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Koboldcpp problem on Windows. | 3 | Hi. I was using LM Studio with my RTX 4080. I added a second graphics card, an RTX 5060. LM Studio uses the 5060 simply as memory expansion, placing no load on it, despite the settings being set to use both cards (I tried split and priority options). I want to try llama.cpp. I didn't understand how to run this program,... | 2025-11-15T07:59:13 | https://www.reddit.com/r/LocalLLaMA/comments/1oxm1xv/koboldcpp_problem_on_windows/ | Pretend-Pumpkin7506 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxm1xv | false | null | t3_1oxm1xv | /r/LocalLLaMA/comments/1oxm1xv/koboldcpp_problem_on_windows/ | false | false | self | 3 | null |
How much better can A.I get via software updates before it just begins to rely on more VRAM? | 0 | I dont think anyone foresees VRAM magically coming down in price where like in 10 years, you can get 2tb of VRAM for $399 etc. Moore's law is dead, so dont expect futurism to save the situation. With that said, when they release Claude 4, then Claude 4.2, then Claude 5, then Claude 8, how much of that is them just tack... | 2025-11-15T07:57:30 | https://www.reddit.com/r/LocalLLaMA/comments/1oxm0z8/how_much_better_can_ai_get_via_software_updates/ | devshore | self.LocalLLaMA | 2025-11-15T08:00:41 | 0 | {} | 1oxm0z8 | false | null | t3_1oxm0z8 | /r/LocalLLaMA/comments/1oxm0z8/how_much_better_can_ai_get_via_software_updates/ | false | false | self | 0 | null |
That is possible? | 0 | How am i using 21gb of ram on a 16gb mac 😭 | 2025-11-15T07:32:50 | Immediate_Lock7595 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oxlmur | false | null | t3_1oxlmur | /r/LocalLLaMA/comments/1oxlmur/that_is_possible/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'bNYB_1sT6JHau-ttlKxu2-sBy6ONNsAKvEbQJhA83eY', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/ac32tbzyid1g1.jpeg?width=108&crop=smart&auto=webp&s=9e571a9518fd698642ec80567494d1f2ed07696a', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/ac32tbzyid1g1.jp... | ||
New AI Generated copypasta just dropped | 0 | [deleted] | 2025-11-15T07:01:57 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1oxl4tj | false | null | t3_1oxl4tj | /r/LocalLLaMA/comments/1oxl4tj/new_ai_generated_copypasta_just_dropped/ | false | false | default | 0 | null | ||
What makes closed source models good? Data, Architecture, Size? | 81 | I know Kimi K2, Minimax M2 and Deepseek R1 are strong, but I asked myself: what makes the closed source models like Sonnet 4.5 or GPT-5 so strong? Do they have better training data? Or are their models even bigger, e.g. 2T, or do their models have some really good secret architecture (what I assume for Gemini 2.5 with ... | 2025-11-15T07:00:06 | https://www.reddit.com/r/LocalLLaMA/comments/1oxl3ju/what_makes_closed_source_models_good_data/ | Bitter-College8786 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxl3ju | false | null | t3_1oxl3ju | /r/LocalLLaMA/comments/1oxl3ju/what_makes_closed_source_models_good_data/ | false | false | self | 81 | null |
Kimi K2 Thinking Benchmark? | 1 | [deleted] | 2025-11-15T05:53:43 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1oxjyd9 | false | null | t3_1oxjyd9 | /r/LocalLLaMA/comments/1oxjyd9/kimi_k2_thinking_benchmark/ | false | false | default | 1 | null | ||
ATLES Embedding: 0.834 Spearman (STS-B) — Truth Fleet v3.0 | 1 | [removed] | 2025-11-15T05:30:10 | https://www.reddit.com/r/LocalLLaMA/comments/1oxjjkz/atles_embedding_0834_spearman_stsb_truth_fleet_v30/ | Feeling-Champion2480 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxjjkz | false | null | t3_1oxjjkz | /r/LocalLLaMA/comments/1oxjjkz/atles_embedding_0834_spearman_stsb_truth_fleet_v30/ | true | false | spoiler | 1 | null |
Interesting to finally have some real param numbers on these bigger closed-source models (Grok). I listed a few other big models for reference. See source in text | 0 | [deleted] | 2025-11-15T05:15:04 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1oxj9rc | false | null | t3_1oxj9rc | /r/LocalLLaMA/comments/1oxj9rc/interesting_to_finally_have_some_real_param/ | false | false | default | 0 | null | ||
How do I find those 3AB like models? | 0 | Are those called mixture of experts?
Sorry for my ignorance but I couldn’t find any filter on hugging face to find those models that have less active parameters. | 2025-11-15T05:09:59 | https://www.reddit.com/r/LocalLLaMA/comments/1oxj6g1/how_do_i_find_those_3ab_like_models/ | NoFudge4700 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxj6g1 | false | null | t3_1oxj6g1 | /r/LocalLLaMA/comments/1oxj6g1/how_do_i_find_those_3ab_like_models/ | false | false | self | 0 | null |
I just realized 20 tokens per second is a decent speed in token generation. | 50 | If I can ever afford a mac studio with 512 unified memory, I will happily take it. I just want inference and even 20 tokens per second is not bad. At least I’ll be able to locally run models on it. | 2025-11-15T05:04:06 | https://www.reddit.com/r/LocalLLaMA/comments/1oxj2mq/i_just_realized_20_tokens_per_second_is_a_decent/ | NoFudge4700 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxj2mq | false | null | t3_1oxj2mq | /r/LocalLLaMA/comments/1oxj2mq/i_just_realized_20_tokens_per_second_is_a_decent/ | false | false | self | 50 | null |
Cerebras Reaped Minimax m2 Need Quants | 0 | Cerebras informed me in another post that he Reaped Minimax m2.
Can someone please Quantise it so we poor Gpu people can also use it? | 2025-11-15T05:03:50 | https://www.reddit.com/r/LocalLLaMA/comments/1oxj2gd/cerebras_reaped_minimax_m2_need_quants/ | lumos675 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxj2gd | false | null | t3_1oxj2gd | /r/LocalLLaMA/comments/1oxj2gd/cerebras_reaped_minimax_m2_need_quants/ | false | false | self | 0 | null |
Anthropic pushing again for regulation of open source models? | 1,931 | 2025-11-15T04:40:56 | MasterDragon_ | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oximzj | false | null | t3_1oximzj | /r/LocalLLaMA/comments/1oximzj/anthropic_pushing_again_for_regulation_of_open/ | false | false | 1,931 | {'enabled': True, 'images': [{'id': 'dweLmNZbiqC_SbGAvWS9DJEpSMhj0H8FCvSObqjunoI', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/623qojxaoc1g1.jpeg?width=108&crop=smart&auto=webp&s=749091cd2b89b5bd4383a16aec0f8d322566fd22', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/623qojxaoc1g1.j... | |||
Someone listed a DGX Station on FB marketplace | 1 | [deleted] | 2025-11-15T04:40:10 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1oximhb | false | null | t3_1oximhb | /r/LocalLLaMA/comments/1oximhb/someone_listed_a_dgx_station_on_fb_marketplace/ | false | false | default | 1 | null | ||
Performance loss of pairing a 5080 and a 3060 with the 3060 being stuck on PCIE 3 x4? | 2 | Title.
I’ve made some sketchy build choices and space compromises which has all resulted in me looking at running a 5080 on PCIE 5x16 and a 3060 over Oculink on PCIE 3x4, since I can snap up a refurbished 3060 for 160 dollars.
I know such a setup can work, but my main question is what kind of penalties will I en... | 2025-11-15T04:08:16 | https://www.reddit.com/r/LocalLLaMA/comments/1oxi10e/performance_loss_of_pairing_a_5080_and_a_3060/ | steve09089 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxi10e | false | null | t3_1oxi10e | /r/LocalLLaMA/comments/1oxi10e/performance_loss_of_pairing_a_5080_and_a_3060/ | false | false | self | 2 | null |
Kimi K2 Thinking 1bit just 0.22 tokens/s on 512GB RAM RTX 4090 EPYC 64 core machine | 6 | As per the [unsloth guide ](https://docs.unsloth.ai/models/kimi-k2-thinking-how-to-run-locally)it seems I should be expecting around an order of magnitude faster speeds with the UD-TQ1\_0 quant.
I wonder if there's anything simple I might be doing wrong.
This is how I'm running it:
**Build latest llama.cpp (15th Nov... | 2025-11-15T03:53:14 | https://www.reddit.com/r/LocalLLaMA/comments/1oxhqk5/kimi_k2_thinking_1bit_just_022_tokenss_on_512gb/ | eesahe | self.LocalLLaMA | 2025-11-15T04:40:00 | 0 | {} | 1oxhqk5 | false | null | t3_1oxhqk5 | /r/LocalLLaMA/comments/1oxhqk5/kimi_k2_thinking_1bit_just_022_tokenss_on_512gb/ | false | false | 6 | null | |
Why are there so much misinformation and lies around "open-source" models? | 0 | a) Performance: None of the frontier open-source models are anywhere near the frontier closed source models yet. This is evident to anyone who've used these models in a realistic setting that goes beyond one-shot textbook question answering. Most of these models are heavily benchmaxxed and generalize very poorly. Kimi ... | 2025-11-15T03:37:10 | https://www.reddit.com/r/LocalLLaMA/comments/1oxhf5e/why_are_there_so_much_misinformation_and_lies/ | Terrible-Priority-21 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxhf5e | false | null | t3_1oxhf5e | /r/LocalLLaMA/comments/1oxhf5e/why_are_there_so_much_misinformation_and_lies/ | false | false | self | 0 | null |
High Sierra Just Became the Poorest Man’s AI Rig-PyTorch 2 + CUDA 11.2 Shim in Oven. v1 Still Moggs Your Colab. | 0 | 2016 MBP → 70B @ 2.1 tok/s, SDXL @ 4.7 it/s.
no cloud. no M1. no rent.
v2 shim done. build compiling.
repo: [https://github.com/careunix/PyTorch-HighSierra-CUDA-Revival](https://github.com/careunix/PyTorch-HighSierra-CUDA-Revival)
use v1 or stay broke. | 2025-11-15T02:09:36 | https://www.reddit.com/r/LocalLLaMA/comments/1oxfm0m/high_sierra_just_became_the_poorest_mans_ai/ | Adept_Tip8375 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxfm0m | false | null | t3_1oxfm0m | /r/LocalLLaMA/comments/1oxfm0m/high_sierra_just_became_the_poorest_mans_ai/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'fldKwD0CK6heHFm_QrqkC0G2nZBvog3v77v6WMkenMk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/fldKwD0CK6heHFm_QrqkC0G2nZBvog3v77v6WMkenMk.png?width=108&crop=smart&auto=webp&s=2324ca1682fc6f5300b18153120e9fdb737d1831', 'width': 108}, {'height': 108, 'url': 'h... |
BranchBox: isolated dev environments for parallel agent runs | 8 | I’ve been running several local coding agents in parallel and kept hitting the same issue: everything was stepping on everything else. Ports collided, Docker networks overlapped, databases were overwritten, and devcontainer configs leaked across projects.
So I built BranchBox, an open-source tool that creates a fully ... | 2025-11-15T01:42:00 | https://www.reddit.com/r/LocalLLaMA/comments/1oxf132/branchbox_isolated_dev_environments_for_parallel/ | Quirky_Researcher | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxf132 | false | null | t3_1oxf132 | /r/LocalLLaMA/comments/1oxf132/branchbox_isolated_dev_environments_for_parallel/ | false | false | self | 8 | {'enabled': False, 'images': [{'id': 'O_7N5nJm8R_aoabDcO3iQrJ4F0HjKc_dfzThiXkE_KI', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/O_7N5nJm8R_aoabDcO3iQrJ4F0HjKc_dfzThiXkE_KI.png?width=108&crop=smart&auto=webp&s=0b189853af90cb2c86b7f037d6d67a25c0e857e2', 'width': 108}, {'height': 108, 'url': 'h... |
I benchmarked "vanilla" and REAP'd Qwen3-Coder models locally, do my results match your experience? | 23 | I've been curious about REAPs, and how they might compare to Unsloth Dynamic quants (my current go-to). So, I ran a few iterations of aider polyglot locally to get a sense of which gives the best bang-for-VRAM. Test setup and results below:
TL;DR: Statistically speaking, with my small sample size, I did not find a ben... | 2025-11-15T01:37:15 | https://www.reddit.com/r/LocalLLaMA/comments/1oxexii/i_benchmarked_vanilla_and_reapd_qwen3coder_models/ | MutantEggroll | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxexii | false | null | t3_1oxexii | /r/LocalLLaMA/comments/1oxexii/i_benchmarked_vanilla_and_reapd_qwen3coder_models/ | false | false | 23 | null | |
Premise: MoE models have exploitable locality in expert activation patterns, and LRU caching with profiling could cut VRAM requirements in half. | 51 | Recently doing some brainstorming - and a few back-of-the-page calculations, and came up with this. The premise is that with some profiling based on actual user workload, we should be able to determine expert activation patterns and locality for caching. TLDR; A "smart" MOE caching size could reduce VRAM needs by up ... | 2025-11-15T01:16:49 | https://www.reddit.com/r/LocalLLaMA/comments/1oxeif6/premise_moe_models_have_exploitable_locality_in/ | CodeSlave9000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxeif6 | false | null | t3_1oxeif6 | /r/LocalLLaMA/comments/1oxeif6/premise_moe_models_have_exploitable_locality_in/ | false | false | self | 51 | null |
Released a clean 7,074,970-file English Wikipedia dataset (JSON per article) — ideal for LLaMA pretraining/finetuning | 1 | [removed] | 2025-11-15T00:41:47 | https://www.reddit.com/r/LocalLLaMA/comments/1oxdqw9/released_a_clean_7074970file_english_wikipedia/ | Better_Muffin_6974 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxdqw9 | false | null | t3_1oxdqw9 | /r/LocalLLaMA/comments/1oxdqw9/released_a_clean_7074970file_english_wikipedia/ | false | false | self | 1 | null |
Best local model to learn from? | 17 | I'm currently trying to learn quantum physics, and it's been invaluable having a model to talk to to get my own personal understanding sorted out. However, this is a subject where the risk of hallucinations I can't catch is quite high, so I'm wondering if there are any models known for being particularly good in this a... | 2025-11-15T00:33:39 | https://www.reddit.com/r/LocalLLaMA/comments/1oxdkdt/best_local_model_to_learn_from/ | agreeduponspring | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxdkdt | false | null | t3_1oxdkdt | /r/LocalLLaMA/comments/1oxdkdt/best_local_model_to_learn_from/ | false | false | self | 17 | null |
The Historical Position of Large Language Models — Full Edition | 0 | I. Introduction: From Noise to Structure
In just a few years, large language models (LLMs) have shifted from research curiosities to global infrastructure. They write code, summarize papers, draft legal emails, generate ideas, and converse with millions of people every day. For many observers, this feels like standing ... | 2025-11-15T00:31:08 | https://www.reddit.com/r/LocalLLaMA/comments/1oxdiec/the_historical_position_of_large_language_models/ | Hefty_Document_9466 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxdiec | false | null | t3_1oxdiec | /r/LocalLLaMA/comments/1oxdiec/the_historical_position_of_large_language_models/ | false | false | self | 0 | null |
Slamming my head against the wall with Parakeet | 3 | Ive been trying to get this thing running locally on windows and cant seem to get it to work. I got whisper ai to work in minutes through Vibe.
But parakeet? Nothing close to being as easy. Been trying for over 3 hrs now. Is there an easy app I can install like Vibe or Ollama? | 2025-11-15T00:14:03 | https://www.reddit.com/r/LocalLLaMA/comments/1oxd3zo/slamming_my_head_against_the_wall_with_parakeet/ | PM_ME_ABSOLUTE_UNITZ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxd3zo | false | null | t3_1oxd3zo | /r/LocalLLaMA/comments/1oxd3zo/slamming_my_head_against_the_wall_with_parakeet/ | false | false | self | 3 | null |
Why isn't ollama using my dGPU? | 0 | When I start ollama in Fedora 42 with ``, I see `time=2025-11-14T16:08:43.727-08:00 level=INFO source=types.go:123 msg="inference compute" id=GPU-9b699b22-274c-9c1c-4a2a-94070ed6d923 library=cuda variant=v12 compute=8.6 driver=13.0 name="NVIDIA RTX A5000 Laptop GPU" total="15.6 GiB" available="15.4 GiB"` at the end of ... | 2025-11-15T00:12:23 | https://www.reddit.com/r/LocalLLaMA/comments/1oxd2me/why_isnt_ollama_using_my_dgpu/ | VegetableJudgment971 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxd2me | false | null | t3_1oxd2me | /r/LocalLLaMA/comments/1oxd2me/why_isnt_ollama_using_my_dgpu/ | false | false | self | 0 | null |
Cannot use LMStudio response API with JSON schema | 0 | i tried several models, but I didn’t get the right json output. Is there anyone got the same issue? It’s not tool call definition, just JSON schema. | 2025-11-14T23:39:58 | https://www.reddit.com/r/LocalLLaMA/comments/1oxccsh/cannot_use_lmstudio_response_api_with_json_schema/ | Technical_Pass_1858 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxccsh | false | null | t3_1oxccsh | /r/LocalLLaMA/comments/1oxccsh/cannot_use_lmstudio_response_api_with_json_schema/ | false | false | self | 0 | null |
I benchmarked kimi k2 thinking vs gpt-5 here are the actual numbers | 1 | [removed] | 2025-11-14T23:30:52 | https://www.reddit.com/r/LocalLLaMA/comments/1oxc5af/i_benchmarked_kimi_k2_thinking_vs_gpt5_here_are/ | Existing-Aside-4697 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxc5af | false | null | t3_1oxc5af | /r/LocalLLaMA/comments/1oxc5af/i_benchmarked_kimi_k2_thinking_vs_gpt5_here_are/ | false | false | self | 1 | null |
A non-linear, segment-aware LLMLingua compressor for LLM agents (GPU, cached, gradient-based) | 0 | ***Note: The following Text was structured using my AI so it is (partly) AI generated from my own extended input. You might see that as unacceptable short-cut. I accept that. For now... ;)***
***Find the code at the end. It is also made in cooperation (!) with AI.***
***Enjoy.***
I’ve been experimenting with a... | 2025-11-14T23:21:16 | https://www.reddit.com/r/LocalLLaMA/comments/1oxbxcg/a_nonlinear_segmentaware_llmlingua_compressor_for/ | dustbln | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxbxcg | false | null | t3_1oxbxcg | /r/LocalLLaMA/comments/1oxbxcg/a_nonlinear_segmentaware_llmlingua_compressor_for/ | false | false | self | 0 | null |
Trying to install CUDA to build llama.cpp & ran into issue; help needed | 0 | I'm following [these instructions](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/CUDA-FEDORA.md) to install CUDA such that I can build `llama.cpp` [using CUDA](https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md#cuda). I got to [this point](https://github.com/ggml-org/llama.cpp/blob/master/... | 2025-11-14T23:18:31 | https://www.reddit.com/r/LocalLLaMA/comments/1oxbv2g/trying_to_install_cuda_to_build_llamacpp_ran_into/ | VegetableJudgment971 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxbv2g | false | null | t3_1oxbv2g | /r/LocalLLaMA/comments/1oxbv2g/trying_to_install_cuda_to_build_llamacpp_ran_into/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'DJPqvteONpGwVVw6LzaG6b8vlDa2rv2hETCaqe0z57s', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/DJPqvteONpGwVVw6LzaG6b8vlDa2rv2hETCaqe0z57s.png?width=108&crop=smart&auto=webp&s=72aa5dcc1cd8dbddd3f1a103959106b666940069', 'width': 108}, {'height': 108, 'url': 'h... |
I created an app like ChatGPT desktop, but for SBCs. | 0 | This is my project for the Baidu ERNIE hackathon, it is targeted at a $300 SBC.
It will also run on PC, but only linux for now.
I developed it for a Radxa Orion o6, but it should work on any SBC with at least 8gb of ram.
ERNIE Desktop is comprised of 3 parts, LLamaCPP, a fastAPI server that provides search an... | 2025-11-14T23:09:59 | https://github.com/openconstruct/ERNIEDesktop | thebadslime | github.com | 1970-01-01T00:00:00 | 0 | {} | 1oxbnja | false | null | t3_1oxbnja | /r/LocalLLaMA/comments/1oxbnja/i_created_an_app_like_chatgpt_desktop_but_for_sbcs/ | false | false | default | 0 | {'enabled': False, 'images': [{'id': 'WSNg2ZCyNbqsIgDzQvnWVTOr06qnYQe5xgdxgpZeqt0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/WSNg2ZCyNbqsIgDzQvnWVTOr06qnYQe5xgdxgpZeqt0.png?width=108&crop=smart&auto=webp&s=2a383d57501be36fc1a69d64fa22b91b9b206aac', 'width': 108}, {'height': 108, 'url': 'h... |
Best model to generate unique voices? | 1 | I'm using GPT SoVITS to generate voice lines during prototyping stages, but I'm tired of constantly searching for new voices to clip.
Is there a model that can generate samples of unique voices which can be run locally on 8 GB VRAM? | 2025-11-14T23:03:27 | https://www.reddit.com/r/LocalLLaMA/comments/1oxbhnc/best_model_to_generate_unique_voices/ | StriderPulse599 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxbhnc | false | null | t3_1oxbhnc | /r/LocalLLaMA/comments/1oxbhnc/best_model_to_generate_unique_voices/ | false | false | self | 1 | null |
How to force a json schema output in ollama with openwebui? | 2 | I have a custom model using a knowledge file in openwebui using the /api/completions endpoint. The “answer” is correct, so nothing wrong with the thinking ability. The problem is that it ignores my system prompt instructions to A) ONLY output the json answer, with no surrounding text and B) to use my specific json fiel... | 2025-11-14T23:03:14 | https://www.reddit.com/r/LocalLLaMA/comments/1oxbhg7/how_to_force_a_json_schema_output_in_ollama_with/ | devshore | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxbhg7 | false | null | t3_1oxbhg7 | /r/LocalLLaMA/comments/1oxbhg7/how_to_force_a_json_schema_output_in_ollama_with/ | false | false | self | 2 | null |
New Chinese optical quantum chip allegedly 1,000x faster than Nvidia GPUs for processing AI workloads - firm reportedly producing 12,000 wafers per year | 313 | 2025-11-14T23:02:23 | https://www.tomshardware.com/tech-industry/quantum-computing/new-chinese-optical-quantum-chip-allegedly-1-000x-faster-than-nvidia-gpus-for-processing-ai-workloads-but-yields-are-low | entsnack | tomshardware.com | 1970-01-01T00:00:00 | 0 | {} | 1oxbgo2 | false | null | t3_1oxbgo2 | /r/LocalLLaMA/comments/1oxbgo2/new_chinese_optical_quantum_chip_allegedly_1000x/ | false | false | default | 313 | null | |
Local models handle tools way better when you give them a code sandbox instead of individual tools | 334 | 2025-11-14T22:54:49 | juanviera23 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oxb9zp | false | null | t3_1oxb9zp | /r/LocalLLaMA/comments/1oxb9zp/local_models_handle_tools_way_better_when_you/ | false | false | default | 334 | {'enabled': True, 'images': [{'id': '83hx5w1txa1g1', 'resolutions': [{'height': 103, 'url': 'https://preview.redd.it/83hx5w1txa1g1.png?width=108&crop=smart&auto=webp&s=f3dd7215c7bad5458cd18a4e37b6ffb3364592a0', 'width': 108}, {'height': 206, 'url': 'https://preview.redd.it/83hx5w1txa1g1.png?width=216&crop=smart&auto=we... | ||
Vibe'd this little local token counter utility. Calling it TokenLite. Paste in text and it does the math. | 0 | [https://github.com/Nessleonhart/TokenLite](https://github.com/Nessleonhart/TokenLite)
| 2025-11-14T22:42:29 | NessLeonhart | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1oxaz7y | false | null | t3_1oxaz7y | /r/LocalLLaMA/comments/1oxaz7y/vibed_this_little_local_token_counter_utility/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'e5on2swnva1g1', 'resolutions': [{'height': 55, 'url': 'https://preview.redd.it/e5on2swnva1g1.png?width=108&crop=smart&auto=webp&s=67d4051da44230bf217a699505dfe64bdaae0a6c', 'width': 108}, {'height': 110, 'url': 'https://preview.redd.it/e5on2swnva1g1.png?width=216&crop=smart&auto=web... | |
Which TTS model is best for voice cloning and accent changing ? | 3 | Where I can narrate my voice and change it, it would be great if I can speak in British accent too. | 2025-11-14T22:19:26 | https://www.reddit.com/r/LocalLLaMA/comments/1oxaet5/which_tts_model_is_best_for_voice_cloning_and/ | ProNoostr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxaet5 | false | null | t3_1oxaet5 | /r/LocalLLaMA/comments/1oxaet5/which_tts_model_is_best_for_voice_cloning_and/ | false | false | self | 3 | null |
Building a local LLM visualization tool - AI/ML Researcher needed | 4 | Working on a Mac app that visualizes what's happening inside local LLMs as they run (MLX/Ollama).
Shows real-time layer activations and attention patterns. Thinking it could help with:
* Understanding model behavior
* Comparing different models/quantizations
* Educational/debugging purposes
Early stage, genuinely tr... | 2025-11-14T22:13:48 | https://www.reddit.com/r/LocalLLaMA/comments/1oxa9nq/building_a_local_llm_visualization_tool_aiml/ | ManuToniotti | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oxa9nq | false | null | t3_1oxa9nq | /r/LocalLLaMA/comments/1oxa9nq/building_a_local_llm_visualization_tool_aiml/ | false | false | self | 4 | null |
Is there a self-hosted, open-source plug-and-play RAG solution? | 24 | I know about Ollama, llama-server, vLLM and all the other options for hosting LLMs, but I’m looking for something similar for RAG that I can self-host.
Basically:
I want to store scraped websites, upload PDF files, and similar documents — and have a simple system that handles:
• vector DB storage
• chunking
• data ... | 2025-11-14T21:41:09 | https://www.reddit.com/r/LocalLLaMA/comments/1ox9fzy/is_there_a_selfhosted_opensource_plugandplay_rag/ | anedisi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox9fzy | false | null | t3_1ox9fzy | /r/LocalLLaMA/comments/1ox9fzy/is_there_a_selfhosted_opensource_plugandplay_rag/ | false | false | self | 24 | null |
I didn't expect that... | 0 | I'm running Fedora 42 and installed `llama-cpp`, and it's refusing to work. I checked [the package info](https://packages.fedoraproject.org/pkgs/llama-cpp/llama-cpp/index.html), and it links to the [the llama.ccp repo](https://github.com/ggml-org/llama.cpp), so I'm pretty sure I'm using the right commands. A restart ha... | 2025-11-14T21:21:00 | https://www.reddit.com/r/LocalLLaMA/comments/1ox8xot/i_didnt_expect_that/ | VegetableJudgment971 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox8xot | false | null | t3_1ox8xot | /r/LocalLLaMA/comments/1ox8xot/i_didnt_expect_that/ | false | false | self | 0 | null |
Build RAG Evals from your Docs with Synthetic Data Generation (plus reranking, semantic chunking, and RAG over MCP) [Kiln AI] | 11 | We just created an interactive tool for building RAG evals, as part of [the Github Project Kiln](https://github.com/Kiln-AI/Kiln). It generates a RAG eval from your documents using synthetic data generation, through a fully interactive UI.
**The problem:** Evaluating RAG is tricky. An LLM-as-judge doesn't have the kno... | 2025-11-14T21:11:30 | https://v.redd.it/7wy9a01zfa1g1 | davernow | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ox8oth | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/7wy9a01zfa1g1/DASHPlaylist.mpd?a=1765746707%2CZTk4MDEyZjZmNGM5MDIxMzQ2ZTMzZjM0ZjZjN2RmNmVkMmQ1NjZmZWFmYTQ5MDhmOTk4MmE2Nzk1YjQ3YTg3Yw%3D%3D&v=1&f=sd', 'duration': 23, 'fallback_url': 'https://v.redd.it/7wy9a01zfa1g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1ox8oth | /r/LocalLLaMA/comments/1ox8oth/build_rag_evals_from_your_docs_with_synthetic/ | false | false | 11 | {'enabled': False, 'images': [{'id': 'bjdidTgyMHpmYTFnMZ0LLxhMcl41SYgtW1Imv6oloK9nZBtq79RPecQv5U1A', 'resolutions': [{'height': 70, 'url': 'https://external-preview.redd.it/bjdidTgyMHpmYTFnMZ0LLxhMcl41SYgtW1Imv6oloK9nZBtq79RPecQv5U1A.png?width=108&crop=smart&format=pjpg&auto=webp&s=7e884e4321f2b38239cacd346dbd5114fc656... | |
Why is Sesame CSM-8B so much smarter than Moshi 7B despite similar training methods? | 0 | I’ve been comparing Sesame CSM-8B and Moshi 7B, and the gap in intelligence is huge.
CSM-8B follows instructions better, understands context more accurately, and feels way more capable overall — even though the parameter count is almost the same.
What I don’t understand is:
as far as I know, both models use very simil... | 2025-11-14T21:05:50 | https://www.reddit.com/r/LocalLLaMA/comments/1ox8jos/why_is_sesame_csm8b_so_much_smarter_than_moshi_7b/ | Adept_Lawyer_4592 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox8jos | false | null | t3_1ox8jos | /r/LocalLLaMA/comments/1ox8jos/why_is_sesame_csm8b_so_much_smarter_than_moshi_7b/ | false | false | self | 0 | null |
We just added quantization to deepseek-ocr.rs | 1 | [removed] | 2025-11-14T20:23:32 | https://www.reddit.com/r/LocalLLaMA/comments/1ox7hab/we_just_added_quantization_to_deepseekocrrs/ | Outrageous-Voice | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox7hab | false | null | t3_1ox7hab | /r/LocalLLaMA/comments/1ox7hab/we_just_added_quantization_to_deepseekocrrs/ | false | false | self | 1 | null |
Observed a sharp “epoch-wise double descent” in a small MNIST MLP , associated with overfitting the augmented training data | 8 | I’ve been training a simple 3-layer MLP on MNIST using standard tricks (light affine augmentation, label smoothing, LR warmup, etc.), and I ran into an interesting pattern. The model reaches its best test accuracy fairly early, then test accuracy *declines* for a while, even though training accuracy keeps rising.
To... | 2025-11-14T20:03:07 | https://www.reddit.com/r/LocalLLaMA/comments/1ox6xt8/observed_a_sharp_epochwise_double_descent_in_a/ | calculatedcontent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox6xt8 | false | null | t3_1ox6xt8 | /r/LocalLLaMA/comments/1ox6xt8/observed_a_sharp_epochwise_double_descent_in_a/ | false | false | 8 | null | |
Which model to choose? | 0 | First of all,I have a potato PC (:
I searched for best model that I can run on CPU and I found those models to be the best.
https://huggingface.co/Liontix/Qwen3-4B-Thinking-2507-Gemini-2.5-Pro-Distill-GGUF
And Unsloth's Q4_K_XL quant of the original base model, which I think is a pretty good deal (from what I search... | 2025-11-14T20:00:54 | https://www.reddit.com/r/LocalLLaMA/comments/1ox6vjr/which_model_to_choose/ | Swimming-Ratio4879 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox6vjr | false | null | t3_1ox6vjr | /r/LocalLLaMA/comments/1ox6vjr/which_model_to_choose/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'X6LFNfr7MZfHb4KhjhlT85wGx4GMVwyjuI9pfWAyoiY', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/X6LFNfr7MZfHb4KhjhlT85wGx4GMVwyjuI9pfWAyoiY.png?width=108&crop=smart&auto=webp&s=8c41d5bef00390cb6dfb17f13c338af75e93b5ac', 'width': 108}, {'height': 116, 'url': 'h... |
I used TOON and I was astonished how well it performed! | 0 | I took the last days to compare results and done benchmarks between JSON, YAML and TOON and found out that clearly does what it states. The LLM results didn’t degrade. I also found out a new converter that has 756 models and their prices to see how it calculates the saved tokens and also it was interesting that had the... | 2025-11-14T19:52:27 | https://www.reddit.com/r/LocalLLaMA/comments/1ox6ngy/i_used_toon_and_i_was_astonished_how_well_it/ | aherontas | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox6ngy | false | null | t3_1ox6ngy | /r/LocalLLaMA/comments/1ox6ngy/i_used_toon_and_i_was_astonished_how_well_it/ | false | false | self | 0 | null |
𝐄𝐩𝐨𝐜𝐡-𝐖𝐢𝐬𝐞 𝐃𝐨𝐮𝐛𝐥𝐞 𝐃𝐞𝐬𝐜𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐖𝐞𝐢𝐠𝐡𝐭𝐖𝐚𝐭𝐜𝐡𝐞𝐫 | 1 | [removed] | 2025-11-14T19:51:21 | calculatedcontent | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ox6mga | false | null | t3_1ox6mga | /r/LocalLLaMA/comments/1ox6mga/𝐄𝐩𝐨𝐜𝐡𝐖𝐢𝐬𝐞_𝐃𝐨𝐮𝐛𝐥𝐞_𝐃𝐞𝐬𝐜𝐞𝐧𝐭_𝐰𝐢𝐭𝐡_𝐖𝐞𝐢𝐠𝐡𝐭𝐖𝐚𝐭𝐜𝐡𝐞𝐫/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'c9dc0emq1a1g1', 'resolutions': [{'height': 48, 'url': 'https://preview.redd.it/c9dc0emq1a1g1.png?width=108&crop=smart&auto=webp&s=364bcb4c0be38cc06bf53b7155b665438dc0506b', 'width': 108}, {'height': 96, 'url': 'https://preview.redd.it/c9dc0emq1a1g1.png?width=216&crop=smart&auto=webp... | |
New Nemo tune of creative \ adventure \ roleplay | 22 | Hi all,
I introduce **Sweet\_Dreams\_12B,** a Nemo 12B tune with focus on more human and natural responses, with a fun vocabulary and reduced slop.
Here's the TL;DR:
* Accepts **wide range** of character cards formats.
* **Unique** vocabulary.
* **Very diverse** swipes.
* Does adventure well.
* **Morrowind** knowled... | 2025-11-14T19:30:43 | https://www.reddit.com/r/LocalLLaMA/comments/1ox63cc/new_nemo_tune_of_creative_adventure_roleplay/ | Sicarius_The_First | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox63cc | false | null | t3_1ox63cc | /r/LocalLLaMA/comments/1ox63cc/new_nemo_tune_of_creative_adventure_roleplay/ | false | false | self | 22 | {'enabled': False, 'images': [{'id': 'gsKPdwFnXrTSYNW7-htH7lHFwKgbQkH5_X9htQB1WWI', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/gsKPdwFnXrTSYNW7-htH7lHFwKgbQkH5_X9htQB1WWI.png?width=108&crop=smart&auto=webp&s=00266657cc694f88ed5116888462ac7ae68990ff', 'width': 108}, {'height': 116, 'url': 'h... |
<8B LLM for Game Agent | 0 | Hi, I want to get some recommendations from you guys.
What I want is to find LLM model as an agent for the game like pokemon, but the model size should be less than 8B.
Note that Qwen3-8B is in fact 8.2B, which is larger than 8B.
Any suggestions? Any model recommendations are welcome | 2025-11-14T19:28:07 | https://www.reddit.com/r/LocalLLaMA/comments/1ox60xq/8b_llm_for_game_agent/ | always_newbee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox60xq | false | null | t3_1ox60xq | /r/LocalLLaMA/comments/1ox60xq/8b_llm_for_game_agent/ | false | false | self | 0 | null |
Testing token learning in my data storage compression | 1 | Doing great. Its alive :) 70% cost saving | 2025-11-14T19:21:29 | https://v.redd.it/pl6th6f7w91g1 | Ljumberg | /r/LocalLLaMA/comments/1ox5upl/testing_token_learning_in_my_data_storage/ | 1970-01-01T00:00:00 | 0 | {} | 1ox5upl | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/pl6th6f7w91g1/DASHPlaylist.mpd?a=1765869695%2CYjQ4YTZiNTg3ZTQxNjM5ZWRkZmJhMmFmMDYyNWE1MmE5YTQ5YzU2Y2E5YmExN2NkNzhkNzkwZmFjYjVjMGE0NQ%3D%3D&v=1&f=sd', 'duration': 109, 'fallback_url': 'https://v.redd.it/pl6th6f7w91g1/CMAF_720.mp4?source=fallback', 'h... | t3_1ox5upl | /r/LocalLLaMA/comments/1ox5upl/testing_token_learning_in_my_data_storage/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'c3lxMTM4Zjd3OTFnMXuyBuST8m0EOQoV6FFZHxb2Dn6UM_YrAxFtuixKrDxT', 'resolutions': [{'height': 59, 'url': 'https://external-preview.redd.it/c3lxMTM4Zjd3OTFnMXuyBuST8m0EOQoV6FFZHxb2Dn6UM_YrAxFtuixKrDxT.png?width=108&crop=smart&format=pjpg&auto=webp&s=d8df1fde3038ea6873ec19629e0528fd4d305... | |
La Perf - Local AI benchmark. Need M1/M2/M3, AMD, Intel Arc contributions. Got 4090/A100/3090/T4/M4 Max | 1 | [removed] | 2025-11-14T19:17:11 | https://www.reddit.com/r/LocalLLaMA/comments/1ox5qq9/la_perf_local_ai_benchmark_need_m1m2m3_amd_intel/ | Ok_Character_3172 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox5qq9 | false | null | t3_1ox5qq9 | /r/LocalLLaMA/comments/1ox5qq9/la_perf_local_ai_benchmark_need_m1m2m3_amd_intel/ | false | false | self | 1 | null |
nVidia selling 5090 for retail | 1 | [https://marketplace.nvidia.com/en-us/consumer/graphics-cards/](https://marketplace.nvidia.com/en-us/consumer/graphics-cards/)
| 2025-11-14T19:13:47 | https://www.reddit.com/r/LocalLLaMA/comments/1ox5ngi/nvidia_selling_5090_for_retail/ | Terminator857 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox5ngi | false | null | t3_1ox5ngi | /r/LocalLLaMA/comments/1ox5ngi/nvidia_selling_5090_for_retail/ | false | false | self | 1 | null |
I need a CTO | 0 | I’m an unconventional CEO, we’ve got a unique and valuable AI solution, that needs the right person to get us where we should be. Ready to make something happen with all that time you’ve spent on this? | 2025-11-14T18:47:57 | https://www.reddit.com/r/LocalLLaMA/comments/1ox4ypn/i_need_a_cto/ | broodsmilerepeat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox4ypn | false | null | t3_1ox4ypn | /r/LocalLLaMA/comments/1ox4ypn/i_need_a_cto/ | false | false | self | 0 | null |
Dumb question, but I want to dispel any doubts. Aren't MOE supposed to be much snappier than dense models? | 0 | So, I finally managed to upgrade my pc, I am now a (relatively) happy owner of a ryzen 7 9800x3D, 128gb 6400 ddr5 ram, 2x 3090 asus ROG Strix with 48 gb of vram total.
Needless to say, I tried firing up some new models, glm 4.5 air to be precise, with 12b active parameters and 106b total parameters.
I may be mistaken... | 2025-11-14T18:19:23 | https://www.reddit.com/r/LocalLLaMA/comments/1ox46wp/dumb_question_but_i_want_to_dispel_any_doubts/ | Relative_Bit_7250 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox46wp | false | null | t3_1ox46wp | /r/LocalLLaMA/comments/1ox46wp/dumb_question_but_i_want_to_dispel_any_doubts/ | false | false | self | 0 | null |
Fixed KV cache bug in ByteDance Ouro-1.4B - 1.7x speedup | 10 | I encountered a KV-cache bug in ByteDance's **Ouro-1.4B** that caused out-of-bounds errors and slow inference. I created a fix that's now available on PyPI.
### 🔍 Problem
The Universal Transformer architecture needs **96–128 cache indices**, but
`DynamicCache` only provides ~30, leading to crashes and degraded perfo... | 2025-11-14T17:59:29 | https://www.reddit.com/r/LocalLLaMA/comments/1ox3n0t/fixed_kv_cache_bug_in_bytedance_ouro14b_17x/ | Livid_Fisherman_9884 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox3n0t | false | null | t3_1ox3n0t | /r/LocalLLaMA/comments/1ox3n0t/fixed_kv_cache_bug_in_bytedance_ouro14b_17x/ | false | false | self | 10 | null |
Epoch-Wise Double Descent with WeightWatcher | 1 | 𝐄𝐩𝐨𝐜𝐡-𝐖𝐢𝐬𝐞 𝐃𝐨𝐮𝐛𝐥𝐞 𝐃𝐞𝐬𝐜𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝐖𝐞𝐢𝐠𝐡𝐭𝐖𝐚𝐭𝐜𝐡𝐞𝐫. If you train a 3-layer MLP on MNIST, but with randomly augmented training data, you can get a very high test accuracy (orange)...but the accuracy on the augmented training data (blue) tanks. 𝘐𝘯 𝘰𝘵𝘩𝘦𝘳 𝘸𝘰𝘳𝘥𝘴, 𝘵𝘩𝘦 𝘮𝘰𝘥𝘦... | 2025-11-14T17:56:34 | calculatedcontent | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ox3k9q | false | null | t3_1ox3k9q | /r/LocalLLaMA/comments/1ox3k9q/epochwise_double_descent_with_weightwatcher/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'czuuunk4h91g1', 'resolutions': [{'height': 48, 'url': 'https://preview.redd.it/czuuunk4h91g1.png?width=108&crop=smart&auto=webp&s=955fc62530a850bae9d4dbc899fcb92c68127c0b', 'width': 108}, {'height': 96, 'url': 'https://preview.redd.it/czuuunk4h91g1.png?width=216&crop=smart&auto=webp... | |
Open-source RAG/LLM evaluation framework; I’m part of the team and would love feedback | 11 | Hey everyone,
I’m a software engineering student who recently joined a small team working on Rhesis, an open-source framework for evaluating RAG systems and LLM outputs. I’m still learning a great deal about evaluation pipelines, so I wanted to share my insights here and hear what people in this community think.
The ... | 2025-11-14T17:55:04 | https://www.reddit.com/r/LocalLLaMA/comments/1ox3iu3/opensource_ragllm_evaluation_framework_im_part_of/ | IOnlyDrinkWater_22 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox3iu3 | false | null | t3_1ox3iu3 | /r/LocalLLaMA/comments/1ox3iu3/opensource_ragllm_evaluation_framework_im_part_of/ | false | false | self | 11 | {'enabled': False, 'images': [{'id': '9yUmqeHjksCscGJ9fxqi_e1zaVCjqPDj02VJ8fEuHYQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/9yUmqeHjksCscGJ9fxqi_e1zaVCjqPDj02VJ8fEuHYQ.png?width=108&crop=smart&auto=webp&s=fc7d48eb62cb2d45ddc18da1e60e60fb8bc31dd8', 'width': 108}, {'height': 108, 'url': 'h... |
Drummer's Precog 24B and 123B v1 - AI that writes a short draft before responding | 150 | Hey guys!
I wanted to explore a different way of thinking where the AI uses the `<think>` block to plan ahead and create a short draft so that its *actual* response has **basis**. It seems like a good way to have the AI pan out its start, middle, and end before writing the entire thing. Kind of like a synopsis or abs... | 2025-11-14T17:50:02 | https://www.reddit.com/r/LocalLLaMA/comments/1ox3e1f/drummers_precog_24b_and_123b_v1_ai_that_writes_a/ | TheLocalDrummer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox3e1f | false | null | t3_1ox3e1f | /r/LocalLLaMA/comments/1ox3e1f/drummers_precog_24b_and_123b_v1_ai_that_writes_a/ | false | false | self | 150 | {'enabled': False, 'images': [{'id': 'vl2ei1-FehJR-7jZHQXuFZ_Y0kemf2CP216W8qh6VxE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/vl2ei1-FehJR-7jZHQXuFZ_Y0kemf2CP216W8qh6VxE.png?width=108&crop=smart&auto=webp&s=38689c287de21c28b946a6069edf9dfb076dbeda', 'width': 108}, {'height': 116, 'url': 'h... |
are there any resources for reading system design of the ai coding agents | 0 | yeah as in the title are there any resources for reading the system design of the ai coding agents like lovable, v0 or any similar applcations | 2025-11-14T17:31:52 | https://www.reddit.com/r/LocalLLaMA/comments/1ox2wci/are_there_any_resources_for_reading_system_design/ | lavangamm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox2wci | false | null | t3_1ox2wci | /r/LocalLLaMA/comments/1ox2wci/are_there_any_resources_for_reading_system_design/ | false | false | self | 0 | null |
Getting a little help on my sketch from AI | 0 | 2025-11-14T17:16:00 | https://v.redd.it/lplcmh90a91g1 | aigeneration | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ox2h3z | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/lplcmh90a91g1/DASHPlaylist.mpd?a=1765732577%2COTc1NDBhZmY4MThhZWYzY2E4MDhjM2IxZjQ3NmUwNDRkNWU5MGNlYTE2YTRmNWVmYzY3NDMzMWI3ZmRjZTZiZQ%3D%3D&v=1&f=sd', 'duration': 42, 'fallback_url': 'https://v.redd.it/lplcmh90a91g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1ox2h3z | /r/LocalLLaMA/comments/1ox2h3z/getting_a_little_help_on_my_sketch_from_ai/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'YmV2cmozaTNhOTFnMWY3QHv-48-5SJLENQKUHtfKplvZvMAfuun-q4uRaqqN', 'resolutions': [{'height': 63, 'url': 'https://external-preview.redd.it/YmV2cmozaTNhOTFnMWY3QHv-48-5SJLENQKUHtfKplvZvMAfuun-q4uRaqqN.png?width=108&crop=smart&format=pjpg&auto=webp&s=4dad51f5af766d483da1bc5c8491a620a8166... | ||
Risk of LLM Judges in Paper Review: Scores Could Mask Poor Quality | 29 | See this twitter thread: https://nitter.net/micahgoldblum/status/1989088547777966512
A couple of quotes
> An LLM-generated paper is in the top 17% of ICLR submissions in terms of average reviewer score, having received two 8's. The paper has tons of BS jargon and hallucinated references. Fortunately, one reviewer a... | 2025-11-14T16:55:58 | https://www.reddit.com/r/LocalLLaMA/comments/1ox1x54/risk_of_llm_judges_in_paper_review_scores_could/ | pier4r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox1x54 | false | null | t3_1ox1x54 | /r/LocalLLaMA/comments/1ox1x54/risk_of_llm_judges_in_paper_review_scores_could/ | false | false | self | 29 | null |
How to configure the minimum VLLM–20t/s running minimaxm2 on the computer? | 1 | Is there a great person who can help me analyze it? I want to configure a personal workstation, with the goal of minimaxM2 1. I can stabilize 30k context 20t/s Q4km quantization in vllm, and 2. I can stabilize 30k context 30t/s Q4km quantization in llamacpp. What configuration I have now: 48X2 6400mhz 96G memory and 50... | 2025-11-14T16:45:27 | https://www.reddit.com/r/LocalLLaMA/comments/1ox1myz/how_to_configure_the_minimum_vllm20ts_running/ | Front-Relief473 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox1myz | false | null | t3_1ox1myz | /r/LocalLLaMA/comments/1ox1myz/how_to_configure_the_minimum_vllm20ts_running/ | false | false | self | 1 | null |
LLMs from emacs | 6 | 2025-11-14T16:40:47 | https://www.reddit.com/r/LocalLLaMA/comments/1ox1icc/llms_from_emacs/ | GregariousWolf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox1icc | false | null | t3_1ox1icc | /r/LocalLLaMA/comments/1ox1icc/llms_from_emacs/ | false | false | 6 | null | ||
Why does nvidia-smi show 2% GPU utilization when the GPU is idle? | 0 | This doesn’t happen on my old RTX 2080 Ti
OS: Ubuntu 24.10
CUDA: 13.0.2
Driver: 580.105.08 | 2025-11-14T16:24:56 | Mindless_Pain1860 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1ox12gk | false | null | t3_1ox12gk | /r/LocalLLaMA/comments/1ox12gk/why_does_nvidiasmi_show_2_gpu_utilization_when/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'uc5y7m0e091g1', 'resolutions': [{'height': 53, 'url': 'https://preview.redd.it/uc5y7m0e091g1.png?width=108&crop=smart&auto=webp&s=2b0afcc6665c437b02e1d22d46371bfa354a10a4', 'width': 108}, {'height': 107, 'url': 'https://preview.redd.it/uc5y7m0e091g1.png?width=216&crop=smart&auto=web... | |
Open-source local Claude-Code alternative for DevOps - looking for beta testers | 1 | I’ve been working on a small open-source project - a local Claude-Code-style assistant built with ollama.
It runs entirely offline, uses a locally trained model optimised for speed, and can handle practical DevOps tasks like reading/writing files, running shell commands, and checking env vars.
Core ideas:
* Local mo... | 2025-11-14T16:24:49 | https://www.reddit.com/r/LocalLLaMA/comments/1ox12cj/opensource_local_claudecode_alternative_for/ | apinference | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox12cj | false | null | t3_1ox12cj | /r/LocalLLaMA/comments/1ox12cj/opensource_local_claudecode_alternative_for/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'YU275vvc-GapPfaAZ6EEPPb5elRhrDOVhFp0aEy3Ilw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/YU275vvc-GapPfaAZ6EEPPb5elRhrDOVhFp0aEy3Ilw.png?width=108&crop=smart&auto=webp&s=d9808e17569f5bb4f44377a4721b38688c21cc59', 'width': 108}, {'height': 108, 'url': 'h... |
How do i convert a LMStudio oriented RAG pipeline to vLLM oriented one ? | 0 | I have been following [running RAGAnything locally using LMStudio](https://github.com/HKUDS/RAG-Anything/blob/main/examples/lmstudio_integration_example.py). but our local server have vLLM installed in it. How do i do transition from LMStudio to vLLM error-free ? | 2025-11-14T16:17:15 | https://www.reddit.com/r/LocalLLaMA/comments/1ox0ur9/how_do_i_convert_a_lmstudio_oriented_rag_pipeline/ | primumnc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox0ur9 | false | null | t3_1ox0ur9 | /r/LocalLLaMA/comments/1ox0ur9/how_do_i_convert_a_lmstudio_oriented_rag_pipeline/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'jX_l_J9i4K5UCDYgeW9-Mcoo-Cd1X8i7lNWeF0JSvkM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/jX_l_J9i4K5UCDYgeW9-Mcoo-Cd1X8i7lNWeF0JSvkM.png?width=108&crop=smart&auto=webp&s=58ae5d2cd094dac494748778acbd2bd1892e1a75', 'width': 108}, {'height': 108, 'url': 'h... |
I've bought a RTX 6000 PRO. Now what? | 0 | A little context: I was using a 5090 until last week. I am working mainly with image and video models and I consider myself an advanced ComfyUI user. 5090 gave the power to run Flux fp16 intead of quantized versions, and Qwen and Wan in fp8. Now the 6000 gave me the power to run all video models in fp16 and generate lo... | 2025-11-14T16:05:57 | https://www.reddit.com/r/LocalLLaMA/comments/1ox0jpm/ive_bought_a_rtx_6000_pro_now_what/ | applied_intelligence | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ox0jpm | false | null | t3_1ox0jpm | /r/LocalLLaMA/comments/1ox0jpm/ive_bought_a_rtx_6000_pro_now_what/ | false | false | self | 0 | null |
This new LLM site gives free LLM credits! | 1 | [removed] | 2025-11-14T15:44:02 | https://www.reddit.com/r/LocalLLaMA/comments/1owzy6p/this_new_llm_site_gives_free_llm_credits/ | Desperate-Mine2845 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owzy6p | false | null | t3_1owzy6p | /r/LocalLLaMA/comments/1owzy6p/this_new_llm_site_gives_free_llm_credits/ | false | false | self | 1 | null |
Software dev from Serbia looking for proven AI B2B ideas - we're 2 years behind the curve | 0 | Hey everyone,
I'm developer from Serbia reaching out to this community for some insights. Our market typically lags 1-2 years behind more tech-advanced countries in terms of adoption and trends.
There's currently a grant competition here offering funding for AI projects, and I want to build something with real tracti... | 2025-11-14T15:21:49 | https://www.reddit.com/r/LocalLLaMA/comments/1owzchz/software_dev_from_serbia_looking_for_proven_ai/ | Certain-Sherbert-641 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owzchz | false | null | t3_1owzchz | /r/LocalLLaMA/comments/1owzchz/software_dev_from_serbia_looking_for_proven_ai/ | false | false | self | 0 | null |
Sorry for the dumb question, but why are there MXFP4 GGUFs but no NVFP4 GGUFs? | 3 | We just got some DGX Spark boxes at work for development purposes and I loaded up LM Studio on them. I heard that the preferred model type that will run best on them is NVFP4, but I can’t seem to find any NVFP4 models in LM Studio, The closest I’ve been able to find is MXFP4 (which is the default model selection when y... | 2025-11-14T15:14:50 | https://www.reddit.com/r/LocalLLaMA/comments/1owz5s7/sorry_for_the_dumb_question_but_why_are_there/ | Porespellar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owz5s7 | false | null | t3_1owz5s7 | /r/LocalLLaMA/comments/1owz5s7/sorry_for_the_dumb_question_but_why_are_there/ | false | false | self | 3 | null |
Another Chinese Site Giving free $125 on Major LLM like Claude Sonnet 4.5! | 1 | [removed] | 2025-11-14T15:12:18 | https://www.reddit.com/r/LocalLLaMA/comments/1owz3cr/another_chinese_site_giving_free_125_on_major_llm/ | Desperate-Mine2845 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owz3cr | false | null | t3_1owz3cr | /r/LocalLLaMA/comments/1owz3cr/another_chinese_site_giving_free_125_on_major_llm/ | false | false | self | 1 | null |
Get $125 free credit for Claude Sonnet 4.5 using my referral at megallm.io - REF-KNIUAQ72 | 1 | [removed] | 2025-11-14T15:06:04 | https://www.reddit.com/r/LocalLLaMA/comments/1owyxen/get_125_free_credit_for_claude_sonnet_45_using_my/ | Desperate-Mine2845 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owyxen | false | null | t3_1owyxen | /r/LocalLLaMA/comments/1owyxen/get_125_free_credit_for_claude_sonnet_45_using_my/ | false | false | self | 1 | null |
Get $125 free credit for Claude Sonnet 4.5 using my referral at megallm.io - REF-KNIUAQ72 | 1 | [removed] | 2025-11-14T15:02:32 | https://www.reddit.com/r/LocalLLaMA/comments/1owytx5/get_125_free_credit_for_claude_sonnet_45_using_my/ | Desperate-Mine2845 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owytx5 | false | null | t3_1owytx5 | /r/LocalLLaMA/comments/1owytx5/get_125_free_credit_for_claude_sonnet_45_using_my/ | false | false | self | 1 | null |
The Big LLM Architecture Comparison: From DeepSeek-V3 to Kimi K2 Thinking | 172 | 2025-11-14T14:58:02 | https://sebastianraschka.com/blog/2025/the-big-llm-architecture-comparison.html | seraschka | sebastianraschka.com | 1970-01-01T00:00:00 | 0 | {} | 1owyp8q | false | null | t3_1owyp8q | /r/LocalLLaMA/comments/1owyp8q/the_big_llm_architecture_comparison_from/ | false | false | default | 172 | {'enabled': False, 'images': [{'id': '5N8z_mXiAneWfY6B3hrkRbiDD5IkgsvFJWMT1AAURS8', 'resolutions': [{'height': 82, 'url': 'https://external-preview.redd.it/5N8z_mXiAneWfY6B3hrkRbiDD5IkgsvFJWMT1AAURS8.jpeg?width=108&crop=smart&auto=webp&s=bb798616d88900fbd4d6cdf789869938c2ea533e', 'width': 108}, {'height': 165, 'url': '... | |
The Big LLM Architecture Comparison: From DeepSeek-V3 to Kimi K2 Thinking: A Look At Modern LLM Architecture Design | 1 | 2025-11-14T14:57:10 | http://sebastianraschka.com/blog/2025/the-big-llm-architecture-comparison.html | seraschka | sebastianraschka.com | 1970-01-01T00:00:00 | 0 | {} | 1owyoip | false | null | t3_1owyoip | /r/LocalLLaMA/comments/1owyoip/the_big_llm_architecture_comparison_from/ | false | false | default | 1 | null | |
distil-localdoc.py - SLM assistant for writing Python documentation | 9 | We built an SLM assistant for automatic Python documentation - a Qwen3 0.6B parameter model that generates complete, properly formatted docstrings for your code in Google style. Run it locally, keeping your proprietary code secure! Find it at https://github.com/distil-labs/distil-localdoc.py
## Usage
We load the mode... | 2025-11-14T14:52:32 | party-horse | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1owyk52 | false | null | t3_1owyk52 | /r/LocalLLaMA/comments/1owyk52/distillocaldocpy_slm_assistant_for_writing_python/ | false | false | default | 9 | {'enabled': True, 'images': [{'id': 'phzq8yxnj81g1', 'resolutions': [{'height': 72, 'url': 'https://preview.redd.it/phzq8yxnj81g1.png?width=108&crop=smart&auto=webp&s=dfc31ddac2ee8c2bd01aa7e9845f16dfd7f5d00a', 'width': 108}, {'height': 144, 'url': 'https://preview.redd.it/phzq8yxnj81g1.png?width=216&crop=smart&auto=web... | |
Recommendations for managing high level project context while using coding agents | 0 | I use normal tools like windsurf, or coding CLIs to develop my projects. For high-level project oversight, I use Gemini in AI Studio with a sophisticated system prompt:
* Every time a agent finishes a task on my codebase, I manually copy its output into Gemini.
* Gemini summarizes what was done, updates the big-pictur... | 2025-11-14T14:52:28 | https://www.reddit.com/r/LocalLLaMA/comments/1owyk2m/recommendations_for_managing_high_level_project/ | uwk33800 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owyk2m | false | null | t3_1owyk2m | /r/LocalLLaMA/comments/1owyk2m/recommendations_for_managing_high_level_project/ | false | false | self | 0 | null |
Why aren't there cheap NVLink adapters for RTX 3090s? | 34 | Is the NVLink only a wire jumper linking both cards together?
Can I make my own homemade connections?
Or are there some chips or other things inside the bridge? | 2025-11-14T14:17:43 | https://www.reddit.com/r/LocalLLaMA/comments/1owxob9/why_arent_there_cheap_nvlink_adapters_for_rtx/ | alex_bit_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owxob9 | false | null | t3_1owxob9 | /r/LocalLLaMA/comments/1owxob9/why_arent_there_cheap_nvlink_adapters_for_rtx/ | false | false | self | 34 | null |
LLM Host | 0 | Which of the two hosts woould you guys going to buy / which one is in your opinion the most bang for the bucks? The sparately listed cpu's are upgrade options in each config. Prices are Euro. | 2025-11-14T14:14:38 | schnazzn | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1owxlin | false | null | t3_1owxlin | /r/LocalLLaMA/comments/1owxlin/llm_host/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'p805vgtid81g1', 'resolutions': [{'height': 22, 'url': 'https://preview.redd.it/p805vgtid81g1.png?width=108&crop=smart&auto=webp&s=5a9ee7421a14e21619e20490cd408d9b767b6c2f', 'width': 108}, {'height': 44, 'url': 'https://preview.redd.it/p805vgtid81g1.png?width=216&crop=smart&auto=webp... | |
Unified Dashboard for All Your AI Costs | 0 | In short
I'm building a tool to track:
\- LLM API costs across providers (OpenAI, Anthropic, etc.)
\- AI Agent Costs
\- Vector DB expenses (Pinecone, Weaviate, etc.)
\- External API costs (Stripe, Twilio, etc.)
\- Per-user cost attribution
\- Set spending caps and get alerts before budget overruns
Set up is rel... | 2025-11-14T14:13:11 | https://www.reddit.com/r/LocalLLaMA/comments/1owxk87/unified_dashboard_for_all_your_ai_costs/ | Visible_Farm8636 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owxk87 | false | null | t3_1owxk87 | /r/LocalLLaMA/comments/1owxk87/unified_dashboard_for_all_your_ai_costs/ | false | false | self | 0 | null |
The company gmktec made a comparison of the EVO-X2 that has a Ryzen AI Max+ 395 processor vs NVIDIA DGX SPARK | 124 | My point is that they should make comparisons with small models that have come out lately because they are enough for most people and because the inference is also faster
Info :
https://www.gmktec.com/blog/evo-x2-vs-nvidia-dgx-spark-redefining-local-ai-performance | 2025-11-14T13:52:15 | Illustrious-Swim9663 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1owx1nh | false | null | t3_1owx1nh | /r/LocalLLaMA/comments/1owx1nh/the_company_gmktec_made_a_comparison_of_the_evox2/ | false | false | default | 124 | {'enabled': True, 'images': [{'id': 'pl1lqj8r981g1', 'resolutions': [{'height': 56, 'url': 'https://preview.redd.it/pl1lqj8r981g1.jpeg?width=108&crop=smart&auto=webp&s=ff397e14b8e5b029abb032f4c436cab9aa753ac2', 'width': 108}, {'height': 113, 'url': 'https://preview.redd.it/pl1lqj8r981g1.jpeg?width=216&crop=smart&auto=w... | |
The company gmktec made a comparison of the EVO-X2 that has a Ryzen AI Max+ 395 processor vs NVIDIA DGX SPARK | 1 | My point is that they should make comparisons with small models that have come out lately because they are enough for most people and because the inference is also faster | 2025-11-14T13:49:28 | Illustrious-Swim9663 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1owwzb8 | false | null | t3_1owwzb8 | /r/LocalLLaMA/comments/1owwzb8/the_company_gmktec_made_a_comparison_of_the_evox2/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'cr4bw3f9981g1', 'resolutions': [{'height': 56, 'url': 'https://preview.redd.it/cr4bw3f9981g1.jpeg?width=108&crop=smart&auto=webp&s=c54559aefa37eff42335682d2f409370cefc1c2e', 'width': 108}, {'height': 113, 'url': 'https://preview.redd.it/cr4bw3f9981g1.jpeg?width=216&crop=smart&auto=w... | |
e built a local-first LLM testing platform - genuinely curious about your eval workflows | 1 | [removed] | 2025-11-14T13:14:46 | https://www.reddit.com/r/LocalLLaMA/comments/1oww610/e_built_a_localfirst_llm_testing_platform/ | Outrageous_Hat_9852 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oww610 | false | null | t3_1oww610 | /r/LocalLLaMA/comments/1oww610/e_built_a_localfirst_llm_testing_platform/ | false | false | self | 1 | null |
4x MI60 or 1x RTX 8000 | 3 | I have just acquired a supermicro GPU server and I currently run a single rtx 8000 in a dell R730 but how is AMD ROCm suport theses day on older cards? Would it be worth selling it to get 4 MI60?
Iv been happy with the RTX 8000 around 50-60 TPS on qwen3-30b3a (16k input) so definitely dont want to
My end goal is to ... | 2025-11-14T13:09:11 | https://www.reddit.com/r/LocalLLaMA/comments/1oww1hv/4x_mi60_or_1x_rtx_8000/ | TechLevelZero | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1oww1hv | false | null | t3_1oww1hv | /r/LocalLLaMA/comments/1oww1hv/4x_mi60_or_1x_rtx_8000/ | false | false | self | 3 | null |
Kimi k2 thinking + kilo code really not bad | 25 | I’m genuinely impressed. Once your AGENTS.md and rules.md are clear enough, kimi k2 thinking + kilo code really seems to be just as capable as Claude 4.0 sonnet, especially when it comes to programming and debugging. It’s a surprisingly powerful combination. | 2025-11-14T12:00:43 | https://www.reddit.com/r/LocalLLaMA/comments/1owulxd/kimi_k2_thinking_kilo_code_really_not_bad/ | Federal_Spend2412 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owulxd | false | null | t3_1owulxd | /r/LocalLLaMA/comments/1owulxd/kimi_k2_thinking_kilo_code_really_not_bad/ | false | false | self | 25 | null |
Is there any feasible modification that would allow an RTX 6000 to support an NVLink bridge? | 1 | I’ve seen posts about GPUs being modded to increase their VRAM, so I’m assuming adding NVLink bridge support should be possible since it’s far less invasive than a VRAM upgrade. | 2025-11-14T11:45:06 | https://www.reddit.com/r/LocalLLaMA/comments/1owub4y/is_there_any_feasible_modification_that_would/ | d00m_sayer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owub4y | false | null | t3_1owub4y | /r/LocalLLaMA/comments/1owub4y/is_there_any_feasible_modification_that_would/ | false | false | self | 1 | null |
We built a framework for generating custom RAG evaluation datasets and released a D&D-based one (open-source) | 18 | 🔗 [Blog post](https://datapizza.tech/it/blog/aij4r/)
🔗 [GitHub repo](https://github.com/datapizza-labs/rag-dataset-builder)
🔗 [Dataset on Hugging Face](https://huggingface.co/datasets/datapizza-ai-lab/dnd5e-srd-qa)
Would love to hear your thoughts, feedback, or ideas on how to improve this! ❤️ | 2025-11-14T11:31:58 | http://datapizza.tech/it/blog/aij4r/ | mario_candela | datapizza.tech | 1970-01-01T00:00:00 | 0 | {} | 1owu2nn | false | null | t3_1owu2nn | /r/LocalLLaMA/comments/1owu2nn/we_built_a_framework_for_generating_custom_rag/ | false | false | default | 18 | {'enabled': False, 'images': [{'id': 'WM9coASZAPosxQnRrgryGmXh5OYtno3uUsf9XZYu3E8', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/WM9coASZAPosxQnRrgryGmXh5OYtno3uUsf9XZYu3E8.png?width=108&crop=smart&auto=webp&s=9f752de1356f75a626eb04ab6e27ad70f0d13d82', 'width': 108}, {'height': 121, 'url': 'h... |
Just AGI will be able to solve this prompt | 0 | \[thiago@server \~\]$ ollama run [hf.co/unsloth/Magistral-Small-2506-GGUF:Q4\_K\_XL](http://hf.co/unsloth/Magistral-Small-2506-GGUF:Q4_K_XL)
\>>> hi
<think>
Okay, the user just said "hi". It seems like they're greeting me. I should respond in a friendly and professional manner. Maybe I can ask how they're doing or w... | 2025-11-14T11:19:17 | https://www.reddit.com/r/LocalLLaMA/comments/1owtu5e/just_agi_will_be_able_to_solve_this_prompt/ | JsThiago5 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owtu5e | false | null | t3_1owtu5e | /r/LocalLLaMA/comments/1owtu5e/just_agi_will_be_able_to_solve_this_prompt/ | false | false | self | 0 | null |
Llama on AWS or other host? | 0 | I’d love to hear from anyone who has successfully deployed an AI solution commercially, on the best practices and environment! | 2025-11-14T11:10:13 | https://www.reddit.com/r/LocalLLaMA/comments/1owto8v/llama_on_aws_or_other_host/ | broodsmilerepeat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owto8v | false | null | t3_1owto8v | /r/LocalLLaMA/comments/1owto8v/llama_on_aws_or_other_host/ | false | false | self | 0 | null |
Can I get better performance out of my system for GLM 4.6? | 2 | I wanted to run some larger models on my workstation, and since I really love GLM 4.5 Air on my Ryzen AI Max laptop, I tried GLM 4.6 at IQ4 quantization.
Here's what I have so far:
## My hardware:
- Intel Xeon Platinum 8368, 38-cores @ 3.3 GHz
- 8-channel DDR4, 256GB @ 3200MHz (~200GB/s memory bandwidth)
- Radeon 79... | 2025-11-14T11:09:32 | https://www.reddit.com/r/LocalLLaMA/comments/1owtnu6/can_i_get_better_performance_out_of_my_system_for/ | spaceman_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owtnu6 | false | null | t3_1owtnu6 | /r/LocalLLaMA/comments/1owtnu6/can_i_get_better_performance_out_of_my_system_for/ | false | false | self | 2 | null |
How can one train a LLM with custom reinforcement learning? | 0 | for example, could I train a LLM and give it rewards if it succesfully completes an agentic action of my choice? | 2025-11-14T10:54:16 | https://www.reddit.com/r/LocalLLaMA/comments/1owte4t/how_can_one_train_a_llm_with_custom_reinforcement/ | Odd_Attention_9660 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owte4t | false | null | t3_1owte4t | /r/LocalLLaMA/comments/1owte4t/how_can_one_train_a_llm_with_custom_reinforcement/ | false | false | self | 0 | null |
Mac + Windows AI cluster please help | 3 | I have my a windows pc 5090 + 96Gb DDR5 ram + 9950x3D. A unraid server with 196GB Ram + 9950x no GPU. A Macbook with M3Max 48Gb. Currently running gpt-oss-120b on my windows pc in LMStudio is giving me around 18tps which I am perfectly happy with. I would like to be able to run larger models around 500B. Is it possible... | 2025-11-14T10:42:54 | https://www.reddit.com/r/LocalLLaMA/comments/1owt76q/mac_windows_ai_cluster_please_help/ | silkychickenz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owt76q | false | null | t3_1owt76q | /r/LocalLLaMA/comments/1owt76q/mac_windows_ai_cluster_please_help/ | false | false | self | 3 | null |
Hits different now | 46 | Hadn’t seen this in ages.. I don’t have opinions on AGI either way at this point, but this scene sure hits a lot harder now than it did back then! | 2025-11-14T10:30:03 | lfiction | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1owszii | false | null | t3_1owszii | /r/LocalLLaMA/comments/1owszii/hits_different_now/ | false | false | 46 | {'enabled': True, 'images': [{'id': '-lsytlNIomj45L0_W6We0GdmrWfbMKrvASHytcy6wnY', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/t0yq5cko971g1.jpeg?width=108&crop=smart&auto=webp&s=aa47cedbc95c4853d4e4bc981daca0a3a4910829', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/t0yq5cko971g1.jp... | ||
I built a unified LLM playground that makes testing and organizing prompts easier. I'd really appreciate your feedback! | 4 | Hi everyone,
I'm excited to share something I built: Prompty - a Unified AI playground app designed to help you test and organize your prompts efficiently.
What Prompty offers:
* Test prompts with multiple models (both cloud and local models) all in one place
* Local-first design: all your data is stored locally on ... | 2025-11-14T10:18:49 | https://www.reddit.com/r/LocalLLaMA/comments/1owsskx/i_built_a_unified_llm_playground_that_makes/ | giangchau92 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owsskx | false | null | t3_1owsskx | /r/LocalLLaMA/comments/1owsskx/i_built_a_unified_llm_playground_that_makes/ | false | false | self | 4 | null |
Windows llama.cpp is 20% faster | 280 | But why?
**Windows: 1000+ PP**
llama-bench -m C:\\Users\\johan\\.lmstudio\\models\\unsloth\\Qwen3-VL-30B-A3B-Instruct-GGUF\\Qwen3-VL-30B-A3B-Instruct-UD-Q8\_K\_XL.gguf -p 512,1024,2048,4096 -n 0 -fa 0 --mmap 0
load\_backend: loaded RPC backend from C:\\Users\\johan\\Downloads\\llama-b7032-bin-win-vulkan-x64\\ggml-r... | 2025-11-14T10:05:21 | johannes_bertens | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1owskm6 | false | null | t3_1owskm6 | /r/LocalLLaMA/comments/1owskm6/windows_llamacpp_is_20_faster/ | false | false | 280 | {'enabled': True, 'images': [{'id': 'zyHr0zLJV-KY1eK_qHf_PAiDejYW1Fhv2XvoggRcbMQ', 'resolutions': [{'height': 66, 'url': 'https://preview.redd.it/tfdcbkf6571g1.png?width=108&crop=smart&auto=webp&s=4ac10f545dd8d660c08a789ac5fa53cbbd6e9faf', 'width': 108}, {'height': 132, 'url': 'https://preview.redd.it/tfdcbkf6571g1.png... | ||
Help me choose the right AI model for my project | 0 | I'm working on a personal project and trying to pick between different AI models. Getting overwhelmed by all the options!
What questions should I be asking myself? So far I'm thinking about:
* What exactly do I need it to do?
* How fast does it need to respond?
* What's my budget for this?
* How reliable does it need... | 2025-11-14T10:01:05 | https://www.reddit.com/r/LocalLLaMA/comments/1owsi1t/help_me_choose_the_right_ai_model_for_my_project/ | AnnotationAlly | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1owsi1t | false | null | t3_1owsi1t | /r/LocalLLaMA/comments/1owsi1t/help_me_choose_the_right_ai_model_for_my_project/ | false | false | self | 0 | null |
What is the best GPU you can get today? | 0 | As title says, I need to configure a system for local inference. It will be running concurrent tasks (Processing tabular data with usually more than 50k Rows) through VLLM. My main go-to model right now is the Qwen30B-A3B, it's usually enough for what I do. I would love to be able to run GLM Air though.
I've thought ... | 2025-11-14T09:41:51 | https://www.reddit.com/r/LocalLLaMA/comments/1ows773/what_is_the_best_gpu_you_can_get_today/ | Su1tz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ows773 | false | null | t3_1ows773 | /r/LocalLLaMA/comments/1ows773/what_is_the_best_gpu_you_can_get_today/ | false | false | self | 0 | null |
Kimi k2 thinking vs Claude Sonnet | 65 | I will add my personal experience with kimi k2 thinking for my usecase since I saw contrasting opinions.
I needed to cluster some cells from a csv file to see if it would be achievable with my data to do some unsupervised classification of tumor cell/healthy cell.
I tried with claude sonnet 4 and after 2$ in api ca... | 2025-11-14T09:41:28 | https://www.reddit.com/r/LocalLLaMA/comments/1ows6z3/kimi_k2_thinking_vs_claude_sonnet/ | sebastianmicu24 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ows6z3 | false | null | t3_1ows6z3 | /r/LocalLLaMA/comments/1ows6z3/kimi_k2_thinking_vs_claude_sonnet/ | false | false | self | 65 | null |
I'm glad to see you. | 0 | I was playing with the LLM models by myself
It's my first time saying hello. I'm glad to see you.
I look forward to your kind cooperation | 2025-11-14T09:37:43 | https://www.reddit.com/r/LocalLLaMA/comments/1ows4se/im_glad_to_see_you/ | PKC_Mark | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ows4se | false | null | t3_1ows4se | /r/LocalLLaMA/comments/1ows4se/im_glad_to_see_you/ | false | false | self | 0 | null |
Best current model for document analysis (datasheets)? | 0 | I need to process sensitive documents locally — mainly PDFs (summarization) and images (OCR / image-to-text). What are the best current local models for this workload on my hardware? I’m also open to using separate models for text and I2T if a multimodal one isn’t efficient.
**My hardware:**
* **CPU:** Intel Core Ult... | 2025-11-14T09:36:29 | https://www.reddit.com/r/LocalLLaMA/comments/1ows459/best_current_model_for_document_analysis/ | Low-Implement9819 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1ows459 | false | null | t3_1ows459 | /r/LocalLLaMA/comments/1ows459/best_current_model_for_document_analysis/ | false | false | self | 0 | null |
China’s AI is quietly making big inroads in Silicon Valley | Technology | 11 | The open Chinese models are great for us enthusiasts. But I wonder, are the Chinese firms the suckers here? They spend a lot of time and money on research to create models, but then don't get the economic benefits of them.
Maybe in the domestic market, they have some sales, but all the Western firms just take the tech... | 2025-11-14T09:24:21 | https://www.aljazeera.com/economy/2025/11/13/chinas-ai-is-quietly-making-big-inroads-in-silicon-valley | DeltaSqueezer | aljazeera.com | 1970-01-01T00:00:00 | 0 | {} | 1owrx93 | false | null | t3_1owrx93 | /r/LocalLLaMA/comments/1owrx93/chinas_ai_is_quietly_making_big_inroads_in/ | false | false | default | 11 | {'enabled': False, 'images': [{'id': 'XKSDkP24jkFiaPPpahhfTFJZo-96mtVaeuDBA0JscFQ', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/XKSDkP24jkFiaPPpahhfTFJZo-96mtVaeuDBA0JscFQ.jpeg?width=108&crop=smart&auto=webp&s=6493c586ec9384a229be23e3d501591108f001d9', 'width': 108}, {'height': 162, 'url': '... |
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