMA/comments/1onc97k/building_a_tool_to_normalize_messy_support_chat/ | false | false | self | 0 | null |
llama.cpp-server hanging | 2 | I am using llama.cpp-server with SillyTavern as a frontend. There is an unexpected behaviour recurring again and again.
Sometimes I send my message. The backend processes the input, then stops and get back to listen without generating a reply. If you send another input (clicking on the "send" icon) it finally produces... | 2025-11-03T13:45:06 | https://www.reddit.com/r/LocalLLaMA/comments/1onc4w3/llamacppserver_hanging/ | Expensive-Paint-9490 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onc4w3 | false | null | t3_1onc4w3 | /r/LocalLLaMA/comments/1onc4w3/llamacppserver_hanging/ | false | false | self | 2 | null |
My cheapest & most consistent approach for AI 3D models so far - MiniMax-M2 | 36 | Been experimenting with MiniMax2 locally for 3D asset generation and wanted to share some early results. I'm finding it surprisingly effective for tool calling and generating code with consistent quality and cost compared to relying on larger models I've tried.
The image is a Jack O' Lantern generated via an [agent](h... | 2025-11-03T13:39:51 | spacespacespapce | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onc0hn | false | null | t3_1onc0hn | /r/LocalLLaMA/comments/1onc0hn/my_cheapest_most_consistent_approach_for_ai_3d/ | false | false | default | 36 | {'enabled': True, 'images': [{'id': 'fwg2juf4o1zf1', 'resolutions': [{'height': 72, 'url': 'https://preview.redd.it/fwg2juf4o1zf1.jpeg?width=108&crop=smart&auto=webp&s=509ddf1281dbc5e63af04c78e1c5ac97632c4499', 'width': 108}, {'height': 145, 'url': 'https://preview.redd.it/fwg2juf4o1zf1.jpeg?width=216&crop=smart&auto=w... | |
Custom web browser with built-in Qwen VL model | 11 | I am working on a custom web browser where I am packaging the Chorium-based browser with many features, one of which is a built-in Qwen VL model for vision when needed.
This is a developer browser, so no UI. Only accessible by SDK or MCP.
The vision model can solve regular CAPTCHA (working on some of the I am not tin... | 2025-11-03T13:34:34 | https://v.redd.it/k8vug8wpn1zf1 | ahstanin | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1onbw6i | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/k8vug8wpn1zf1/DASHPlaylist.mpd?a=1764768891%2CMjA1MDk5NDA2YmNjMzU3NWRhMDBiNWNmNWNjNDYyNjE1N2ZkYWE5MDdjMTQxNzlkNjdhMzBiMmZhMTRjMDUwMw%3D%3D&v=1&f=sd', 'duration': 11, 'fallback_url': 'https://v.redd.it/k8vug8wpn1zf1/DASH_1080.mp4?source=fallback', 'h... | t3_1onbw6i | /r/LocalLLaMA/comments/1onbw6i/custom_web_browser_with_builtin_qwen_vl_model/ | false | false | 11 | {'enabled': False, 'images': [{'id': 'd3Y5Mmw5d3BuMXpmMdNxnrzMjLr17_JtbU8OmCEgIoG0KPgtKAaiVeQ-d0Gp', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/d3Y5Mmw5d3BuMXpmMdNxnrzMjLr17_JtbU8OmCEgIoG0KPgtKAaiVeQ-d0Gp.png?width=108&crop=smart&format=pjpg&auto=webp&s=f8e1774e9dc99d476f6eeba0440951baa017a... | |
gemma-3-27b-it vs qwen3-32B (non-thinking) | 19 | In my experience, for general reasoning tasks (code, parsing data, following instructions, answering tricky questions), qwen3-32b seems strictly superior to gemma-3-27b, \*if allowed to use thinking\*.
But if you disable thinking for qwen3-32b how do they compare? Anyone got any experience with this? | 2025-11-03T13:28:27 | https://www.reddit.com/r/LocalLLaMA/comments/1onbqtv/gemma327bit_vs_qwen332b_nonthinking/ | RepulsiveMousse3992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onbqtv | false | null | t3_1onbqtv | /r/LocalLLaMA/comments/1onbqtv/gemma327bit_vs_qwen332b_nonthinking/ | false | false | self | 19 | null |
Suggest some uncensored open source LLMs good for transcription and translation | 0 | The title says it all. Appreciate your hints for the best models to run in LM studio. I tried Qwen code 3, Mistral 7b instruct and OpenAI gpt-oos and all refused to translate text for 'inapproriate languge'. | 2025-11-03T13:06:23 | https://www.reddit.com/r/LocalLLaMA/comments/1onb8oi/suggest_some_uncensored_open_source_llms_good_for/ | blnkslt | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1onb8oi | false | null | t3_1onb8oi | /r/LocalLLaMA/comments/1onb8oi/suggest_some_uncensored_open_source_llms_good_for/ | false | false | self | 0 | null |
⚡️ Scaling Coding-Agent RL to 32x H100s. Achieving 160% improvement on Stanford's TerminalBench | 119 | 👋 Trekking along the forefront of applied AI is rocky territory, but it is the best place to be! My RL trained multi-agent-coding model Orca-Agent-v0.1 reached a 167% higher relative score than its base model on Stanford's TerminalBench. Which is cool! The trek across RL was at times painful, and at other times slight... | 2025-11-03T12:41:41 | https://www.reddit.com/gallery/1onaops | DanAiTuning | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1onaops | false | null | t3_1onaops | /r/LocalLLaMA/comments/1onaops/scaling_codingagent_rl_to_32x_h100s_achieving_160/ | false | false | 119 | null | |
Is this real? | 0 | Probably not but who knows | 2025-11-03T12:25:26 | https://medium.com/@hyborian_/sparse-adaptive-attention-moe-how-i-solved-openais-650b-problem-with-a-700-gpu-343f47b2d6c1 | PeonicThusness | medium.com | 1970-01-01T00:00:00 | 0 | {} | 1onaclc | false | null | t3_1onaclc | /r/LocalLLaMA/comments/1onaclc/is_this_real/ | false | false | default | 0 | null |
I built ARIA "Adaptive Resonant Intelligent Architecture" - a self-optimizing cognitive architecture with golden ratio spiral exploration, quaternion rotations, and epistemic curiosity (meta-learning that actually works) | 1 | [removed] | 2025-11-03T11:59:37 | https://www.reddit.com/r/LocalLLaMA/comments/1on9u7z/i_built_aria_adaptive_resonant_intelligent/ | ARIA_DontMindMe | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1on9u7z | false | null | t3_1on9u7z | /r/LocalLLaMA/comments/1on9u7z/i_built_aria_adaptive_resonant_intelligent/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '-cQBIfC0ft2xsMvtN1_5ba_iHYzl-TI9ZinP2F2U7aw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/-cQBIfC0ft2xsMvtN1_5ba_iHYzl-TI9ZinP2F2U7aw.png?width=108&crop=smart&auto=webp&s=a8c689522bcab62c087a1402c3dcdb3f0a65713e', 'width': 108}, {'height': 108, 'url': 'h... |
I built ARIA "Adaptive Resonant Intelligent Architecture" - a self-optimizing cognitive architecture with golden ratio spiral exploration, quaternion rotations, and epistemic curiosity (meta-learning that actually works) | 1 | [removed] | 2025-11-03T11:46:48 | https://www.reddit.com/r/LocalLLaMA/comments/1on9lkl/i_built_aria_adaptive_resonant_intelligent/ | ARIA_DontMindMe | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1on9lkl | false | null | t3_1on9lkl | /r/LocalLLaMA/comments/1on9lkl/i_built_aria_adaptive_resonant_intelligent/ | false | false | self | 1 | null |
What is optimal way to run llm ? | 0 | I have seen many tutorials and blog ,
They use
Transformer
Pytorch
Hugging face pipeline
Llama cpp
Langchain
Which is best according to a agentic ai perceptive where we need complete control over llm and add rag , mcp etc
Currently using langchain | 2025-11-03T11:39:07 | https://www.reddit.com/r/LocalLLaMA/comments/1on9g9y/what_is_optimal_way_to_run_llm/ | Legendary_Outrage | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1on9g9y | false | null | t3_1on9g9y | /r/LocalLLaMA/comments/1on9g9y/what_is_optimal_way_to_run_llm/ | false | false | self | 0 | null |
I tried pushing local inference too far. Here’s what broke. | 0 | Been running some local inference experiments lately and decided to see how far a single RTX 3090 (24GB) can actually go.Here’s the TL;DR:
→ 7B flies
→ 13B is the sweet spot
→ 32B... somehow fits, but only with aggressive quantization and tuningSurprisingly, the real pain wasn’t FLOPs, it was *tooling*. New... | 2025-11-03T11:38:13 | https://www.reddit.com/r/LocalLLaMA/comments/1on9fq2/i_tried_pushing_local_inference_too_far_heres/ | Level-Park3820 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1on9fq2 | false | null | t3_1on9fq2 | /r/LocalLLaMA/comments/1on9fq2/i_tried_pushing_local_inference_too_far_heres/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'iK_fY3mKF-eaQjBpSoewaA-xNQmPXgCuFzqmvpEnTjQ', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/iK_fY3mKF-eaQjBpSoewaA-xNQmPXgCuFzqmvpEnTjQ.png?width=108&crop=smart&auto=webp&s=8c70c502eea5856d7615797470b348cae4856b68', 'width': 108}, {'height': 113, 'url': 'h... |
I built ARIA "Adaptive Resonant Intelligent Architecture" - a self-optimizing cognitive architecture with golden ratio spiral exploration, quaternion rotations, and epistemic curiosity (meta-learning that actually works) | 1 | [removed] | 2025-11-03T11:36:45 | https://www.reddit.com/r/LocalLLaMA/comments/1on9esq/i_built_aria_adaptive_resonant_intelligent/ | ARIA_DontMindMe | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1on9esq | false | null | t3_1on9esq | /r/LocalLLaMA/comments/1on9esq/i_built_aria_adaptive_resonant_intelligent/ | false | false | self | 1 | null |
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