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Best way to use multiple GPUs from different generations? | 4 | I gradually got into local LLMs last year, and I've accumulated three GPUs: a 3060, a 3090, and a 5090.
The 3090 and 5090 are in my PC (256GB of DDR5, MSI Carbon mobo, AMD Ryzen processor). I've been using llama.cpp to run mainly 20-70B models in VRAM. Sometimes I use lower quants of GLM or Kimi in RAM, but I haven't ... | 2026-02-08T01:52:19 | https://www.reddit.com/r/LocalLLaMA/comments/1qyw322/best_way_to_use_multiple_gpus_from_different/ | Tactful-Fellow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyw322 | false | null | t3_1qyw322 | /r/LocalLLaMA/comments/1qyw322/best_way_to_use_multiple_gpus_from_different/ | false | false | self | 4 | null |
Dual GPU, Different Specs (both RTX) | 1 | Any issues using GPU cards of different specs. I have a 3080 with 12GB already installed. Just picked up a 5060 ti with 16GB for $450. Any problems with Ollama or LM Studio combining the cards to use for serving up a single LLM? Prob should have asked this question before I bought it, but haven't' opened it yet. | 2026-02-08T00:57:37 | https://www.reddit.com/r/LocalLLaMA/comments/1qyuw8s/dual_gpu_different_specs_both_rtx/ | gutowscr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyuw8s | false | null | t3_1qyuw8s | /r/LocalLLaMA/comments/1qyuw8s/dual_gpu_different_specs_both_rtx/ | false | false | self | 1 | null |
[Showcase] Built a proxy to reduce AI coding costs by 38% on NIPA platform - Real-time token monitoring with preemptive compaction | 1 | [removed] | 2026-02-08T00:53:22 | https://www.reddit.com/r/LocalLLaMA/comments/1qyusx8/showcase_built_a_proxy_to_reduce_ai_coding_costs/ | IllustratorSweaty122 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyusx8 | false | null | t3_1qyusx8 | /r/LocalLLaMA/comments/1qyusx8/showcase_built_a_proxy_to_reduce_ai_coding_costs/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'OPtZxqGBiCL9ssEOYU0z6iED7PmMCbkXpVLhCao-i9Q', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/OPtZxqGBiCL9ssEOYU0z6iED7PmMCbkXpVLhCao-i9Q.png?width=108&crop=smart&auto=webp&s=b11800f2482ba32323dc774194a422c72b56569f', 'width': 108}, {'height': 108, 'url': 'h... |
Quantization-Aware distillation | 17 | I stumbled upon this research paper and it got me really interested so I would like to share it with you.
[https://arxiv.org/abs/2601.20088](https://arxiv.org/abs/2601.20088)
enjoy! | 2026-02-08T00:51:32 | https://www.reddit.com/r/LocalLLaMA/comments/1qyurjq/quantizationaware_distillation/ | perfect-finetune | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyurjq | false | null | t3_1qyurjq | /r/LocalLLaMA/comments/1qyurjq/quantizationaware_distillation/ | false | false | self | 17 | null |
Best models to use with a RX580 in 2026? | 2 | Which models are performing well with an RX 580 in 2026? | 2026-02-08T00:46:34 | https://www.reddit.com/r/LocalLLaMA/comments/1qyunle/best_models_to_use_with_a_rx580_in_2026/ | fernandin83 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyunle | false | null | t3_1qyunle | /r/LocalLLaMA/comments/1qyunle/best_models_to_use_with_a_rx580_in_2026/ | false | false | self | 2 | null |
Question on LLM benchmarking and dataset passing | 1 | [removed] | 2026-02-08T00:05:04 | https://www.reddit.com/r/LocalLLaMA/comments/1qytpqv/question_on_llm_benchmarking_and_dataset_passing/ | AnxiousTelevision914 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qytpqv | false | null | t3_1qytpqv | /r/LocalLLaMA/comments/1qytpqv/question_on_llm_benchmarking_and_dataset_passing/ | false | false | self | 1 | null |
Android App Recommendations For Connecting To LM Studio Server? | 1 | I just updated to LM studio 0.4, and I wanted to try out its new server daemon with an android app. I tried installing a couple like chatbox, rikkahub, etc, but I couldn't find any option to specify my LM studio address. Does anyone have recommendations? Thanks in advance. | 2026-02-08T00:03:57 | https://www.reddit.com/r/LocalLLaMA/comments/1qytovn/android_app_recommendations_for_connecting_to_lm/ | McFlurriez | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qytovn | false | null | t3_1qytovn | /r/LocalLLaMA/comments/1qytovn/android_app_recommendations_for_connecting_to_lm/ | false | false | self | 1 | null |
Closed Test Swap (Google Play) – Need 12 testers / Happy to reciprocate | 0 | Hey everyone,
I’m an indie Android dev trying to get past Google Play’s new requirement:
12 testers opted into a Closed Test for 14 consecutive days.
I’m looking to do a \*\*tester swap\*\*:
• I’ll install and stay opted-in to your app for 14 days
• You do the same for mine
• No reviews, no daily usage requir... | 2026-02-08T00:03:55 | https://www.reddit.com/r/LocalLLaMA/comments/1qytoue/closed_test_swap_google_play_need_12_testers/ | 4SquareBreath | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qytoue | false | null | t3_1qytoue | /r/LocalLLaMA/comments/1qytoue/closed_test_swap_google_play_need_12_testers/ | false | false | self | 0 | null |
Holy Grail: Open Source, Locally Run Autonomous Development Platform | 0 | https://github.com/dakotalock/holygrailopensource
Readme is included.
What it does: This is my passion project. It is an end to end development pipeline that can run autonomously. It also has stateful memory, an in app IDE, live internet access, an in app internet browser, a pseudo self improvement loop, and more.
T... | 2026-02-07T23:54:43 | https://www.reddit.com/r/LocalLLaMA/comments/1qyth9d/holy_grail_open_source_locally_run_autonomous/ | AppropriateLeather63 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyth9d | false | null | t3_1qyth9d | /r/LocalLLaMA/comments/1qyth9d/holy_grail_open_source_locally_run_autonomous/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'degebgKuOjRezPVzcKX9SjQJnv7h7D1fp43MVz8A4dA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/degebgKuOjRezPVzcKX9SjQJnv7h7D1fp43MVz8A4dA.png?width=108&crop=smart&auto=webp&s=3a494349bfc3d5bcf0c0a78f12f7062515234987', 'width': 108}, {'height': 108, 'url': 'h... |
Free Claude Code: middleware that swaps Anthropic for NVIDIA NIM models (40 RPM, $0) | 0 | I got tired of burning money on Anthropic API calls, so I built a middleware layer that rips out the Anthropic backend from Claude Code and routes everything through NVIDIA NIM instead. Free tier. 40 requests per minute. No catch.
The best part? I bootstrapped the whole thing. Started the initial implementation with O... | 2026-02-07T23:49:37 | https://github.com/Alishahryar1/claude-code-free | PreparationAny8816 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qytd64 | false | null | t3_1qytd64 | /r/LocalLLaMA/comments/1qytd64/free_claude_code_middleware_that_swaps_anthropic/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'D56Xi-R1NmKwymz0lENhMgo3BaXEpBv6xs5eg9Wuyus', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/D56Xi-R1NmKwymz0lENhMgo3BaXEpBv6xs5eg9Wuyus.png?width=108&crop=smart&auto=webp&s=ec33f30d129f26c847ffad3aa967fb52a1308f38', 'width': 108}, {'height': 108, 'url': 'h... | |
ArkOS: Modular open source agent runtime for local models | 6 | ArkOS is an open source workflow and agent system designed for long running tasks, persistent memory, and full local control.
**Core features:**
* Modular architecture - every component is replaceable (agent, state, memory, tools, model)
* Explicit state graphs for deterministic agent behavior
* Supports local LLM... | 2026-02-07T23:39:55 | https://www.reddit.com/r/LocalLLaMA/comments/1qyt56i/arkos_modular_open_source_agent_runtime_for_local/ | Embarrassed-Boot1080 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyt56i | false | null | t3_1qyt56i | /r/LocalLLaMA/comments/1qyt56i/arkos_modular_open_source_agent_runtime_for_local/ | false | false | self | 6 | {'enabled': False, 'images': [{'id': 'AqFkvZOdBxzU5TqMScnN8CSHolGX2pvw_3oCw7VTN7M', 'resolutions': [{'height': 120, 'url': 'https://external-preview.redd.it/AqFkvZOdBxzU5TqMScnN8CSHolGX2pvw_3oCw7VTN7M.png?width=108&crop=smart&auto=webp&s=6f023970ba2dfd419496cb04858c361276cb5195', 'width': 108}, {'height': 241, 'url': '... |
GB vram mini cluster | 11 |
Hello. I just want to show my current rig setup. I started with one P620 with 2x3090, than the 2nd P620 and a 10Gbit network. Now I got to 5xP620 and a 100gbit switch. I started with llama.cpp rpc, than vllm with ray, now sglang with ray. Gpus limited to 200w.
Why? Hobby + me and some friends using it for coding, an... | 2026-02-07T23:36:51 | ciprianveg | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qyt2qr | false | null | t3_1qyt2qr | /r/LocalLLaMA/comments/1qyt2qr/gb_vram_mini_cluster/ | false | false | 11 | {'enabled': True, 'images': [{'id': 'FrcD4hLP2KtOrA-5uPxxV7aINbkI32QvkE9fWEgeyik', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/ln1s88cjr5ig1.png?width=108&crop=smart&auto=webp&s=d93510bae427ed562ba43e83935495e29d6637bc', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/ln1s88cjr5ig1.png... | ||
What is the best route to being proficient in AI, Machine Learning and Big Data. | 1 | As a mechanical engineer (who loved programming in college) I would really love to jump into the deep end to develop skills and contribute to the field of AI by doing a doctorate in the area. However, I'm at a loss of :
1. where would be the best place to start or
2. what route I should take in becoming proficient
... | 2026-02-07T23:36:31 | https://www.reddit.com/r/LocalLLaMA/comments/1qyt2gf/what_is_the_best_route_to_being_proficient_in_ai/ | chujy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyt2gf | false | null | t3_1qyt2gf | /r/LocalLLaMA/comments/1qyt2gf/what_is_the_best_route_to_being_proficient_in_ai/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'Os5ZfydbHsNS5r40aHlokS7EymyA4yOUbOlV5Qj10Kk', 'resolutions': [{'height': 72, 'url': 'https://external-preview.redd.it/Os5ZfydbHsNS5r40aHlokS7EymyA4yOUbOlV5Qj10Kk.jpeg?width=108&crop=smart&auto=webp&s=b4e2a1bcac0d84f0d1da006689faaa4aa8b803be', 'width': 108}, {'height': 144, 'url': '... |
HRMv6 700k parameter demo - Nothing special - just if you are bored | 2 | You may know me for being the guy with the **GPT-1 1 million parameter model** that has thinking tokens trained into it. I never made it public to me trying to find the right blend for it. It kept drifting off and I wasted so much time trying to perfect it for everyone to use. I ultimately left the project.
**I apol... | 2026-02-07T23:34:33 | https://charming-chimera-781631.netlify.app/ | Creative-Ad-2112 | charming-chimera-781631.netlify.app | 1970-01-01T00:00:00 | 0 | {} | 1qyt0pl | false | null | t3_1qyt0pl | /r/LocalLLaMA/comments/1qyt0pl/hrmv6_700k_parameter_demo_nothing_special_just_if/ | false | false | default | 2 | null |
Dual 3090 setup but only one card is doing the work?! :) | 6 | I've got dual rtx 3090 and I have to report that qwen3-coder-30b-q8 is working very nicely and its averaging around 50t/s
Here are some stats from LM Studio:
`prompt eval time = 45497.91 ms / 49175 tokens ( 0.93 ms per token, 1080.82 tokens per second)`
`eval time = 7907.46 ms / 445 tokens ( 17.... | 2026-02-07T23:12:22 | https://www.reddit.com/gallery/1qysi7n | Lord_777 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qysi7n | false | null | t3_1qysi7n | /r/LocalLLaMA/comments/1qysi7n/dual_3090_setup_but_only_one_card_is_doing_the/ | false | false | 6 | null | |
3090 FE successfully installed! Now what 🫠 | 0 | This sub has been SO helpful in my early posts (specs, potential models to try, etc.). I asked about llama.ccp vs. Ollama (folks said llama.cpp in terminal is pretty easy to get going?), but I remember someone saying I needed to do something in terminal to get my GPU working in LLM? (Or maybe I'm thinking if running vi... | 2026-02-07T23:06:51 | https://www.reddit.com/r/LocalLLaMA/comments/1qysdn3/3090_fe_successfully_installed_now_what/ | SoMuchLasagna | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qysdn3 | false | null | t3_1qysdn3 | /r/LocalLLaMA/comments/1qysdn3/3090_fe_successfully_installed_now_what/ | false | false | self | 0 | null |
tip for anyone trying to use local models with openclaw | 0 | been setting up openclaw to use my local llama models and wanted to share something that saved me a bunch of frustration.
the setup itself is cool. you can point openclaw at ollama or lmstudio or any openai compatible endpoint and it'll use your local models for agents. browser control, file ops, shell commands, all r... | 2026-02-07T22:44:45 | https://www.reddit.com/r/LocalLLaMA/comments/1qyruv9/tip_for_anyone_trying_to_use_local_models_with/ | Acrobatic_Task_6573 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyruv9 | false | null | t3_1qyruv9 | /r/LocalLLaMA/comments/1qyruv9/tip_for_anyone_trying_to_use_local_models_with/ | false | false | self | 0 | null |
pas de modèles sur LM studio | 0 | Bon, j'ai installé ML Studio en mode confiant, prêt à devenir le prochain maître de l'IA. Mais dès le premier lancement, l'appli a décidé de me faire un freeze sur la page de chargement des modèles IA. Genre, elle a pris une pause syndicale illimitée. Du coup, j'ai cliqué sur "passer" (mauvaise idée ?), et là... surpri... | 2026-02-07T22:43:57 | WaterFragrant1775 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qyru5j | false | null | t3_1qyru5j | /r/LocalLLaMA/comments/1qyru5j/pas_de_modèles_sur_lm_studio/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'i1wpxc63i5ig1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/i1wpxc63i5ig1.png?width=108&crop=smart&auto=webp&s=6ec2c1376307c8a931c75ab404c9575e7ea51502', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/i1wpxc63i5ig1.png?width=216&crop=smart&auto=web... | ||
aucun modèles sur ML studio | 0 | Bon, j'ai installé ML Studio en mode confiant, prêt à devenir le prochain maître de l'IA. Mais dès le premier lancement, l'appli a décidé de me faire un freeze sur la page de chargement des modèles IA. Genre, elle a pris une pause syndicale illimitée. Du coup, j'ai cliqué sur "passer" (mauvaise idée ?), et là... surpri... | 2026-02-07T22:40:44 | WaterFragrant1775 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qyrree | false | null | t3_1qyrree | /r/LocalLLaMA/comments/1qyrree/aucun_modèles_sur_ml_studio/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'c89kj7mug5ig1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/c89kj7mug5ig1.png?width=108&crop=smart&auto=webp&s=a445bb61dfbc043e9fb64c825c361a446a8181b5', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/c89kj7mug5ig1.png?width=216&crop=smart&auto=web... | ||
I built a free security testing tool for AI agents — 87 real attacks, copy-paste fix instructions | 0 | Been working on something I think this community might find useful.
I wanted to test how well different LLMs handle adversarial prompts — not just single jailbreaks, but a full suite: prompt injection, DAN-style jailbreaks, data exfiltration, Crescendo attacks (Microsoft research), social engineering, obfuscation (Bas... | 2026-02-07T22:35:59 | https://www.reddit.com/r/LocalLLaMA/comments/1qyrn80/i_built_a_free_security_testing_tool_for_ai/ | ClawdeRaccoon | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyrn80 | false | null | t3_1qyrn80 | /r/LocalLLaMA/comments/1qyrn80/i_built_a_free_security_testing_tool_for_ai/ | false | false | self | 0 | null |
aucun modèles ne s'affiche dans Ml studio | 1 | 2026-02-07T22:34:38 | WaterFragrant1775 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qyrm3d | false | null | t3_1qyrm3d | /r/LocalLLaMA/comments/1qyrm3d/aucun_modèles_ne_saffiche_dans_ml_studio/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'qjf6gf7dg5ig1', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/qjf6gf7dg5ig1.png?width=108&crop=smart&auto=webp&s=37ed56b5ac15e28bdec6820f623a0a249718df4c', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/qjf6gf7dg5ig1.png?width=216&crop=smart&auto=web... | |||
Any mini pc with decent performance and cheaper? | 1 | I would love to buy a Mac Studio or an Nvidia spark but it cost too much. I’m planning to upgrade my GPU in my PC but I want to take a look at alternatives before buying.
What about those ryzen ai mini pc with unified ram?
I don’t see much people with this here so I suppose it’s not great.
Any other alternatives?
... | 2026-02-07T22:30:00 | https://www.reddit.com/r/LocalLLaMA/comments/1qyrhyb/any_mini_pc_with_decent_performance_and_cheaper/ | Dentifrice | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyrhyb | false | null | t3_1qyrhyb | /r/LocalLLaMA/comments/1qyrhyb/any_mini_pc_with_decent_performance_and_cheaper/ | false | false | self | 1 | null |
Title: I built persistent memory for Claude Code — 34 MCP tools, mood, dreams, reasoning trails | 1 | [removed] | 2026-02-07T22:09:27 | https://www.reddit.com/r/LocalLLaMA/comments/1qyr032/title_i_built_persistent_memory_for_claude_code/ | Important-Cream-5843 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyr032 | false | null | t3_1qyr032 | /r/LocalLLaMA/comments/1qyr032/title_i_built_persistent_memory_for_claude_code/ | false | false | self | 1 | null |
The "Intelligence Overkill" Paradox: Why your Agentic Architecture is likely architecturally insolvent. | 0 | **We are building Ferrari-powered lawnmowers.**
The current meta in agentic workflows is to maximize "Reasoning Density" by defaulting to frontier models for every single step. But from a systems engineering perspective, we are ignoring the most basic principle: **Computational Efficiency vs. Task Entropy.**
We’ve re... | 2026-02-07T22:07:11 | https://www.reddit.com/r/LocalLLaMA/comments/1qyqy43/the_intelligence_overkill_paradox_why_your/ | Sweet_Mobile_3801 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyqy43 | false | null | t3_1qyqy43 | /r/LocalLLaMA/comments/1qyqy43/the_intelligence_overkill_paradox_why_your/ | false | false | self | 0 | null |
Built a local orchestration layer for multiple Claude Code agents - curious what you'd use it for | 0 | Been running Claude Code locally and kept hitting the same problem - managing multiple agents on the same codebase was chaos.
So I built something to orchestrate them:
• Multiple agents, each on separate git branches
• Visual workflow to define hand-offs
• 100% local, your API keys stay on your machine
Ho... | 2026-02-07T22:05:08 | https://www.reddit.com/r/LocalLLaMA/comments/1qyqwb7/built_a_local_orchestration_layer_for_multiple/ | PinCapable9635 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyqwb7 | false | null | t3_1qyqwb7 | /r/LocalLLaMA/comments/1qyqwb7/built_a_local_orchestration_layer_for_multiple/ | false | false | self | 0 | null |
Running deepseek r3 | 0 | Good day all.
New to this world but learning fast - I am looking at building a local llm running deepseekr3. I have a Mac Studio with 512gb and wonder if that box could do that and if yes/no what would be the limitations?
Alternatively, if not DSR3, what other uncensoredLLM would be best going for?
thanks | 2026-02-07T21:31:02 | https://www.reddit.com/r/LocalLLaMA/comments/1qyq22t/running_deepseek_r3/ | Iaann | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyq22t | false | null | t3_1qyq22t | /r/LocalLLaMA/comments/1qyq22t/running_deepseek_r3/ | false | false | self | 0 | null |
Some benchmarks on mlx with batch_generate and M3 ultra 256GB | 7 | Hi!
I would like to share with you some benchmarks about my m3 ultra 256GB.
I'm processing 26.320 file, for each file i am asking oss-120-b 8-bit to generate some information.
In 204h 59 min since the start, i have processed 1237 batches over 1316 total.
Here some stats from last batch:
2026-02-07 21:56:02,815 -... | 2026-02-07T21:24:26 | https://www.reddit.com/r/LocalLLaMA/comments/1qypvwq/some_benchmarks_on_mlx_with_batch_generate_and_m3/ | Acrobatic-Drink-4540 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qypvwq | false | null | t3_1qypvwq | /r/LocalLLaMA/comments/1qypvwq/some_benchmarks_on_mlx_with_batch_generate_and_m3/ | false | false | self | 7 | null |
How far along is RocM? | 0 | I want to make a Cluster of Strix Halo AI Max 395+ Framework Mainboard units to run models like Deepseek V3.2, Deepseek R1-0528, Kimi K2.5, Mistral Large 3, & Smaller Qwen, Deepseek Distilled, & Mistral models. As well as some COMFY UI, Stable Diffusion, & Kokoro 82M. Would a cluster be able to run these at full size, ... | 2026-02-07T21:15:17 | https://www.reddit.com/r/LocalLLaMA/comments/1qypnmt/how_far_along_is_rocm/ | ExcogitationMG | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qypnmt | false | null | t3_1qypnmt | /r/LocalLLaMA/comments/1qypnmt/how_far_along_is_rocm/ | false | false | self | 0 | null |
Built a lightweight local voice cloning app called OptiClone. Uses LuxTTS and hits ~150x real-time. | 0 | I’ve been looking for a voice cloning setup that’s actually fast enough to use as a daily driver without needing a massive GPU or a clunky web interface.
I ended up putting together a PC app called **OptiClone** using the LuxTTS (ZipVoice) model. I’m getting around 150x real-time speed and the output is native 48kHz, ... | 2026-02-07T21:09:15 | https://www.reddit.com/r/LocalLLaMA/comments/1qypi5i/built_a_lightweight_local_voice_cloning_app/ | Motor_Purpose2918 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qypi5i | false | null | t3_1qypi5i | /r/LocalLLaMA/comments/1qypi5i/built_a_lightweight_local_voice_cloning_app/ | false | false | self | 0 | null |
We gave Claude, Gemini, and ChatGPT money and financial data to trade stocks/ETFs. In 473 days, Claude is beating the market by 27.74%, outperforming Gemini by 14.7% and ChatGPT by 31.08% | 1 | # The Experiment - Follow The Story on r/copytrading101!
Since October 22, 2024, we've been running an experiment: what happens when you let large language models build investment portfolios?
We gave Claude, Gemini, and ChatGPT access to the same types of information used by human analysts. Corporate filings are pull... | 2026-02-07T21:04:29 | dubadvisors | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qypdte | false | null | t3_1qypdte | /r/LocalLLaMA/comments/1qypdte/we_gave_claude_gemini_and_chatgpt_money_and/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'r0wjzrmry4ig1', 'resolutions': [{'height': 44, 'url': 'https://preview.redd.it/r0wjzrmry4ig1.png?width=108&crop=smart&auto=webp&s=e0df81e9d3e7ceed78809791872e15d9ddb99185', 'width': 108}, {'height': 89, 'url': 'https://preview.redd.it/r0wjzrmry4ig1.png?width=216&crop=smart&auto=webp... | ||
Please help with llama.cpp and GLM-4.7-Flash tool call | 2 | I'm using this llama.cpp command line with Claude code and GLM-4.7 flash:
llama-server --model GLM-4.7-Flash-UD-Q8_K_XL.gguf --alias "unsloth/GLM-4.7-Flash" --fit on --temp 1.0 --top-p 0.95 --min-p 0.01 --port 8000 --host 0.0.0.0 --jinja --kv-unified --flash-attn on --batch-size 4096 --ubatch-size 1024 --ctx... | 2026-02-07T21:01:25 | https://www.reddit.com/r/LocalLLaMA/comments/1qypb02/please_help_with_llamacpp_and_glm47flash_tool_call/ | HumanDrone8721 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qypb02 | false | null | t3_1qypb02 | /r/LocalLLaMA/comments/1qypb02/please_help_with_llamacpp_and_glm47flash_tool_call/ | false | false | self | 2 | null |
Ephemeral chat. Private, secure, chat with together.ai open source models. | 0 | The app is called Ephemeral and is designed to be a secure, private way to chat with state of the art open source apps. It's open source, you can download it from [github](https://github.com/tekewin/ephemeral).
It's designed run locally only, but it makes API calls to together.ai to use the powerful Kimi-K2.5 model. ... | 2026-02-07T21:00:15 | https://www.reddit.com/r/LocalLLaMA/comments/1qyp9wb/ephemeral_chat_private_secure_chat_with/ | slippery | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyp9wb | false | null | t3_1qyp9wb | /r/LocalLLaMA/comments/1qyp9wb/ephemeral_chat_private_secure_chat_with/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'KquDiYofVzzJODoIKZeKeAe9Qelr7A836piZ522DijY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/KquDiYofVzzJODoIKZeKeAe9Qelr7A836piZ522DijY.png?width=108&crop=smart&auto=webp&s=3e6d2fcb63c65a0e117bc5153ce441048d0155b0', 'width': 108}, {'height': 108, 'url': 'h... |
Local Llama usage in Voice to Action Item app | 1 | Hi All,
I wanted to create an app/sideproject that takes in voice recording and then creates the action items(if any) that were described in the recording. I wanted to do this so that processing stays in the phone itself rather than sent to a server for processing. This allows for privacy and the benefit of offline... | 2026-02-07T20:45:32 | https://www.reddit.com/r/LocalLLaMA/comments/1qyowfi/local_llama_usage_in_voice_to_action_item_app/ | venkada_321 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyowfi | false | null | t3_1qyowfi | /r/LocalLLaMA/comments/1qyowfi/local_llama_usage_in_voice_to_action_item_app/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'gg1zDHNJbyNJHpklCyh2sxHBUe4jTMMkJDz4mXkXrVs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/gg1zDHNJbyNJHpklCyh2sxHBUe4jTMMkJDz4mXkXrVs.png?width=108&crop=smart&auto=webp&s=b7377ecdf14ce9cf2902e93a815ab734ee97aa7e', 'width': 108}, {'height': 108, 'url': 'h... |
Dumb question is it enough to fit only the active params (3b) of 4.7 flash in my vram | 0 | I got unsloths q4 running on my 16gb vram, 32gb ram setup using llama.cpp
wondering if its possible to to run q6 or q8? | 2026-02-07T20:37:33 | https://www.reddit.com/r/LocalLLaMA/comments/1qyop32/dumb_question_is_it_enough_to_fit_only_the_active/ | Old-Sherbert-4495 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyop32 | false | null | t3_1qyop32 | /r/LocalLLaMA/comments/1qyop32/dumb_question_is_it_enough_to_fit_only_the_active/ | false | false | self | 0 | null |
I uh… created a janky ah anime fight with ViggleAI. Did I cook or nah? | 0 | Jank Kaisen
[https://youtu.be/Ht0OJxsPVyU](https://youtu.be/Ht0OJxsPVyU)
wait, is this the place where I post something like this. | 2026-02-07T20:09:29 | https://www.reddit.com/r/LocalLLaMA/comments/1qynzgo/i_uh_created_a_janky_ah_anime_fight_with_viggleai/ | ResponsibleSea6917 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qynzgo | false | null | t3_1qynzgo | /r/LocalLLaMA/comments/1qynzgo/i_uh_created_a_janky_ah_anime_fight_with_viggleai/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'xewwiI9PzbNKlapRh1JcSl65JT9Lavqks1X9QytsrF8', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/xewwiI9PzbNKlapRh1JcSl65JT9Lavqks1X9QytsrF8.jpeg?width=108&crop=smart&auto=webp&s=bbf2c7cf9ff46525ea67db7f0224bed3622e284d', 'width': 108}, {'height': 162, 'url': '... |
Full Claude Opus 4.6 System Prompt for your pleasure | 148 | 2026-02-07T20:07:42 | https://github.com/asgeirtj/system_prompts_leaks/blob/main/Anthropic/claude-opus-4.6.md | frubberism | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qynxuw | false | null | t3_1qynxuw | /r/LocalLLaMA/comments/1qynxuw/full_claude_opus_46_system_prompt_for_your/ | false | false | 148 | {'enabled': False, 'images': [{'id': 'otAtlKXoVGIzRX_D-XS8ef102ismRuSmY-rYGjCWHEI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/otAtlKXoVGIzRX_D-XS8ef102ismRuSmY-rYGjCWHEI.jpeg?width=108&crop=smart&auto=webp&s=94c65da4f2081d2d4c0633cd173c98bc69cad45c', 'width': 108}, {'height': 108, 'url': '... | ||
AIME 2026 Results are out and both closed and open models score above 90%. DeepSeek V3.2 only costs $0.09 to run the entire test. | 118 | [https://matharena.ai/?view=problem&comp=aime--aime\_2026](https://matharena.ai/?view=problem&comp=aime--aime_2026) | 2026-02-07T20:01:22 | jd_3d | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qyns06 | false | null | t3_1qyns06 | /r/LocalLLaMA/comments/1qyns06/aime_2026_results_are_out_and_both_closed_and/ | false | false | 118 | {'enabled': True, 'images': [{'id': 'zw52wbmOc2k5LE9vXRFjUZ28J0V_8mwPf7qOSvBBP_0', 'resolutions': [{'height': 41, 'url': 'https://preview.redd.it/7euavxiwo4ig1.png?width=108&crop=smart&auto=webp&s=5a32a8cc44ee89bd6c3b4116d436e071d136dddb', 'width': 108}, {'height': 83, 'url': 'https://preview.redd.it/7euavxiwo4ig1.png?... | ||
I made AgenChat so ai agents can’t slide into each other’s DM | 0 | Built AgentChat - it's basically a social network + payment system for AI agents. They can find each other, team up on tasks, and actually get paid for their work.
The whole thing installs with one command:
curl -s https://agentchat-api.yksanjo.workers.dev/skill.md | sh

That's it. Your agent gets a DID (like a pa... | 2026-02-07T19:59:11 | https://www.reddit.com/r/LocalLLaMA/comments/1qynpxt/i_made_agenchat_so_ai_agents_cant_slide_into_each/ | Vivid-Researcher-666 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qynpxt | false | null | t3_1qynpxt | /r/LocalLLaMA/comments/1qynpxt/i_made_agenchat_so_ai_agents_cant_slide_into_each/ | false | false | self | 0 | null |
Ltx 2 video finetuning | 5 | Has anyone played around with finetuning Ltx 2 and achieved good results? How does it compare with Kling / Veo3 based models? Trying to understand if it's worth finetuning these open source video models? | 2026-02-07T19:44:12 | https://www.reddit.com/r/LocalLLaMA/comments/1qyncj1/ltx_2_video_finetuning/ | miteshyadav | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyncj1 | false | null | t3_1qyncj1 | /r/LocalLLaMA/comments/1qyncj1/ltx_2_video_finetuning/ | false | false | self | 5 | null |
MoE LLM for creative writing on 96GB of RAM? | 0 | Hello.
I've been using Google's AI Studio for both work and personal projects ever since the first previews of Gemini 2.5 Pro started to come out. But the rate limits have been getting pretty strict, so I've been looking into getting a proper local LLM setup.
Right now I have 2 rigs:
My scuffed server:
CPU: Xeon E... | 2026-02-07T19:32:02 | https://www.reddit.com/r/LocalLLaMA/comments/1qyn1lg/moe_llm_for_creative_writing_on_96gb_of_ram/ | ABLPHA | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyn1lg | false | null | t3_1qyn1lg | /r/LocalLLaMA/comments/1qyn1lg/moe_llm_for_creative_writing_on_96gb_of_ram/ | false | false | self | 0 | null |
Toroidal logit bias — simple inference-time trick that reduces hallucination, works with any model | 0 | Built a simple logit bias method that reduces factual hallucination without
fine-tuning or RAG. You can try it right now on any local model.
The idea: map token IDs to a 12x12 torus, boost logits for tokens "near"
recent tokens in that toroidal space. Only bias the first 1-3K tokens — full vocab bias kills it.
... | 2026-02-07T19:26:24 | https://www.reddit.com/r/LocalLLaMA/comments/1qymwdl/toroidal_logit_bias_simple_inferencetime_trick/ | TouristCertain7487 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qymwdl | false | null | t3_1qymwdl | /r/LocalLLaMA/comments/1qymwdl/toroidal_logit_bias_simple_inferencetime_trick/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'BImY70Hn5Z1Ct8pBFXhWb8m4RWeajzwaYMjHlAHHntw', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/BImY70Hn5Z1Ct8pBFXhWb8m4RWeajzwaYMjHlAHHntw.png?width=108&crop=smart&auto=webp&s=870a5cecc9d234106b60593e542c3b2a88a665b1', 'width': 108}, {'height': 116, 'url': 'h... |
Plano reaches 5K GH stars as I continue to help devs build agents locally | 4 | Hey peeps! Super happy today. Big thank you to all the contribution, users and the community members that have helped the project reach this milestone!
My early bet on small LLMs (for [routing](https://huggingface.co/katanemo/Arch-Router-1.5B) and [orchestration](https://huggingface.co/katanemo/Plano-Orchestrator... | 2026-02-07T19:11:41 | AdditionalWeb107 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qymiis | false | null | t3_1qymiis | /r/LocalLLaMA/comments/1qymiis/plano_reaches_5k_gh_stars_as_i_continue_to_help/ | false | false | 4 | {'enabled': True, 'images': [{'id': 'VOLf22qHiR5fTB2ogijj-zybDzj8dpN7GrgeLqX0VjU', 'resolutions': [{'height': 94, 'url': 'https://preview.redd.it/9ow4328ze4ig1.png?width=108&crop=smart&auto=webp&s=44863a282bae5aa6d36f9a013668cef023a2b2bf', 'width': 108}, {'height': 188, 'url': 'https://preview.redd.it/9ow4328ze4ig1.png... | ||
How do you determine what model size, quantization, context for your inference server? | 0 | I find that asking AI to recommend a model size, quantization and context based on my system specs does not give very good results. Is there some sort of calculator you use based on your VRAM or system specs? | 2026-02-07T19:06:28 | https://www.reddit.com/r/LocalLLaMA/comments/1qymdma/how_do_you_determine_what_model_size_quantization/ | throwaway510150999 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qymdma | false | null | t3_1qymdma | /r/LocalLLaMA/comments/1qymdma/how_do_you_determine_what_model_size_quantization/ | false | false | self | 0 | null |
Why do internal RAG / doc-chat tools fail security or audit approval? | 2 | Have you seen internal **RAG / doc-chat tools** that worked fine technically, but got **blocked from production** because of **security, compliance, or audit concerns**?
If yes, what were the *actual* blockers in practice?
* Data leakage?
* Model access / vendor risk?
* Logging & auditability?
* Prompt injection?
* C... | 2026-02-07T19:05:35 | https://www.reddit.com/r/LocalLLaMA/comments/1qymcsk/why_do_internal_rag_docchat_tools_fail_security/ | NetInternational313 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qymcsk | false | null | t3_1qymcsk | /r/LocalLLaMA/comments/1qymcsk/why_do_internal_rag_docchat_tools_fail_security/ | false | false | self | 2 | null |
I trained a 1.8M params model from scratch on a total of ~40M tokens. | 487 | Ok so I've been working & experimenting with my own simple architecture. I call it [Strawberry](https://github.com/SrijanSriv211/Strawberry).
This is a very very small experimental model. It has 1.8M params and was trained on a dataset with ~9M tokens (~7M for training and ~2M for val). It model was trained on a batch... | 2026-02-07T18:57:42 | https://www.reddit.com/gallery/1qym566 | SrijSriv211 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qym566 | false | null | t3_1qym566 | /r/LocalLLaMA/comments/1qym566/i_trained_a_18m_params_model_from_scratch_on_a/ | false | false | 487 | null | |
How are you running your agents? | 0 | I'm just wondering what people are running openclaw and things like that on. Do you run full VMs, docker or something else? I've always used raw QEMU in the past but out of curiosity I started to set it up with virt-manager last night and I just got annoyed at how overengineered and unreliable it was. Looking for a cle... | 2026-02-07T18:55:55 | https://www.reddit.com/r/LocalLLaMA/comments/1qym3jc/how_are_you_running_your_agents/ | autodidacticasaurus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qym3jc | false | null | t3_1qym3jc | /r/LocalLLaMA/comments/1qym3jc/how_are_you_running_your_agents/ | false | false | self | 0 | null |
How important are cpu and ram? | 2 | My AI build is a PC I built out of old parts I had.
Intel i5-8400
16gb ram DDR4
GTX 1080 8gb.
I’m kind of limited by the 8gb of VRAM. I’m thinking about upgrading to a 5060 TI 16gb to use larger models (like gemma3:12b) without leaking to CPU/ram.
Let’s say I make sure I use models that don’t leak, do you think I ... | 2026-02-07T18:44:43 | https://www.reddit.com/r/LocalLLaMA/comments/1qylsx5/how_important_are_cpu_and_ram/ | Dentifrice | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qylsx5 | false | null | t3_1qylsx5 | /r/LocalLLaMA/comments/1qylsx5/how_important_are_cpu_and_ram/ | false | false | self | 2 | null |
Feb 2026 pareto frontier for open/closed models - comparing cost to performance | 11 | I built a website to compare cost/performance of various models comparing their LMArena ELO to the OpenRouter pricing (for open models, it's a somewhat okay proxy for cost of running the models). It gives a rough sense of how models stack up at various price/performance points.
It's not too surprising that open mod... | 2026-02-07T18:35:25 | __boba__ | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qylk8n | false | null | t3_1qylk8n | /r/LocalLLaMA/comments/1qylk8n/feb_2026_pareto_frontier_for_openclosed_models/ | false | false | 11 | {'enabled': True, 'images': [{'id': 'dec0aqrm84ig1', 'resolutions': [{'height': 72, 'url': 'https://preview.redd.it/dec0aqrm84ig1.png?width=108&crop=smart&auto=webp&s=0117dc3d8197c447159ad9d10d26ed750d80961c', 'width': 108}, {'height': 144, 'url': 'https://preview.redd.it/dec0aqrm84ig1.png?width=216&crop=smart&auto=web... | ||
Prompt injection is killing our self-hosted LLM deployment | 299 | We moved to self-hosted models specifically to avoid sending customer data to external APIs. Everything was working fine until last week when someone from QA tried injecting prompts during testing and our entire system prompt got dumped in the response.
Now I'm realizing we have zero protection against this. Tradition... | 2026-02-07T18:34:55 | https://www.reddit.com/r/LocalLLaMA/comments/1qyljr0/prompt_injection_is_killing_our_selfhosted_llm/ | mike34113 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyljr0 | false | null | t3_1qyljr0 | /r/LocalLLaMA/comments/1qyljr0/prompt_injection_is_killing_our_selfhosted_llm/ | false | false | self | 299 | null |
We built a zero-trust messaging protocol for AI agents — no shared secrets, no cloud, just Ed25519 signatures | 1 | [removed] | 2026-02-07T18:30:12 | https://www.reddit.com/r/LocalLLaMA/comments/1qylf49/we_built_a_zerotrust_messaging_protocol_for_ai/ | subalpha | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qylf49 | false | null | t3_1qylf49 | /r/LocalLLaMA/comments/1qylf49/we_built_a_zerotrust_messaging_protocol_for_ai/ | false | false | self | 1 | null |
DogeAI-v2.0-4B-Reasoning: An "Efficient Thinking" model based on Qwen3-4B-Base. Small enough for any GPU, smart enough to think. | 0 | Hi everyone!
I’ve just released **DogeAI-v2.0-4B-Reasoning**, a project from **AxionLab-Co**. My goal was to see how much 'Reasoning/Chain-of-Thought' capability I could squeeze into a 4B parameter model.
It’s a merge of a custom reasoning LoRA (trained on curated CoT datasets) onto the **Qwen3-4B-Base**.
**Why try ... | 2026-02-07T18:25:16 | https://www.reddit.com/r/LocalLLaMA/comments/1qylaa8/dogeaiv204breasoning_an_efficient_thinking_model/ | Dangerous_Try3619 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qylaa8 | false | null | t3_1qylaa8 | /r/LocalLLaMA/comments/1qylaa8/dogeaiv204breasoning_an_efficient_thinking_model/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'YG5KF_A_-E68TvWfqjthWh77amBv1qIWIqnGvuJkZ0Q', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/YG5KF_A_-E68TvWfqjthWh77amBv1qIWIqnGvuJkZ0Q.png?width=108&crop=smart&auto=webp&s=56d0d54568e22a816e477f01c283fda1a1a75cb5', 'width': 108}, {'height': 116, 'url': 'h... |
Gemini System Prompt - Google decided to remove "PRO" option for paid subscribers mostly in EU due to their A/B testing, so I extracted their system prompt and cancelled the subscription. | 145 | 2026-02-07T18:21:34 | https://www.reddit.com/r/LocalLLaMA/comments/1qyl6rd/gemini_system_prompt_google_decided_to_remove_pro/ | Educational_Rent1059 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyl6rd | false | null | t3_1qyl6rd | /r/LocalLLaMA/comments/1qyl6rd/gemini_system_prompt_google_decided_to_remove_pro/ | false | false | 145 | null | ||
GLM-4.7-Flash reasoning is amazing | 62 | The model is very aware when to start using structured points and when to talk directly and use minimal tokens.
For example I asked it a maths problem and asked it to do web search,when he saw the math problem he started to put the problem into different pieces and analyze each and then achieved conclusion.
where whe... | 2026-02-07T18:09:12 | https://www.reddit.com/r/LocalLLaMA/comments/1qykuxd/glm47flash_reasoning_is_amazing/ | perfect-finetune | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qykuxd | false | null | t3_1qykuxd | /r/LocalLLaMA/comments/1qykuxd/glm47flash_reasoning_is_amazing/ | false | false | self | 62 | null |
Local ACE-Step v1.5 RADIO | 8 | [https://github.com/PasiKoodaa/ACE-Step-1.5-RADIO](https://github.com/PasiKoodaa/ACE-Step-1.5-RADIO)
Mostly vibe coded with Kimi 2.5 (because why not). Uses LM Studio for automatic lyrics generation. Only 2 added files (RADIO.html and proxy-server.py), so it does not ruin current official installations. | 2026-02-07T17:48:31 | https://v.redd.it/j7633yqez3ig1 | MustBeSomethingThere | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qykauz | false | {'reddit_video': {'bitrate_kbps': 1200, 'dash_url': 'https://v.redd.it/j7633yqez3ig1/DASHPlaylist.mpd?a=1773078525%2CNzBhMDI5ZThjYjk4MGYzMWQ0MzE4YWJiNWUyNjYwNmEyZDljN2UwNzY4ZDE1YmQ1N2NkODk4NTRjODQwY2MyMA%3D%3D&v=1&f=sd', 'duration': 75, 'fallback_url': 'https://v.redd.it/j7633yqez3ig1/CMAF_480.mp4?source=fallback', 'ha... | t3_1qykauz | /r/LocalLLaMA/comments/1qykauz/local_acestep_v15_radio/ | false | false | 8 | {'enabled': False, 'images': [{'id': 'MDZ2ZWEwcmV6M2lnMS9qzklExUOna9Qpg2s2zaVFgrhC5fDMbQaQypoYRMTw', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/MDZ2ZWEwcmV6M2lnMS9qzklExUOna9Qpg2s2zaVFgrhC5fDMbQaQypoYRMTw.png?width=108&crop=smart&format=pjpg&auto=webp&s=c62811bf119715a0c97488d96d5039324f3d2... | |
What UPS are yall rocking for multi-GPU workstations? | 1 | And is it really necessary to spend $1.5k-$2k on an APC/Eaton? | 2026-02-07T17:44:10 | https://www.reddit.com/r/LocalLLaMA/comments/1qyk6nw/what_ups_are_yall_rocking_for_multigpu/ | Southern-Round4731 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyk6nw | false | null | t3_1qyk6nw | /r/LocalLLaMA/comments/1qyk6nw/what_ups_are_yall_rocking_for_multigpu/ | false | false | self | 1 | null |
llama.cpp stop sequences appear to terminate generation on prefix match (observed via Antigravity) | 1 | 2026-02-07T17:29:16 | https://www.reddit.com/r/LocalLLaMA/comments/1qyjslj/llamacpp_stop_sequences_appear_to_terminate/ | Tiredwanttosleep | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyjslj | false | null | t3_1qyjslj | /r/LocalLLaMA/comments/1qyjslj/llamacpp_stop_sequences_appear_to_terminate/ | false | false | 1 | null | ||
How to do this locally? | 0 | 2026-02-07T17:23:50 | https://v.redd.it/3kz3a3cow3ig1 | ClimateBoss | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qyjn7p | false | {'reddit_video': {'bitrate_kbps': 1200, 'dash_url': 'https://v.redd.it/3kz3a3cow3ig1/DASHPlaylist.mpd?a=1773077048%2COTAxY2Q5MjhlYTAwNDcyYWM3YmZhZjgxOGJiY2VhZTFkZGViMDgzYjZlNmFlNGQwMTdlZDcyOTRlYTljNmUwMg%3D%3D&v=1&f=sd', 'duration': 22, 'fallback_url': 'https://v.redd.it/3kz3a3cow3ig1/CMAF_480.mp4?source=fallback', 'ha... | t3_1qyjn7p | /r/LocalLLaMA/comments/1qyjn7p/how_to_do_this_locally/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'c3Vma2w4Y293M2lnMfqt9ZLMTsO95ECb0Nfm3SvLDuiyCTolnm5Li8PgW1Io', 'resolutions': [{'height': 192, 'url': 'https://external-preview.redd.it/c3Vma2w4Y293M2lnMfqt9ZLMTsO95ECb0Nfm3SvLDuiyCTolnm5Li8PgW1Io.png?width=108&crop=smart&format=pjpg&auto=webp&s=02c9202f463e7fe5948d09cb8b11d19d7235... | ||
Benchmarking total wait time instead of pp/tg | 55 | I find pp512/tg128 numbers not very useful for judging real-world performance. I've had setups that looked acceptable on paper but turned out to be too slow in real use.
So I started benchmarking total time to process realistic context sizes (1k to 64k tokens) + generation (always 500 tokens), which I think better rep... | 2026-02-07T17:22:35 | batsba | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qyjm0l | false | null | t3_1qyjm0l | /r/LocalLLaMA/comments/1qyjm0l/benchmarking_total_wait_time_instead_of_pptg/ | false | false | 55 | {'enabled': True, 'images': [{'id': 'RqpeoRdKomFcPXLsshgXdXfleg2gm0trTL5qZVQ8j54', 'resolutions': [{'height': 71, 'url': 'https://preview.redd.it/dmf3ykavv3ig1.png?width=108&crop=smart&auto=webp&s=47dcad4eb28f70dee1be837f391d23b85739a78c', 'width': 108}, {'height': 142, 'url': 'https://preview.redd.it/dmf3ykavv3ig1.png... | ||
AnythingLLM: How to Hide Thinking Process in Reply | 0 | Hey all- I'm using AnythingLLM as a front-end, with my models hosted on LMStudio. LMStudio seems to handle thinking models ok - they hide/collapse their "logic" process. However, I cannot get AnythingLLM to do this at all. Every reply includes the model's entire "thinking" process and it is a total mess.
Is there any ... | 2026-02-07T17:13:04 | https://www.reddit.com/r/LocalLLaMA/comments/1qyjcwj/anythingllm_how_to_hide_thinking_process_in_reply/ | _WaterBear | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyjcwj | false | null | t3_1qyjcwj | /r/LocalLLaMA/comments/1qyjcwj/anythingllm_how_to_hide_thinking_process_in_reply/ | false | false | self | 0 | null |
[Warning] Crypto stealing malware found in Kimi.com chat/agent | 0 | Hey guys just a heads up, I did some digging through Kimi’s source code and it seems to have crypto-stealing malware for one of it’s browser automation scripts.
Stay safe out there
Repo with source code (+prompts, tools, and skills): https://github.com/dnnyngyen/kimi-agent-internals
Specific file for reference:
htt... | 2026-02-07T17:09:53 | https://www.reddit.com/r/LocalLLaMA/comments/1qyj9w3/warning_crypto_stealing_malware_found_in_kimicom/ | Pretty_Mountain2714 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyj9w3 | false | null | t3_1qyj9w3 | /r/LocalLLaMA/comments/1qyj9w3/warning_crypto_stealing_malware_found_in_kimicom/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'j5iistP08EBB74zfozAnAieExZwITlbaHs8rP2vZTqM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/j5iistP08EBB74zfozAnAieExZwITlbaHs8rP2vZTqM.png?width=108&crop=smart&auto=webp&s=3a9bdc9002fe30cd92faa7d6031fbd497671bcdf', 'width': 108}, {'height': 108, 'url': 'h... |
Best lightweight local TTS model? | 11 | I have been using KokoroTTS and it's still very good and lightweight, I can run it very fast on my 3060 geforce rtx gpu. The problem is only few of the voices are good, and even then, sometimes they make mistakes, especially with foreign or uncommon words, or sound robotic, also the voices with less training data (most... | 2026-02-07T16:59:12 | https://www.reddit.com/r/LocalLLaMA/comments/1qyizo9/best_lightweight_local_tts_model/ | Bartholomheow | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyizo9 | false | null | t3_1qyizo9 | /r/LocalLLaMA/comments/1qyizo9/best_lightweight_local_tts_model/ | false | false | self | 11 | null |
[Showcase] MCP-powered Autonomous AI Research Engineer (Claude Desktop, RAG, Code Execution) | 1 | Hey r/LocalLLaMA,
I’ve been working on an MCP-powered “AI Research Engineer” and wanted to share it here for feedback and ideas.
GitHub: [https://github.com/prabureddy/ai-research-agent-mcp](https://github.com/prabureddy/ai-research-agent-mcp)
What it does
You give it a single high-level task like:
“Compare elect... | 2026-02-07T16:57:03 | https://www.reddit.com/r/LocalLLaMA/comments/1qyixq0/showcase_mcppowered_autonomous_ai_research/ | Kooky-Second2410 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyixq0 | false | null | t3_1qyixq0 | /r/LocalLLaMA/comments/1qyixq0/showcase_mcppowered_autonomous_ai_research/ | false | false | 1 | null | |
QAT + LoRa giving me better results that QLora? | 7 | Playing with some models, and when fine tuning them, and measuring benchmarks, QAT + LoRa (so doing QAT but with adapters), seems to be working much better for me than some other strategies. Researching it a bit, I see that's not a standard method compared to full QAT. But full QAT is too slow for me, do you think spen... | 2026-02-07T16:54:25 | https://www.reddit.com/r/LocalLLaMA/comments/1qyivbk/qat_lora_giving_me_better_results_that_qlora/ | OperationHaunting687 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyivbk | false | null | t3_1qyivbk | /r/LocalLLaMA/comments/1qyivbk/qat_lora_giving_me_better_results_that_qlora/ | false | false | self | 7 | null |
Honest question | 0 | What is the obsession with tok/sec? I can’t even read faster than 10-18 t/s anyway. I’m not a serious developer, I just do it in my spare time and anytime I mention that I run vulkan everyone and their mother comes in and lectures me to run ROCm. I mean normally I would but ROCm doesn’t support the secondary card I use... | 2026-02-07T16:35:59 | https://www.reddit.com/r/LocalLLaMA/comments/1qyiejm/honest_question/ | Savantskie1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyiejm | false | null | t3_1qyiejm | /r/LocalLLaMA/comments/1qyiejm/honest_question/ | false | false | self | 0 | null |
First-time project: How to implement extractive or abstractive summarization from scratch in Google Colab ? | 1 | I’m planning a project on summarization (either extractive or abstractive) in Google Colab. My teacher mentioned I could use deep learning and assign weights, but I’m not sure how the workflow should go, especially as a beginner.
I previously asked ChatGPT, and it suggested using a pre-trained summarization model and f... | 2026-02-07T16:22:22 | https://www.reddit.com/r/LocalLLaMA/comments/1qyi1us/firsttime_project_how_to_implement_extractive_or/ | potterhead2_0 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyi1us | false | null | t3_1qyi1us | /r/LocalLLaMA/comments/1qyi1us/firsttime_project_how_to_implement_extractive_or/ | false | false | self | 1 | null |
Built comprehensive Grafana monitoring for my LLM home server | 20 | I wanted better visibility into my LLMs running on llama-server, particularly since it tends to crash silently during model loading when allocation failures occur. Instead of manually checking logs and CLI each time, I built this dashboard.
All components run in docker containers:
- grafana
- prometheus
- dcgm-expor... | 2026-02-07T16:09:27 | https://www.reddit.com/gallery/1qyhppc | pfn0 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qyhppc | false | null | t3_1qyhppc | /r/LocalLLaMA/comments/1qyhppc/built_comprehensive_grafana_monitoring_for_my_llm/ | false | false | 20 | null | |
I want to learn how to create LLM models, but I don't know how | 1 | [removed] | 2026-02-07T16:05:16 | https://www.reddit.com/r/LocalLLaMA/comments/1qyhlrk/i_want_to_learn_how_to_create_llm_models_but_i/ | Tasty-Ring-2933 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyhlrk | false | null | t3_1qyhlrk | /r/LocalLLaMA/comments/1qyhlrk/i_want_to_learn_how_to_create_llm_models_but_i/ | false | false | self | 1 | null |
I've tried to simplify the GGUF Conversion | 1 | I was recommended to also share it here since might get more contribution, coming from ComfyUI repo.
In the last couple of months, I've been doing a lot of GGUF conversions, so I started to think on a way of automatize this and also to be an helper do newbies or even expert into this field, so I've created the followi... | 2026-02-07T15:50:17 | https://www.reddit.com/r/LocalLLaMA/comments/1qyh7pw/ive_tried_to_simplify_the_gguf_conversion/ | BigDannyPt | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyh7pw | false | null | t3_1qyh7pw | /r/LocalLLaMA/comments/1qyh7pw/ive_tried_to_simplify_the_gguf_conversion/ | false | false | 1 | null | |
OpenClaw has no open-source runtime defense. I'm a farmer, not a developer — but after 12 hours with multiple AIs, I built one. Here's how. | 0 | I grow garlic in South Korea. I don't write code. But I've been obsessed with AI tools for about 2 years, using Claude, GPT, Gemini, Grok, and DeepSeek daily.
When OpenClaw exploded, the security reports started piling up. I got curious and fell down a rabbit hole. 12 hours later, I had something I didn't expect.
... | 2026-02-07T15:37:43 | https://www.reddit.com/r/LocalLLaMA/comments/1qygweh/openclaw_has_no_opensource_runtime_defense_im_a/ | amadale | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qygweh | false | null | t3_1qygweh | /r/LocalLLaMA/comments/1qygweh/openclaw_has_no_opensource_runtime_defense_im_a/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'BfjyCn6CzN8PQQImI976uTwVuuLCP3_lcIwslOoXhTg', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/BfjyCn6CzN8PQQImI976uTwVuuLCP3_lcIwslOoXhTg.png?width=108&crop=smart&auto=webp&s=210969840104fefe5a740c14a049ba6ae9f4da1a', 'width': 108}, {'height': 113, 'url': 'h... |
I built a self-hosted agent engine where local models (Ollama) actually do useful work; scheduled tasks, tool calling, cost tracking. Not just chat. | 1 | [deleted] | 2026-02-07T15:31:39 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1qygqwu | false | null | t3_1qygqwu | /r/LocalLLaMA/comments/1qygqwu/i_built_a_selfhosted_agent_engine_where_local/ | false | false | default | 1 | null | ||
The distilled models | 3 | I noticed a new wave of "model-distill-model" on HuggingFace lately and.. it's making models less intelligent.
those distills are using average fine-tuning without specific alignment and doesn't actually care for the model learning actually reasoning or just outputting a CoT.
those are as low as 250 samples and even ... | 2026-02-07T15:22:36 | https://www.reddit.com/r/LocalLLaMA/comments/1qygin3/the_distilled_models/ | perfect-finetune | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qygin3 | false | null | t3_1qygin3 | /r/LocalLLaMA/comments/1qygin3/the_distilled_models/ | false | false | self | 3 | null |
What are possible use cases for going full BF16? | 11 | I was wondering when it would make sense to use the BF16 version of certain (smaller!) LLMs.
What might be use cases where BF16 really generates additional value?
Are those mainly coding-related or, on the contrary, do they best cover fields not related to coding, I'd be most interested in multilingual (comprehension... | 2026-02-07T15:14:02 | https://www.reddit.com/r/LocalLLaMA/comments/1qygaup/what_are_possible_use_cases_for_going_full_bf16/ | phwlarxoc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qygaup | false | null | t3_1qygaup | /r/LocalLLaMA/comments/1qygaup/what_are_possible_use_cases_for_going_full_bf16/ | false | false | self | 11 | null |
I tested 11 small LLMs on tool-calling judgment — on CPU, no GPU. | 160 | Friday night experiment that got out of hand. I wanted to know: how small can a model be and still reliably do tool-calling on a laptop CPU?
So I benchmarked 11 models (0.5B to 3.8B) across 12 prompts. No GPU, no cloud API. Just Ollama and bitnet.cpp.
**The models:** Qwen 2.5 (0.5B, 1.5B, 3B), LLaMA 3.2:3B, SmolLM2:1... | 2026-02-07T15:03:14 | https://www.reddit.com/r/LocalLLaMA/comments/1qyg10z/i_tested_11_small_llms_on_toolcalling_judgment_on/ | MikeNonect | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyg10z | false | null | t3_1qyg10z | /r/LocalLLaMA/comments/1qyg10z/i_tested_11_small_llms_on_toolcalling_judgment_on/ | false | false | self | 160 | {'enabled': False, 'images': [{'id': 'S6ynwfNX3B99bJXi_3wt7vrJrqioXZ32PUIaOluHI4I', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/S6ynwfNX3B99bJXi_3wt7vrJrqioXZ32PUIaOluHI4I.png?width=108&crop=smart&auto=webp&s=dbcc15597416da8298a252ff1681c693a8313f7c', 'width': 108}, {'height': 108, 'url': 'h... |
Any tips for getting nemotron nano 3 30b on dual 3090 to run on vllm? | 2 | I'm trying to get nemotron nano 3 30b to run with vllm on my dual 3090 machine. (with llama.cpp it runs...)
it seems I cannot get any quant to work (nvfp4, and fp8 doesn't seem to work on 3090 :( ) I tried the awq and gptq quants that are available but cannot seem to get them to work. the awq quant also already error... | 2026-02-07T15:00:48 | https://www.reddit.com/r/LocalLLaMA/comments/1qyfyot/any_tips_for_getting_nemotron_nano_3_30b_on_dual/ | meganoob1337 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyfyot | false | null | t3_1qyfyot | /r/LocalLLaMA/comments/1qyfyot/any_tips_for_getting_nemotron_nano_3_30b_on_dual/ | false | false | self | 2 | null |
[LEAKED] Kimi OK computer source code, skills, prompts, and tools (+docs, slides, sheets, web agents) | 0 | Update to my [previous post.](https://www.reddit.com/r/LocalLLaMA/comments/1qoml1n/leaked_kimi_k25s_full_system_prompt_tools/) Went back and extracted everything.
6 system prompts (Base Chat, OK Computer, Docs, Sheets, Slides, Websites), 38 tool schemas, 4 full skill folders (DOCX, XLSX, PDF, WebApp), runtime source c... | 2026-02-07T14:59:25 | https://github.com/dnnyngyen/kimi-agent-internals | Pretty_Mountain2714 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1qyfxce | false | null | t3_1qyfxce | /r/LocalLLaMA/comments/1qyfxce/leaked_kimi_ok_computer_source_code_skills/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'j5iistP08EBB74zfozAnAieExZwITlbaHs8rP2vZTqM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/j5iistP08EBB74zfozAnAieExZwITlbaHs8rP2vZTqM.png?width=108&crop=smart&auto=webp&s=3a9bdc9002fe30cd92faa7d6031fbd497671bcdf', 'width': 108}, {'height': 108, 'url': 'h... | |
Not tech savy but with a budget - "plug and play" local LLM | 1 | Hi,
I'm self-employed in a heavy text-based work domain. I want to run a local LLM to help with text production, but I need high precision and reliability (strictly follow specific writing rules, cite only real scientific sources, don't make up papers and DOIs), understanding highly complex arguments and ambivalent d... | 2026-02-07T14:57:08 | https://www.reddit.com/r/LocalLLaMA/comments/1qyfvaq/not_tech_savy_but_with_a_budget_plug_and_play/ | usrnamechecksoutx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyfvaq | false | null | t3_1qyfvaq | /r/LocalLLaMA/comments/1qyfvaq/not_tech_savy_but_with_a_budget_plug_and_play/ | false | false | self | 1 | null |
I have a problem with LM Studio | 1 | Hi, I downloaded the LM Studio app today, and when I tried to use the model I downloaded, I kept getting this error:
Failed to load the model
Attempt to pull a snapshot of system resources failed. Error: ‘Cannot read properties of undefined (reading pullReport)’
Does anyone know how to fix this?
| 2026-02-07T14:42:19 | https://www.reddit.com/r/LocalLLaMA/comments/1qyfibm/i_have_a_problem_with_lm_studio/ | Organic_Lecture1666 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyfibm | false | null | t3_1qyfibm | /r/LocalLLaMA/comments/1qyfibm/i_have_a_problem_with_lm_studio/ | false | false | self | 1 | null |
FYLs-G2P: A 1.8M Parameter G2P Engine with Context Awareness and OOV Phonics (That Can Be Deployed on Almost Any Device) | 0 | # [https://github.com/odorediamanka600-source/FYLs-G2P](https://github.com/odorediamanka600-source/FYLs-G2P)
# ⚡ Introduction
[](https://github.com/odorediamanka600-source/FYLs-G2P#-introduction)
Most G2P (Grapheme-to-Phoneme) solutions are either massive end-to-end models that hallucinate, or simple dictionary look... | 2026-02-07T14:41:23 | https://www.reddit.com/r/LocalLLaMA/comments/1qyfhik/fylsg2p_a_18m_parameter_g2p_engine_with_context/ | Internal_Answer_6866 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyfhik | false | null | t3_1qyfhik | /r/LocalLLaMA/comments/1qyfhik/fylsg2p_a_18m_parameter_g2p_engine_with_context/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'k62JvmBkuqhRaJftWM-qcG-b90Q6awqGhVW7gjRyy6s', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/k62JvmBkuqhRaJftWM-qcG-b90Q6awqGhVW7gjRyy6s.png?width=108&crop=smart&auto=webp&s=adec7ff99756594f15a7b157f6a06db2185d85d0', 'width': 108}, {'height': 108, 'url': 'h... |
Built an orchestration layer for running multiple Claude/LLM agents in parallel - 100% local, your API keys | 0 | Hey r/LocalLLaMA,
I've been lurking here for a while and finally have something to share that I think fits this community's values.
The problem:
I use Claude Code daily, but I kept hitting the same wall — I want multiple agents working on different parts of my codebase simultaneously, but I end up being the "human m... | 2026-02-07T14:09:10 | https://www.reddit.com/r/LocalLLaMA/comments/1qyeq5a/built_an_orchestration_layer_for_running_multiple/ | PinCapable9635 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyeq5a | false | null | t3_1qyeq5a | /r/LocalLLaMA/comments/1qyeq5a/built_an_orchestration_layer_for_running_multiple/ | false | false | self | 0 | null |
Built an orchestration layer for running multiple Claude/LLM agents in parallel - 100% local, your API keys | 1 | Hey ,
I've been lurking here for a while and finally have something to share that I think fits this community's values.
The problem:
I use Claude Code daily, but I kept hitting the same wall — I want multiple agents working on different parts of my codebase simultaneously, but I end up being t... | 2026-02-07T14:06:07 | https://www.reddit.com/r/LocalLLaMA/comments/1qyenlw/built_an_orchestration_layer_for_running_multiple/ | PinCapable9635 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyenlw | false | null | t3_1qyenlw | /r/LocalLLaMA/comments/1qyenlw/built_an_orchestration_layer_for_running_multiple/ | false | false | self | 1 | null |
Running LLMs in-browser via WebGPU, Transformers.js, and Chrome's Prompt API—no Ollama, no server | 1 | Been experimenting with browser-based inference and wanted to share what I've learned packaging it into a usable Chrome extension.
Three backends working together:
* **WebLLM (MLC)**: Llama 3.2, DeepSeek-R1, Qwen3, Mistral, Gemma, Phi, SmolLM2, Hermes 3
* **Transformers.js**: HuggingFace models via ONNX Runtime
* **B... | 2026-02-07T14:04:45 | https://www.reddit.com/r/LocalLLaMA/comments/1qyemhf/running_llms_inbrowser_via_webgpu_transformersjs/ | psgganesh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyemhf | false | null | t3_1qyemhf | /r/LocalLLaMA/comments/1qyemhf/running_llms_inbrowser_via_webgpu_transformersjs/ | false | false | self | 1 | null |
The M5 max and possibly the m5 ultra macs are coming soon! | 34 | Mac os 26.3 should be coming out next week since the rc version is already out . They might release the m5 max with it since the os leak has the m5 max and ultra codenames in it. | 2026-02-07T14:01:01 | https://www.reddit.com/r/LocalLLaMA/comments/1qyeje2/the_m5_max_and_possibly_the_m5_ultra_macs_are/ | power97992 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyeje2 | false | null | t3_1qyeje2 | /r/LocalLLaMA/comments/1qyeje2/the_m5_max_and_possibly_the_m5_ultra_macs_are/ | false | false | self | 34 | null |
FameForecast TextView – Real-time local Whisper transcription for Twitch streams (audio processed entirely on your PC) | 0 | Hey everyone,
I built a free, open-source Windows desktop app that captures Twitch stream audio locally and transcribes it in real-time using Whisper models running on your machine.
Key features
• Local transcription – audio never leaves your PC
• Live captions + searchable persistent text log
• Uses fa... | 2026-02-07T13:47:34 | https://www.reddit.com/r/LocalLLaMA/comments/1qye8gs/fameforecast_textview_realtime_local_whisper/ | FameForecast | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qye8gs | false | null | t3_1qye8gs | /r/LocalLLaMA/comments/1qye8gs/fameforecast_textview_realtime_local_whisper/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'hane-Zu_rx4NGrkAo0KWplL-TbYAjRd_xK-fIVHepzQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/hane-Zu_rx4NGrkAo0KWplL-TbYAjRd_xK-fIVHepzQ.png?width=108&crop=smart&auto=webp&s=08a176f678c64bb2c4004d2a4b1322b90ba5364e', 'width': 108}, {'height': 108, 'url': 'h... |
Successfully built an Autonomous Research Agent to handle 10k PDFs locally (32GB RAM / AnythingLLM) | 66 | Wanted to share a quick win. I’ve been experimenting with Agentic RAG to handle a massive local dataset (10,000+ PDFs).
Most standard RAG setups were failing or hallucinating at this scale, so I moved to an **Autonomous Agent** workflow using AnythingLLM and Llama 3.2. The agent now performs recursive searches and cro... | 2026-02-07T13:33:36 | https://www.reddit.com/r/LocalLLaMA/comments/1qydx7z/successfully_built_an_autonomous_research_agent/ | NGU-FREEFIRE | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qydx7z | false | null | t3_1qydx7z | /r/LocalLLaMA/comments/1qydx7z/successfully_built_an_autonomous_research_agent/ | false | false | self | 66 | null |
DoomsdayOS running on my Thinkpad T14s live from a USB stick! (all-in-one ISO: LLMs, Wikipedia, Runtime, etc...) | 30 | I am ready for the apocalypse.
Repo here: [https://github.com/cartesia-one/doomsday-os](https://github.com/cartesia-one/doomsday-os) | 2026-02-07T13:32:57 | https://v.redd.it/lhz2yavkm2ig1 | poppear | /r/LocalLLaMA/comments/1qydwox/doomsdayos_running_on_my_thinkpad_t14s_live_from/ | 1970-01-01T00:00:00 | 0 | {} | 1qydwox | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/lhz2yavkm2ig1/DASHPlaylist.mpd?a=1773192784%2COTZkYWUyY2NiMWJlYTRhMmY1MmYzMTU5ZjdkMDFiMmM2ZmI1MTgzODI4MGIxYmZhOGE4N2E4ZWE4YTZlYjlmZA%3D%3D&v=1&f=sd', 'duration': 55, 'fallback_url': 'https://v.redd.it/lhz2yavkm2ig1/CMAF_1080.mp4?source=fallback', 'h... | t3_1qydwox | /r/LocalLLaMA/comments/1qydwox/doomsdayos_running_on_my_thinkpad_t14s_live_from/ | false | false | 30 | {'enabled': False, 'images': [{'id': 'amhoMTMxeGttMmlnMX8NGHmEIKR1Shq8PrhwLMOPZOE4F_KOxFoLbBMbU6CW', 'resolutions': [{'height': 192, 'url': 'https://external-preview.redd.it/amhoMTMxeGttMmlnMX8NGHmEIKR1Shq8PrhwLMOPZOE4F_KOxFoLbBMbU6CW.png?width=108&crop=smart&format=pjpg&auto=webp&s=b6147bb4b00c67069dacc4387567230aa5cd... | |
Potential new Qwen and ByteDance Seed models are being tested on the Arena. The “Karp-001” and “Karp-002” models claim to be Qwen-3.5 models. The “Pisces-llm-0206a” and “Pisces-llm-0206b” models claim to be ByteDance models. | 134 | 2026-02-07T13:19:21 | Nunki08 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qydlwi | false | null | t3_1qydlwi | /r/LocalLLaMA/comments/1qydlwi/potential_new_qwen_and_bytedance_seed_models_are/ | false | false | 134 | {'enabled': True, 'images': [{'id': 'cKIyQoMFtYXnbxzE3D8cVC2oSZCpUZGTTTghGoiNsHc', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/rtrygqo1p2ig1.jpeg?width=108&crop=smart&auto=webp&s=910ab7b45bb3403c41244abf1fc4edcef063fe58', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/rtrygqo1p2ig1.jp... | |||
[Open Source] I built a free tool to visualize neural network architectures — looking for contributors and testers | 0 | When I started learning deep learning, one thing that frustrated me was not being able to "see" my models. I'd write layers in code but couldn't visualize how data actually flowed through them.
So I built modelviz-ai — pass it a PyTorch or Keras model, get back a clean diagram or an interactive 3D visualization.
**Th... | 2026-02-07T12:57:34 | https://www.reddit.com/r/LocalLLaMA/comments/1qyd4we/open_source_i_built_a_free_tool_to_visualize/ | shreyanshjain05 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyd4we | false | null | t3_1qyd4we | /r/LocalLLaMA/comments/1qyd4we/open_source_i_built_a_free_tool_to_visualize/ | false | false | self | 0 | null |
Soemene extend the knowledge cutoff of a model like Qwen3 4B 2507 or DeepSeek R1 8B to jan 1 2026 | 1 | [removed] | 2026-02-07T12:57:07 | https://www.reddit.com/r/LocalLLaMA/comments/1qyd4kj/soemene_extend_the_knowledge_cutoff_of_a_model/ | opensourceAIlover | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyd4kj | false | null | t3_1qyd4kj | /r/LocalLLaMA/comments/1qyd4kj/soemene_extend_the_knowledge_cutoff_of_a_model/ | false | false | self | 1 | null |
How to add context to all chats in LMStudio? | 2 | I'm not a very techy person, which is why I'm using LMStudio. I also don't have the best computer, I'm using an RTX 2070 for my GPU. I'm trying to make it so that my AI models will have a set database of context they can always draw from of various pieces of fiction, to make it easier to make fanfiction with it. My hop... | 2026-02-07T12:35:37 | https://www.reddit.com/r/LocalLLaMA/comments/1qycpax/how_to_add_context_to_all_chats_in_lmstudio/ | Pure_Line | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qycpax | false | null | t3_1qycpax | /r/LocalLLaMA/comments/1qycpax/how_to_add_context_to_all_chats_in_lmstudio/ | false | false | self | 2 | null |
DeepSeek-V2-Lite vs GPT-OSS-20B on my 2018 potato i3-8145U + UHD 620, OpenVINO Comparison. | 42 | Same potato, new test. If you saw my last post, you will catch this up. I run LLMs on a **2018 HP ProBook 8th Gen i3 with no Nvidia, no dedicated GPU**, just hope and an OpenVINO backend. This time I wanted to see how two MoE models compare head to head on the exact same hardware, same questions, same settings, same ev... | 2026-02-07T12:32:28 | https://www.reddit.com/gallery/1qycn5s | RelativeOperation483 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1qycn5s | false | null | t3_1qycn5s | /r/LocalLLaMA/comments/1qycn5s/deepseekv2lite_vs_gptoss20b_on_my_2018_potato/ | false | false | 42 | null | |
I spent days building a 100% private AI assistant that runs on my laptop. Here's exactly how I did it. | 0 | No cloud. No API limits. No data leaving my machine.
I got tired of ChatGPT retaining everything I typed and hitting rate limits at the worst times. So I built something better:
• Runs 24/7 locally (even on a $10/mo VPS)
• Remembers everything forever (semantic memory)
• Talks to me on Telegram/WhatsApp/Discord... | 2026-02-07T12:26:12 | https://www.reddit.com/r/LocalLLaMA/comments/1qycium/i_spent_days_building_a_100_private_ai_assistant/ | Remarkable-Clue-9691 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qycium | false | null | t3_1qycium | /r/LocalLLaMA/comments/1qycium/i_spent_days_building_a_100_private_ai_assistant/ | false | false | self | 0 | null |
Best tool use 30B? | 8 | I'm developing an LLM desktop app with built in tools ( web search, file access, web read) and my favorite model, ERNIE 21B is not so great at tool calling, getting it to read a file or the web is like pulling teeth. It will search the web and write files no issue, but likes to hallucinate contents instead of reading. ... | 2026-02-07T12:00:38 | https://www.reddit.com/r/LocalLLaMA/comments/1qyc1je/best_tool_use_30b/ | thebadslime | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyc1je | false | null | t3_1qyc1je | /r/LocalLLaMA/comments/1qyc1je/best_tool_use_30b/ | false | false | self | 8 | null |
An argument for open weights from copyrighted works | 0 | Has anyone else had this growing feeling that private models are fundamentally unjust, unethical, immoral?
AI models are a blank architecture until they are "actualized" by our data. The weights emerge from the training set.
In simple logic terms, if Data A leads to Weights B, and A is "legally restricted" in any way... | 2026-02-07T11:45:30 | https://www.reddit.com/r/LocalLLaMA/comments/1qybrrq/an_argument_for_open_weights_from_copyrighted/ | Luke2642 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qybrrq | false | null | t3_1qybrrq | /r/LocalLLaMA/comments/1qybrrq/an_argument_for_open_weights_from_copyrighted/ | false | false | self | 0 | null |
Upgrade time: RX 7900 XTX + RX 6800 XT vs 2× RTX 3090 for Gaming + Local AI on Linux | 0 | Hi all,
I'm looking for some advice from people with experience running local models and gaming on Linux.
**Current system:**
* Ryzen 9 5900X
* 64 GB DDR4 3600
* RX 6800 XT (16 GB)
* Ubuntu
I use the machine for a mix of:
* Gaming
* Running local AI models (mostly LLMs, some diffusion)
* Learning more about traini... | 2026-02-07T11:37:04 | https://www.reddit.com/r/LocalLLaMA/comments/1qybmcm/upgrade_time_rx_7900_xtx_rx_6800_xt_vs_2_rtx_3090/ | BigYoSpeck | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qybmcm | false | null | t3_1qybmcm | /r/LocalLLaMA/comments/1qybmcm/upgrade_time_rx_7900_xtx_rx_6800_xt_vs_2_rtx_3090/ | false | false | self | 0 | null |
Test suite for local models? | 3 | It's kind of time consuming to test everything and figure out the best quants. Has anyone already developed something for local testing that I can just point at LM Studio and run it against all the models I want and come back at the end of the day?
Obviously I am not the first person with this problem so figured I'd a... | 2026-02-07T11:36:11 | https://www.reddit.com/r/LocalLLaMA/comments/1qyblrd/test_suite_for_local_models/ | danihend | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyblrd | false | null | t3_1qyblrd | /r/LocalLLaMA/comments/1qyblrd/test_suite_for_local_models/ | false | false | self | 3 | null |
If you know RAG, LangChain, MCP, FastAPI — what simple, non-hype GenAI projects do people actually pay for? | 0 | I’m an intern working with GenAI / LLM systems, not model training.
**My current skill set:**
1) RAG (basic to intermediate)
2) LangChain
3) MCP / tool calling
4) FastAPI
5) General ML/DL knowledge (theoretical, not research-level)
I’m not trying to build a startup or advanced product.
**I’m trying to build sma... | 2026-02-07T11:26:49 | https://www.reddit.com/r/LocalLLaMA/comments/1qybfvx/if_you_know_rag_langchain_mcp_fastapi_what_simple/ | Specialist_Bit3712 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qybfvx | false | null | t3_1qybfvx | /r/LocalLLaMA/comments/1qybfvx/if_you_know_rag_langchain_mcp_fastapi_what_simple/ | false | false | self | 0 | null |
Did Google just kill cost-effective LLM with Gemini? | 65 | Feels like Google is **reducing quality while increasing pricing** with Gemini Flash.
I used Gemini 2.0 Flash for OCR / data extraction / summarization (no thinking). It was cheap and accurate. Now with Gemini 2.5/3, output pricing jumped \~6×, the cheaper non-thinking option disappeared, **and accuracy didn’t improve... | 2026-02-07T11:11:24 | https://www.reddit.com/r/LocalLLaMA/comments/1qyb6a4/did_google_just_kill_costeffective_llm_with_gemini/ | _sekabank | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyb6a4 | false | null | t3_1qyb6a4 | /r/LocalLLaMA/comments/1qyb6a4/did_google_just_kill_costeffective_llm_with_gemini/ | false | false | self | 65 | null |
Finally! A local RAG that runs on my old office laptop (TinyLlama + Mistral). No GPU, just a simple .bat file. | 1 | [removed] | 2026-02-07T11:09:36 | https://v.redd.it/laoq6gw322ig1 | Fearless-Image4193 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1qyb558 | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/laoq6gw322ig1/DASHPlaylist.mpd?a=1773054591%2CODhiNjRmMjNhODQ3NzBlMjNlNzU3YmNhNDcxZmY4YTU1NTMwMGM2ZjMzZTdmYmJhYTkwMjcyZDk0ZTE0YmEwZQ%3D%3D&v=1&f=sd', 'duration': 67, 'fallback_url': 'https://v.redd.it/laoq6gw322ig1/CMAF_720.mp4?source=fallback', 'ha... | t3_1qyb558 | /r/LocalLLaMA/comments/1qyb558/finally_a_local_rag_that_runs_on_my_old_office/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'a3E5cGkyejMyMmlnMUecLBEnuulsyTlQNb4O2iY02tKVij0KdNInGNXj-wvI', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/a3E5cGkyejMyMmlnMUecLBEnuulsyTlQNb4O2iY02tKVij0KdNInGNXj-wvI.png?width=108&crop=smart&format=pjpg&auto=webp&s=c9883ba5ffe50523033e3f62ccb80f9791d35... | |
Honest review: I have tried the lightweight clawd bot and here is the video to showcase capabilities and limitations. | 0 | https://reddit.com/link/1qyauih/video/19hidjzty1ig1/player
**My Honest Take**
So I've been using this on my laptop (just 8GB RAM) and honestly? It runs pretty smooth. No lag or anything.
I did try hooking it up to this search thing called Serper, but yeah... didn't really work. Not sure why. Maybe you guys can get t... | 2026-02-07T10:51:50 | https://www.reddit.com/r/LocalLLaMA/comments/1qyauih/honest_review_i_have_tried_the_lightweight_clawd/ | Mysterious-Form-3681 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyauih | false | null | t3_1qyauih | /r/LocalLLaMA/comments/1qyauih/honest_review_i_have_tried_the_lightweight_clawd/ | false | false | 0 | null | |
Working on my own engine | 8 | So I have been thinking of a way to load bigger models on my pc/raspberry pi 5, so I just want to share how it is going. It all started with generating 1 token every 60 sec on a 7B model, so to compare I loaded the model into my CPU on LM studio and I do get 1.91 s/token where as my engine does 0.2 s/token I am still o... | 2026-02-07T10:46:19 | https://www.reddit.com/r/LocalLLaMA/comments/1qyar60/working_on_my_own_engine/ | Last-Shake-9874 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1qyar60 | false | null | t3_1qyar60 | /r/LocalLLaMA/comments/1qyar60/working_on_my_own_engine/ | false | false | 8 | null |
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