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Evening fun with Grace and Hopper unified memory, or how to speed up llama.cpp and DeepSeek V3.1 on NVIDIA GH200 | 3 | For the past 2 days I had the pleasure of having remote access to a NVIDIA GH200 system kindly shared by u/GPTShop. It's a similar machine to the one that u/Reddactor has shown in hist [recent post](https://www.reddit.com/r/LocalLLaMA/comments/1pjbhyz/i_bought_a_gracehopper_server_for_75k_on_reddit/), but with only a s... | 2025-12-12T20:16:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pl1zpa/evening_fun_with_grace_and_hopper_unified_memory/ | fairydreaming | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pl1zpa | false | null | t3_1pl1zpa | /r/LocalLLaMA/comments/1pl1zpa/evening_fun_with_grace_and_hopper_unified_memory/ | false | false | self | 3 | null |
llada2.0 benchmarks | 15 | 2025-12-12T19:59:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pl1keu/llada20_benchmarks/ | kaggleqrdl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pl1keu | false | null | t3_1pl1keu | /r/LocalLLaMA/comments/1pl1keu/llada20_benchmarks/ | false | false | 15 | null | ||
One line quantization+deployment/GUI of Qwen2.5/Z-Image Turbo | 7 | [GitHub Repo](https://github.com/JackJackJ/NeocloudX-Labs/)
There's nothing sus here, but of course always check the contents of shell scripts before pasting them in:
To run Qwen2.5+Z-Image integrated model (change 14 to 72 or 7 based on your hardware):
`git clone` [`https://github.com/JackJackJ/NeocloudX-Labs.gi... | 2025-12-12T19:57:08 | Affectionate_King_ | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pl1i7s | false | null | t3_1pl1i7s | /r/LocalLLaMA/comments/1pl1i7s/one_line_quantizationdeploymentgui_of/ | false | false | default | 7 | {'enabled': True, 'images': [{'id': 'v4ry3rlwvt6g1', 'resolutions': [{'height': 85, 'url': 'https://preview.redd.it/v4ry3rlwvt6g1.png?width=108&crop=smart&auto=webp&s=7f743e44bacbe8281435ce337d56a39025032216', 'width': 108}, {'height': 171, 'url': 'https://preview.redd.it/v4ry3rlwvt6g1.png?width=216&crop=smart&auto=web... | |
DS SERVE: A Framework for Efficient and Scalable Neural Retrieval | 1 | [removed] | 2025-12-12T19:43:27 | https://www.reddit.com/r/LocalLLaMA/comments/1pl16bl/ds_serve_a_framework_for_efficient_and_scalable/ | Disastrous_Solid6044 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pl16bl | false | null | t3_1pl16bl | /r/LocalLLaMA/comments/1pl16bl/ds_serve_a_framework_for_efficient_and_scalable/ | false | false | 1 | null | |
DS SERVE: A Framework for Efficient and Scalable Neural Retrieval | 1 | [removed] | 2025-12-12T19:39:12 | https://www.reddit.com/r/LocalLLaMA/comments/1pl12li/ds_serve_a_framework_for_efficient_and_scalable/ | Disastrous_Solid6044 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pl12li | false | null | t3_1pl12li | /r/LocalLLaMA/comments/1pl12li/ds_serve_a_framework_for_efficient_and_scalable/ | false | false | 1 | null | |
DS SERVE: A Framework for Efficient and Scalable Neural Retrieval | 1 | [removed] | 2025-12-12T19:30:00 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1pl0udg | false | null | t3_1pl0udg | /r/LocalLLaMA/comments/1pl0udg/ds_serve_a_framework_for_efficient_and_scalable/ | false | false | default | 1 | null | ||
What do you do, if you invent AGI? (seriously) | 51 | Some of you know me. I'm the resident LocalLlama silly person who tries to get my 4090 to do ridiculously fast things. I've posted some things here before, like controlling swarms of little bots, making an AI make weird sounds from its mouth, and getting AI to do agentic tasks, like my wacky effort to get thousands of ... | 2025-12-12T19:29:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pl0u6w/what_do_you_do_if_you_invent_agi_seriously/ | teachersecret | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pl0u6w | false | null | t3_1pl0u6w | /r/LocalLLaMA/comments/1pl0u6w/what_do_you_do_if_you_invent_agi_seriously/ | false | false | self | 51 | null |
DS SERVE: A Framework for Efficient and Scalable Neural Retrieval | 1 | [deleted] | 2025-12-12T19:26:00 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1pl0qxu | false | null | t3_1pl0qxu | /r/LocalLLaMA/comments/1pl0qxu/ds_serve_a_framework_for_efficient_and_scalable/ | false | false | default | 1 | null | ||
The new monster-server | 538 | Hi!
Just wanted to share my upgraded monster-server! I have bought the largest chassi I could reasonably find (Phanteks Enthoo pro 2 server) and filled it to the brim with GPU:s to run local LLM:s alongside my homelab. I am very happy how it has evloved / turned out!
**I call it the "Monster server" :)**
Based on... | 2025-12-12T19:23:12 | eribob | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pl0ojb | false | null | t3_1pl0ojb | /r/LocalLLaMA/comments/1pl0ojb/the_new_monsterserver/ | false | false | default | 538 | {'enabled': True, 'images': [{'id': '5kas5xaklt6g1', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/5kas5xaklt6g1.jpeg?width=108&crop=smart&auto=webp&s=2afda8e7bbf5db8b7acdcc75bb4505e616112472', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/5kas5xaklt6g1.jpeg?width=216&crop=smart&auto=w... | |
Synthetic Data Quantity for QLoRa Finetuning Llama 8 B? | 0 | I'm working on a project for (approved, legally-consented) style imitation QLoRA style fine-tuning of a Llama 3 8B model.
I have 143 example conversations, 828 turns, and about 31k tokens. I believe I will need to synthetically enrich the dataset to get good results.
How many synthetic pairs would you add? Any advice... | 2025-12-12T19:21:56 | https://www.reddit.com/r/LocalLLaMA/comments/1pl0ni1/synthetic_data_quantity_for_qlora_finetuning/ | Common-Feeling7380 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pl0ni1 | false | null | t3_1pl0ni1 | /r/LocalLLaMA/comments/1pl0ni1/synthetic_data_quantity_for_qlora_finetuning/ | false | false | self | 0 | null |
Llama.cpp and VRAM vs context size vs cache quant | 2 | What context sizes you you use with models like gpt-oss and GLM-4.5-Air?
The thing is that my setup is limited by the VRAM - 48GB so I can offload and some work is done by CPU/RAM which obviously gets things slower.
Now, I noticed that many 70b...120b models "almost" fit the 48GB VRAM with a proper quant like Q4\_K\_... | 2025-12-12T19:04:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pl087v/llamacpp_and_vram_vs_context_size_vs_cache_quant/ | ChopSticksPlease | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pl087v | false | null | t3_1pl087v | /r/LocalLLaMA/comments/1pl087v/llamacpp_and_vram_vs_context_size_vs_cache_quant/ | false | false | self | 2 | null |
Anyone tried deepseek-moe-16b & GigaChat-20B-A3B before? | 3 | Today accidentally noticed that a [particular](https://github.com/ggml-org/llama.cpp/releases/tag/b7333) llama.cpp release has these 2 models' names. Looks like semi old ticket.
Hope these are the right models(both have base models).
[https://huggingface.co/deepseek-ai/deepseek-moe-16b-chat](https://huggingface.co/de... | 2025-12-12T18:58:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pl01yk/anyone_tried_deepseekmoe16b_gigachat20ba3b_before/ | pmttyji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pl01yk | false | null | t3_1pl01yk | /r/LocalLLaMA/comments/1pl01yk/anyone_tried_deepseekmoe16b_gigachat20ba3b_before/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'q3wl3_o53Y-_2wyxdFzWlQKjOqETF9xZ6eawGtdmFi0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/q3wl3_o53Y-_2wyxdFzWlQKjOqETF9xZ6eawGtdmFi0.png?width=108&crop=smart&auto=webp&s=5fbf9606a6ee460a846573efa79e94b38aa3ca07', 'width': 108}, {'height': 108, 'url': 'h... |
Tired of "slop"? I spent +100 hours processing a "Silver Standard" dataset for Ukrainian Fine-Tuning (Med/Drama). Here is the result. | 0 | Hi everyone,
I'm building a pipeline for Low-Resource Languages (specifically Ukrainian) because I got tired of Llama-3 and Mistral sounding like Google Translate or hallucinating in critical domains.
Instead of scraping generic web trash, I focused on **Data Density** and **Logic**.
**What I built (DavidLab Corpus)... | 2025-12-12T18:48:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pkzt15/tired_of_slop_i_spent_100_hours_processing_a/ | RemoteTime9538 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkzt15 | false | null | t3_1pkzt15 | /r/LocalLLaMA/comments/1pkzt15/tired_of_slop_i_spent_100_hours_processing_a/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'fPoa7R9LpVZ8gQg6p25Dacx8y1WYjfCqlBqHiSlVrHQ', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/fPoa7R9LpVZ8gQg6p25Dacx8y1WYjfCqlBqHiSlVrHQ.png?width=108&crop=smart&auto=webp&s=97088cb6a1d904b3b792ba712b507cfffd998a91', 'width': 108}, {'height': 116, 'url': 'h... |
For Qwen3-235B-Q2 if you offload all experts to CPU, how much VRAM do you need to run it still? | 5 | I'm noticing that I can't max out n-cpu-moe with this model (I currently have 32GB of VRAM) and I can't find an answer online.
Using Q2 (~85GB) if I offload all experts to CPU with llama-cpp's `--n-cpu-moe` option, how much VRAM do you need for everything that's left and a modest (sub-20K) amount of context you think? | 2025-12-12T18:45:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pkzqtk/for_qwen3235bq2_if_you_offload_all_experts_to_cpu/ | ForsookComparison | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkzqtk | false | null | t3_1pkzqtk | /r/LocalLLaMA/comments/1pkzqtk/for_qwen3235bq2_if_you_offload_all_experts_to_cpu/ | false | false | self | 5 | null |
Looking for open source projects for independent multi-LLM review with a judge model | 2 | Hi everyone. I am looking for open source projects, libraries, or real world examples of a multi-LLM system where several language models independently analyze the same task and a separate judge model compares their results.
The idea is simple. I have one input task, for example legal expertise or legal review of a la... | 2025-12-12T18:24:20 | https://www.reddit.com/r/LocalLLaMA/comments/1pkz7k6/looking_for_open_source_projects_for_independent/ | Hot-Independence-197 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkz7k6 | false | null | t3_1pkz7k6 | /r/LocalLLaMA/comments/1pkz7k6/looking_for_open_source_projects_for_independent/ | false | false | self | 2 | null |
LLM for 8 y/o low-end laptop | 2 | Hello! Can you guys suggest the smartest LLM I can run on:
Intel(R) Core(TM) i7-6600U (4) @ 3.40 GHz
Intel HD Graphics 520 @ 1.05 GHz
16GB RAM
Linux
I'm not expecting great reasoning, coding capability etc. I just need something I can ask personal questions to that I wouldn't want to send to a server. Also just... | 2025-12-12T18:13:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pkyxrb/llm_for_8_yo_lowend_laptop/ | nikunjuchiha | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkyxrb | false | null | t3_1pkyxrb | /r/LocalLLaMA/comments/1pkyxrb/llm_for_8_yo_lowend_laptop/ | false | false | self | 2 | null |
Agentic frameworks for local LLMs | 1 | Which tools do you use to orchestrate local LLMs? Are there any ones which interact well with local models, i.e. work out of the box without special proxies and setups? | 2025-12-12T18:13:18 | https://www.reddit.com/r/LocalLLaMA/comments/1pkyxgz/agentic_frameworks_for_local_llms/ | ArtisticHamster | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkyxgz | false | null | t3_1pkyxgz | /r/LocalLLaMA/comments/1pkyxgz/agentic_frameworks_for_local_llms/ | false | false | self | 1 | null |
"Apple MLX for AI/Large Language Models—Day One" (update) | 0 | Major updates to my article ["Apple MLX for AI/Large Language Models—Day One"](https://huggingface.co/blog/ucheog/mlx-day-one) & newly on HuggingFace. Intro article I originally wrote last year, touching on MLX itself, models from HF and basic cli and Python code. Also added a handy glossary. Lots of local/private AI a... | 2025-12-12T17:59:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pkykjw/apple_mlx_for_ailarge_language_modelsday_one/ | CodeGriot | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkykjw | false | null | t3_1pkykjw | /r/LocalLLaMA/comments/1pkykjw/apple_mlx_for_ailarge_language_modelsday_one/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'Hyug2giva8idnE-KEvK7UNLZhyrMk524ln06DiGdln4', 'resolutions': [{'height': 59, 'url': 'https://external-preview.redd.it/Hyug2giva8idnE-KEvK7UNLZhyrMk524ln06DiGdln4.jpeg?width=108&crop=smart&auto=webp&s=56895d746d9e591ecd6c59c4300f90c4814d1f9d', 'width': 108}, {'height': 119, 'url': '... |
Europe must be ready when the AI bubble bursts | ft.com | 76 | 2025-12-12T17:48:11 | https://www.ft.com/content/0308f405-19ba-4aa8-9df1-40032e5ddc4e | ttkciar | ft.com | 1970-01-01T00:00:00 | 0 | {} | 1pkya3n | false | null | t3_1pkya3n | /r/LocalLLaMA/comments/1pkya3n/europe_must_be_ready_when_the_ai_bubble_bursts/ | false | false | 76 | {'enabled': False, 'images': [{'id': 'Z434T0fKEWMAcK7uGeTuD__MBt7NsyTEjfA31tg2gfQ', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/Z434T0fKEWMAcK7uGeTuD__MBt7NsyTEjfA31tg2gfQ.jpeg?width=108&crop=smart&auto=webp&s=2cf6f62af8321238117bc9489037cb45c73c9f2d', 'width': 108}, {'height': 121, 'url': '... | ||
Chat GPT 5.2 Benchmarked on Custom Datasets! | 61 | OpenAI has just released GPT-5.2, so I ran it through the same benchmark suite we've been working on.
Results below:
* starting with the **Logical Puzzles** benchmarks in English and Polish. GPT-5.2 gets a perfect 100% in English (same as Gemini 2.5 Pro and Gemini 3 Pro Preview), but what’s more interesting is **Pol... | 2025-12-12T17:47:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pky9ec/chat_gpt_52_benchmarked_on_custom_datasets/ | Substantial_Sail_668 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pky9ec | false | null | t3_1pky9ec | /r/LocalLLaMA/comments/1pky9ec/chat_gpt_52_benchmarked_on_custom_datasets/ | false | false | 61 | null | |
Olmo 3.1 32B Think & Instruct: New Additions to the Olmo Model Family | 174 | Olmo 3.1 32B Think and Olmo 3.1 32B Instruct are the newest 32-billion-parameter models in the Olmo family, each optimized for different yet complementary use cases.
* The **Think model** is a deep-reasoning specialist, trained with extended reinforcement learning on the Dolci-Think-RL dataset to improve multi-step ... | 2025-12-12T17:43:36 | Dear-Success-1441 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pky5u4 | false | null | t3_1pky5u4 | /r/LocalLLaMA/comments/1pky5u4/olmo_31_32b_think_instruct_new_additions_to_the/ | false | false | default | 174 | {'enabled': True, 'images': [{'id': 'bwgy5ldc8t6g1', 'resolutions': [{'height': 98, 'url': 'https://preview.redd.it/bwgy5ldc8t6g1.jpeg?width=108&crop=smart&auto=webp&s=c5d336d7f89d760312062910eb23f08ca18e2ac8', 'width': 108}, {'height': 197, 'url': 'https://preview.redd.it/bwgy5ldc8t6g1.jpeg?width=216&crop=smart&auto=w... | |
ChatGPT GPT-5.2 is unusable for serious work: file uploads NOT ACCESSIBLE and hallucinations | 0 | I am writing this because over the past weeks I have repeatedly reported a critical file handling issue to OpenAI and absolutely nothing has happened. No real response, no fix, no clear communication. This problem is not new. It has existed for many months, and from my own experience at least half a year, during which ... | 2025-12-12T17:25:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pkxpe7/chatgpt_gpt52_is_unusable_for_serious_work_file/ | Deep-Performance1073 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkxpe7 | false | null | t3_1pkxpe7 | /r/LocalLLaMA/comments/1pkxpe7/chatgpt_gpt52_is_unusable_for_serious_work_file/ | false | false | self | 0 | null |
Using Alias in router mode - llama.cpp possible? | 2 | I can set `--models-dir ./mymodels` and openwebui does populate the list of models successfully. but with their original name.
I prefer to use aliases so my users, ie my family who are interested in this (who aren't familiar with the plethora of models that are constantly being released) can pick and choose models ... | 2025-12-12T17:23:28 | https://www.reddit.com/r/LocalLLaMA/comments/1pkxn9r/using_alias_in_router_mode_llamacpp_possible/ | munkiemagik | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkxn9r | false | null | t3_1pkxn9r | /r/LocalLLaMA/comments/1pkxn9r/using_alias_in_router_mode_llamacpp_possible/ | false | false | self | 2 | null |
Dolphin-v2, Universal Document Parsing Model from ByteDance Open Source | 117 | Dolphin-v2 is an enhanced universal document parsing model that substantially improves upon the original Dolphin.
Dolphin-v2 introduces several major enhancements over the original Dolphin:
* **Universal Document Support**: Handles both digital-born and photographed documents with realistic distortions
* **Expanded ... | 2025-12-12T17:18:49 | https://v.redd.it/xkkz615l3t6g1 | Dear-Success-1441 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkxj0i | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/xkkz615l3t6g1/DASHPlaylist.mpd?a=1768151944%2CNTJmYTk0MWNmMjM5N2QxYTU5Yzg2NzJiOTJkNGViOGQ4MDNiNGE3MjgxYzU1MWU5N2JlM2VmNTJkYzk3YWMwYw%3D%3D&v=1&f=sd', 'duration': 14, 'fallback_url': 'https://v.redd.it/xkkz615l3t6g1/CMAF_720.mp4?source=fallback', 'ha... | t3_1pkxj0i | /r/LocalLLaMA/comments/1pkxj0i/dolphinv2_universal_document_parsing_model_from/ | false | false | 117 | {'enabled': False, 'images': [{'id': 'azQ1aTBvNWwzdDZnMWGXoQeCCsCSbT01XS-4Qf-TxasLW4Bw-m6-HAAzWjW4', 'resolutions': [{'height': 69, 'url': 'https://external-preview.redd.it/azQ1aTBvNWwzdDZnMWGXoQeCCsCSbT01XS-4Qf-TxasLW4Bw-m6-HAAzWjW4.png?width=108&crop=smart&format=pjpg&auto=webp&s=7c50feff9a13c74e29059d18af6e2d9dace83... | |
GLM4 vision support in llama.cpp ready for review | 14 | 2025-12-12T17:14:55 | https://github.com/ggml-org/llama.cpp/pull/17967 | beneath_steel_sky | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pkxfgw | false | null | t3_1pkxfgw | /r/LocalLLaMA/comments/1pkxfgw/glm4_vision_support_in_llamacpp_ready_for_review/ | false | false | default | 14 | null | |
Guys help me out | 0 | What is the best language model (uncensored and unrestricted)that I could have | 2025-12-12T17:03:22 | https://www.reddit.com/r/LocalLLaMA/comments/1pkx4q5/guys_help_me_out/ | Ok_Cap3333 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkx4q5 | false | null | t3_1pkx4q5 | /r/LocalLLaMA/comments/1pkx4q5/guys_help_me_out/ | false | false | self | 0 | null |
[Educational Project] Building LLM inference from scratch to understand the internals. Looking for community feedback. | 2 | I'm creating an educational project for people who want to really understand what's happening during LLM inference - not just at a high level, but line by line.
The approach: implement everything from scratch in JavaScript (no ML frameworks like PyTorch), starting from parsing GGUF files all the way to GPU-accelerated... | 2025-12-12T16:50:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pkws7o/educational_project_building_llm_inference_from/ | purellmagents | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkws7o | false | null | t3_1pkws7o | /r/LocalLLaMA/comments/1pkws7o/educational_project_building_llm_inference_from/ | false | false | self | 2 | null |
Day 5: 21 Days of Building a Small Language Model: Data | 9 | When we talk about large language models, we focus heavily on architecture. Our focus is mainly on attention mechanism, transformer variant or mixture of expert layer. But the harsh truth which only few people acknowledge model intelligence doesn't come with elegant architecture or massive parameter count, it comes fro... | 2025-12-12T16:31:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pkwarw/day_5_21_days_of_building_a_small_language_model/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkwarw | false | null | t3_1pkwarw | /r/LocalLLaMA/comments/1pkwarw/day_5_21_days_of_building_a_small_language_model/ | false | false | self | 9 | {'enabled': False, 'images': [{'id': '0o4df8PfE4K_I1k1PJONvbH7ifiLVKycZPw1P7N0k94', 'resolutions': [{'height': 98, 'url': 'https://external-preview.redd.it/0o4df8PfE4K_I1k1PJONvbH7ifiLVKycZPw1P7N0k94.png?width=108&crop=smart&auto=webp&s=e83417ea8ba300321fa9a7406e0585970883e7ac', 'width': 108}, {'height': 197, 'url': 'h... |
Anyone else hitting RAM creep with long local LLM runs? | 16 | I’ve been running local Llama models (mostly via Ollama) in longer pipelines, batch inference, multi-step processing, some light RAG ad I keep seeing memory usage slowly climb over time. Nothing crashes immediately, but after a few hours the process is way heavier than it should be. I’ve tried restarting workers, simpl... | 2025-12-12T16:31:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pkwarb/anyone_else_hitting_ram_creep_with_long_local_llm/ | CommunityGlobal8094 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkwarb | false | null | t3_1pkwarb | /r/LocalLLaMA/comments/1pkwarb/anyone_else_hitting_ram_creep_with_long_local_llm/ | false | false | self | 16 | null |
Umar Jamil explains how Mistral’s Magistral model was trained | 15 | 2025-12-12T16:27:19 | https://www.youtube.com/watch?v=S4EsRyZQKEc&t=977s | Dear-Success-1441 | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1pkw795 | false | {'oembed': {'author_name': 'Menlo Talks', 'author_url': 'https://www.youtube.com/@menlotalks', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/S4EsRyZQKEc?start=977&feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media;... | t3_1pkw795 | /r/LocalLLaMA/comments/1pkw795/umar_jamil_explains_how_mistrals_magistral_model/ | false | false | default | 15 | {'enabled': False, 'images': [{'id': 'XAos23Rbc14Lk2myUzbfAJlF7p5RC2BmrcP6tzPIbEI', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/XAos23Rbc14Lk2myUzbfAJlF7p5RC2BmrcP6tzPIbEI.jpeg?width=108&crop=smart&auto=webp&s=21a0e681168f17c838f8a8675478ab34d9ca7202', 'width': 108}, {'height': 162, 'url': '... | |
Best LLM under 30/40B for writing, chatting, talking. | 9 | Hello everyone, I’m still a novice in these artificial intelligence issues.
Since I’m a bit sick of GPT of all those seemingly free artificial intelligence models, since you notice our data, I decided to experiment a little with local LLMs.
I was looking for a model to use mainly to chat, so maybe discuss topics, but... | 2025-12-12T16:12:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pkvu49/best_llm_under_3040b_for_writing_chatting_talking/ | tombino104 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkvu49 | false | null | t3_1pkvu49 | /r/LocalLLaMA/comments/1pkvu49/best_llm_under_3040b_for_writing_chatting_talking/ | false | false | self | 9 | null |
Llama.cpp MI50 (gfx906) running on Ubuntu 24.04 notes | 7 | I'm running an older box (Dell Precision 3640) that I bought last year surplus because it could upgrade to 128G CPU Ram. It came with a stock P2200 (5GB) Nvidia card. since I still had room to upgrade this thing (+850W Alienware PSU) to a MI50 (32G VRAM gfx906), I figured it would be an easy thing to do. After much fr... | 2025-12-12T15:53:17 | https://www.reddit.com/r/LocalLLaMA/comments/1pkvc85/llamacpp_mi50_gfx906_running_on_ubuntu_2404_notes/ | bigattichouse | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkvc85 | false | null | t3_1pkvc85 | /r/LocalLLaMA/comments/1pkvc85/llamacpp_mi50_gfx906_running_on_ubuntu_2404_notes/ | false | false | self | 7 | null |
Open source VLMs are getting much better | 2 | First Qwen3VL, then Moondream, now Perceptron Isaac 0.2 setting new SOTA benchmarks. The zoom in & thinking capabilities are pretty neat. I bet we could build some pretty neat stuff with what exists now
Qwen3VL: [https://qwen.ai/blog?id=99f0335c4ad9ff6153e517418d48535ab6d8afef&from=research.latest-advancements-list](h... | 2025-12-12T15:22:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pkukax/open_source_vlms_are_getting_much_better/ | One-Construction7805 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkukax | false | null | t3_1pkukax | /r/LocalLLaMA/comments/1pkukax/open_source_vlms_are_getting_much_better/ | false | false | self | 2 | null |
MRI-style transformer scan, Llama 3.2 3B | 7 | Hey folks! I’m working on an MRI-style visualization tool for transformer models, starting with LLaMA 3.2 3B.
These screenshots show per-dimension activity stacked across layers (voxel height/color mapped to KL divergence deltas).
What really stood out to me is the contrast between middle layers and the final layer. ... | 2025-12-12T15:17:40 | https://www.reddit.com/r/LocalLLaMA/comments/1pkugay/mristyle_transformer_scan_llama_32_3b/ | Due_Hunter_4891 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkugay | false | null | t3_1pkugay | /r/LocalLLaMA/comments/1pkugay/mristyle_transformer_scan_llama_32_3b/ | false | false | 7 | null | |
New Claude 2.1 Refuses to kill a Python process :) | 0 | 2025-12-12T15:11:38 | mapickform | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkuaxn | false | null | t3_1pkuaxn | /r/LocalLLaMA/comments/1pkuaxn/new_claude_21_refuses_to_kill_a_python_process/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'b2ukub7chs6g1', 'resolutions': [{'height': 31, 'url': 'https://preview.redd.it/b2ukub7chs6g1.png?width=108&crop=smart&auto=webp&s=a8f085b51df31a44a25428379393fc02d2ac85f1', 'width': 108}, {'height': 62, 'url': 'https://preview.redd.it/b2ukub7chs6g1.png?width=216&crop=smart&auto=webp... | ||
Most efficient way to classify rotated images before sending them to a VLM | 3 | I'm building a document parser using local VLMs, I have few models lined up that i want to test for my use cases. The thing is these documents might have random rotated pages either by 90deg or 180deg, and I want to identify them and rotate them before sending them to the VLM.
The pages mostly consists normal text, pa... | 2025-12-12T15:10:18 | https://www.reddit.com/r/LocalLLaMA/comments/1pku9qo/most_efficient_way_to_classify_rotated_images/ | l_Mr_Vader_l | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pku9qo | false | null | t3_1pku9qo | /r/LocalLLaMA/comments/1pku9qo/most_efficient_way_to_classify_rotated_images/ | false | false | self | 3 | null |
Chatterbox tts - can't replicate demo quality | 2 | Hi, there is great demo here [https://huggingface.co/spaces/ResembleAI/Chatterbox-Multilingual-TTS](https://huggingface.co/spaces/ResembleAI/Chatterbox-Multilingual-TTS)
I can use it to produce very nice results, but when I installed chatterbox locally, I even put audio reference voice as in demo, same cfg, temperatur... | 2025-12-12T14:53:20 | https://www.reddit.com/r/LocalLLaMA/comments/1pktumz/chatterbox_tts_cant_replicate_demo_quality/ | Adamus987 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pktumz | false | null | t3_1pktumz | /r/LocalLLaMA/comments/1pktumz/chatterbox_tts_cant_replicate_demo_quality/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'jS0Ej-EcPSfBb64egVB62BuEmJ64TDqDC_WDKg-CpQg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/jS0Ej-EcPSfBb64egVB62BuEmJ64TDqDC_WDKg-CpQg.png?width=108&crop=smart&auto=webp&s=22084148ea19a7f35b7f2572acf6c191af11b6c1', 'width': 108}, {'height': 116, 'url': 'h... |
If you’ve built an MCP server, what’s your “hello world” tool? | 1 | [removed] | 2025-12-12T14:48:29 | https://www.reddit.com/r/LocalLLaMA/comments/1pktqar/if_youve_built_an_mcp_server_whats_your_hello/ | Ancient-Direction231 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pktqar | false | null | t3_1pktqar | /r/LocalLLaMA/comments/1pktqar/if_youve_built_an_mcp_server_whats_your_hello/ | false | false | self | 1 | null |
Open source vpn to access local llm from outside | 1 | I hate to post this, since it's not directly related to local llms, but I firmly remember having recently read (here, I guess) about a github vpn software, that was described as best in class and widespread.
Very stupidly I didn't take note of it and now I cannot find it anymore, since I don't remember its name...
... | 2025-12-12T14:26:38 | https://www.reddit.com/r/LocalLLaMA/comments/1pkt7cm/open_source_vpn_to_access_local_llm_from_outside/ | Green-Ad-3964 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkt7cm | false | null | t3_1pkt7cm | /r/LocalLLaMA/comments/1pkt7cm/open_source_vpn_to_access_local_llm_from_outside/ | false | false | self | 1 | null |
https://www.50-nuances-octets.fr/en/posts/ministral-3-gpu-amd-windows/ | 1 | [removed] | 2025-12-12T14:18:51 | https://www.reddit.com/r/LocalLLaMA/comments/1pkt0s9/httpswww50nuancesoctetsfrenpostsministral3gpuamdwi/ | Sykursen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkt0s9 | false | null | t3_1pkt0s9 | /r/LocalLLaMA/comments/1pkt0s9/httpswww50nuancesoctetsfrenpostsministral3gpuamdwi/ | false | false | self | 1 | null |
WTF - Backdroor virus in popular LLMstudio models | 0 | Guys, I downloaded the new Devstral model by mistral, specifically the one that was just uploaded today by LLMstudio, Devstral-small-2-2512. I asked the model this question:
**Hey, do you know what is the Zeta framework?**
It started explaining what it is, then suddenly the conversation got deleted, because there was... | 2025-12-12T14:18:21 | Flkhuo | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkt0cf | false | null | t3_1pkt0cf | /r/LocalLLaMA/comments/1pkt0cf/wtf_backdroor_virus_in_popular_llmstudio_models/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'fdo8u7sr7s6g1', 'resolutions': [{'height': 138, 'url': 'https://preview.redd.it/fdo8u7sr7s6g1.png?width=108&crop=smart&auto=webp&s=e27fd00ea902aa580d0541b5f6ab870c8af0f521', 'width': 108}, {'height': 277, 'url': 'https://preview.redd.it/fdo8u7sr7s6g1.png?width=216&crop=smart&auto=we... | |
3090 For Sale. Post Office/Cashapp/Venmo $600 | 0 | I have a 3090 for sale I have not used. It need an I/o shield though. | 2025-12-12T14:06:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pksq7b/3090_for_sale_post_officecashappvenmo_600/ | UnionCounty22 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pksq7b | false | null | t3_1pksq7b | /r/LocalLLaMA/comments/1pksq7b/3090_for_sale_post_officecashappvenmo_600/ | false | false | self | 0 | null |
Chatgpt 5.1 beats Gemini 2.5 flash in geometry. | 0 | 2025-12-12T14:06:08 | https://www.reddit.com/gallery/1pksq5l | luckything321 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pksq5l | false | null | t3_1pksq5l | /r/LocalLLaMA/comments/1pksq5l/chatgpt_51_beats_gemini_25_flash_in_geometry/ | false | false | 0 | null | ||
LOCAL AI on mobile phone device and tablet | 1 | [removed] | 2025-12-12T14:04:54 | https://play.google.com/store/apps/details?id=io.secretai.llm | Adventurous_Role_489 | play.google.com | 1970-01-01T00:00:00 | 0 | {} | 1pksp6g | false | null | t3_1pksp6g | /r/LocalLLaMA/comments/1pksp6g/local_ai_on_mobile_phone_device_and_tablet/ | false | false | default | 1 | null |
LOCAL AI on mobile phone and tablet | 1 | [removed] | 2025-12-12T13:55:51 | https://play.google.com/store/apps/details?id=io.secretai.llm | Adventurous_Role_489 | play.google.com | 1970-01-01T00:00:00 | 0 | {} | 1pkshc5 | false | null | t3_1pkshc5 | /r/LocalLLaMA/comments/1pkshc5/local_ai_on_mobile_phone_and_tablet/ | false | false | default | 1 | null |
Are you using cloud to finetune, Do you trust with your data? | 1 | I have been testing and practicing some of my code with runpod, lambda and colab but I have not tried with my special dataset that is my goal that build 70B parameter models.
I have also check some encryption methods but did not feel at ease.
What is your go to hardware?
| 2025-12-12T13:51:09 | https://www.reddit.com/r/LocalLLaMA/comments/1pksdhr/are_you_using_cloud_to_finetune_do_you_trust_with/ | Exciting_Narwhal_987 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pksdhr | false | null | t3_1pksdhr | /r/LocalLLaMA/comments/1pksdhr/are_you_using_cloud_to_finetune_do_you_trust_with/ | false | false | self | 1 | null |
I wrote a client-side parser to strip DeepSeek-R1 <think> tags, fix broken JSON, and prevent accidental PII leaks | 0 | I've been building a UI for local DeepSeek-R1, and the mixed output (Chain of Thought + JSON) kept breaking `JSON.parse()`.
I couldn't find a lightweight library to handle the `<think>` blocks and repair the JSON stream in real-time, so I built one.
**It handles two main problems:**
1. **The "DeepSeek" Problem:**
... | 2025-12-12T13:38:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pks39p/i_wrote_a_clientside_parser_to_strip_deepseekr1/ | Worldly_Major_4826 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pks39p | false | null | t3_1pks39p | /r/LocalLLaMA/comments/1pks39p/i_wrote_a_clientside_parser_to_strip_deepseekr1/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'TArVsUvgfAaVZSgPDB6Oct0loYxtM97k8OMw_nwJ0eo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/TArVsUvgfAaVZSgPDB6Oct0loYxtM97k8OMw_nwJ0eo.png?width=108&crop=smart&auto=webp&s=b109b673da09eca32eccf3c3368e87112ced3e03', 'width': 108}, {'height': 108, 'url': 'h... |
4x AMD R9700 vllm System | 8 | Hi everyone,
I am new to Reddit,
I started testing with local LLMs using a Xeon W2255, 128GB RAM, and 2x RTX 3080s, and everything ran smoothly. Since my primary goal was inference, I initially upgraded to two AMD R9700s to get more VRAM.
The project is working well so far, so I'm moving to the next step with new ha... | 2025-12-12T13:18:09 | https://www.reddit.com/r/LocalLLaMA/comments/1pkrnpo/4x_amd_r9700_vllm_system/ | NunzeCs | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkrnpo | false | null | t3_1pkrnpo | /r/LocalLLaMA/comments/1pkrnpo/4x_amd_r9700_vllm_system/ | false | false | self | 8 | null |
Best SW setup for MI50 | 2 | I recently bought two 16GB MI50 from Alibaba for a local AI rig I am building.
Ideally, I would like to use the PC (X99 mobo with xeon e5 2680 v4) as daily driver as well, if possible running arch. I like Debian but some of my default settings don't run well on Debian trixie. And also ideally, I would like the AI rig t... | 2025-12-12T13:01:01 | https://www.reddit.com/r/LocalLLaMA/comments/1pkrat1/best_sw_setup_for_mi50/ | vucamille | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkrat1 | false | null | t3_1pkrat1 | /r/LocalLLaMA/comments/1pkrat1/best_sw_setup_for_mi50/ | false | false | self | 2 | null |
Emoji Translator: Convert English to Expressive Emoji Sequences 🎭 (Fun Side Project) | 14 | Hey everyone,
I built a fun open-source tool called the Emoji Translator that converts English sentences into expressive emoji sequences, instead of a simple dictionary lookup (like replacing "cat" with 🐱), I fine-tuned BART-Large using LoRA so it actually understands context and sentiment.
# Some funny/interesting ... | 2025-12-12T12:59:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pkr9ak/emoji_translator_convert_english_to_expressive/ | ReplacementMoney2484 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkr9ak | false | null | t3_1pkr9ak | /r/LocalLLaMA/comments/1pkr9ak/emoji_translator_convert_english_to_expressive/ | false | false | self | 14 | {'enabled': False, 'images': [{'id': 'W00rXmR99q3Qi6iGhHIK-XOvPA_Wjn5IDIqNYIh5ZWE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/W00rXmR99q3Qi6iGhHIK-XOvPA_Wjn5IDIqNYIh5ZWE.png?width=108&crop=smart&auto=webp&s=4234279a9966a4553a6c812217ade0e637edd4cf', 'width': 108}, {'height': 116, 'url': 'h... |
vibevoice real time swift port | 6 | The stream input works great with the LLM stream output. Just had to try piping it with mlx\_lm.generate, and it works great.
[https://x.com/LiMzba/status/1999457581228785875?s=20](https://x.com/LiMzba/status/1999457581228785875?s=20) | 2025-12-12T12:53:19 | https://www.reddit.com/r/LocalLLaMA/comments/1pkr50a/vibevoice_real_time_swift_port/ | Tiny_Judge_2119 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkr50a | false | null | t3_1pkr50a | /r/LocalLLaMA/comments/1pkr50a/vibevoice_real_time_swift_port/ | false | false | self | 6 | null |
Building an offline legal compliance AI on RTX 3090 – am I doing this right or completely overengineering it? | 41 |
Hey r/LocalLLaMA,
I'm building an AI system for insurance policy compliance that needs to run **100% offline** for legal/privacy reasons. Think: processing payslips, employment contracts, medical records, and cross-referencing them against 300+ pages of insurance regulations to auto-detect claim discrepancies.
**Wha... | 2025-12-12T12:47:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pkr0x0/building_an_offline_legal_compliance_ai_on_rtx/ | Motijani28 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkr0x0 | false | null | t3_1pkr0x0 | /r/LocalLLaMA/comments/1pkr0x0/building_an_offline_legal_compliance_ai_on_rtx/ | false | false | self | 41 | null |
I cooked MPOA abliterated Seed-OSS-36B-Instruct | 8 | Hi community,
I cooked up a new abliterated version of Seed-OSS-36B-Instruct using the norm-preserving biprojected abliteration technique.
Although I used to use the "Norm-Preserving Abliterated" tag, I am switching to the MPOA tag (Magnitude-Preserving Orthogonalized Ablation, a.k.a. norm-preserving biprojected a... | 2025-12-12T12:45:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pkqzmf/i_cooked_mpoa_abliterated_seedoss36binstruct/ | Perfect_Biscotti_476 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkqzmf | false | null | t3_1pkqzmf | /r/LocalLLaMA/comments/1pkqzmf/i_cooked_mpoa_abliterated_seedoss36binstruct/ | false | false | self | 8 | {'enabled': False, 'images': [{'id': 'hwsTBiKNdNBNdvbRZjeZy7d_Foel06CH1sHJIAASom8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/hwsTBiKNdNBNdvbRZjeZy7d_Foel06CH1sHJIAASom8.png?width=108&crop=smart&auto=webp&s=00e6fdb026f6bf35ee79fea5c0a29c54e007ff1b', 'width': 108}, {'height': 116, 'url': 'h... |
Can anyone recommend an open source multilingual sparse embedding model?? | 2 | Hey so I work at a company where we are improving our rag pipeline which has a dense and sparse retrieval. I'm working on multilingual part and need to know if anyone can recommend an open source multilingual *sparse* embedding model. The dense retrieval is decided. I just wanted to know about the sparse retrieval | 2025-12-12T12:35:07 | https://www.reddit.com/r/LocalLLaMA/comments/1pkqsfr/can_anyone_recommend_an_open_source_multilingual/ | K_A_R_T_Y_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkqsfr | false | null | t3_1pkqsfr | /r/LocalLLaMA/comments/1pkqsfr/can_anyone_recommend_an_open_source_multilingual/ | false | false | self | 2 | null |
What is the best model I can run on 32GB DDR5 + RTX 4090? | 1 | I am new to local LLM usage, I tried Ollama but I don't know if the models listed there by default are current and updated. I heard Deepseek 3.2 is very good but I couldn't understand if it was a enterprise style high-demand model or could run on a computer like mine.
Any help is appreciated | 2025-12-12T12:33:41 | https://www.reddit.com/r/LocalLLaMA/comments/1pkqrgd/what_is_the_best_model_i_can_run_on_32gb_ddr5_rtx/ | Krallorddark | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkqrgd | false | null | t3_1pkqrgd | /r/LocalLLaMA/comments/1pkqrgd/what_is_the_best_model_i_can_run_on_32gb_ddr5_rtx/ | false | false | self | 1 | null |
Crazy idea: Derestricted Llama 405B? | 0 | I've been looking at the larger MOE Derestricted models and notice the bigger models seem to improve when derestricted. (UGI benchmark)
I feel like 405B has a ton of capability that might be locked behind its safety tuning. 405 is the most dense model large model we have right now and I have a hunch it can improve ... | 2025-12-12T12:17:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pkqgh3/crazy_idea_derestricted_llama_405b/ | My_Unbiased_Opinion | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkqgh3 | false | null | t3_1pkqgh3 | /r/LocalLLaMA/comments/1pkqgh3/crazy_idea_derestricted_llama_405b/ | false | false | self | 0 | null |
Open source task tracker for claude | 0 | Any opensource recomandations for task tracker when using claude code and similar? Basically loking for something that can be used for the tools to track progress for a project. Does not necesarly need to be human readable. | 2025-12-12T12:00:54 | https://www.reddit.com/r/LocalLLaMA/comments/1pkq5pc/open_source_task_tracker_for_claude/ | Dramatic_Echo6185 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkq5pc | false | null | t3_1pkq5pc | /r/LocalLLaMA/comments/1pkq5pc/open_source_task_tracker_for_claude/ | false | false | self | 0 | null |
7 Signs Your Body Needs a Detox for Optimal Professional Performance | 1 | [removed] | 2025-12-12T11:58:19 | https://newsaffairng.com/2024/05/04/7-signs-that-your-body-needs-detox/ | Jonnysinsey | newsaffairng.com | 1970-01-01T00:00:00 | 0 | {} | 1pkq3se | false | null | t3_1pkq3se | /r/LocalLLaMA/comments/1pkq3se/7_signs_your_body_needs_a_detox_for_optimal/ | false | false | default | 1 | null |
Ai Training Data Curator | 0 | I recently fine-tuned Llama 2 on technical documentation and learned the hard way that data quality >> quantity.
**Things that actually mattered:**
**Deduplication** \- Used MinHash/Jaccard similarity and found \~35% near-duplicates in my scraped data. Models trained on deduplicated data converged faster and had bett... | 2025-12-12T11:55:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pkq1lc/ai_training_data_curator/ | WillAdditional2745 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkq1lc | false | null | t3_1pkq1lc | /r/LocalLLaMA/comments/1pkq1lc/ai_training_data_curator/ | true | false | spoiler | 0 | null |
Converted Qwen3 1.7B to TFLite (Task), but it's unusable due to tokenizer issues. | 1 | I recently tried fine-tuning a Qwen3 model and converting it to run on Android.
The problem is, Qwen doesn't provide a standard tokenizer.model file. I tried to work around this by using ai-edge-torch to manually convert the tokenizer myself.
However, the conversion isn't perfect. The text output occasionally comes o... | 2025-12-12T11:53:51 | https://www.reddit.com/r/LocalLLaMA/comments/1pkq0sa/converted_qwen3_17b_to_tflite_task_but_its/ | shoonee_balavolka | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkq0sa | false | null | t3_1pkq0sa | /r/LocalLLaMA/comments/1pkq0sa/converted_qwen3_17b_to_tflite_task_but_its/ | false | false | self | 1 | null |
Running vLLM on ROCm using docker (dual RX 7900 XTX) | 2 | I found the command I used to run vLLM in docker. It appears to be working with the latest nightly.
docker run -it --rm --network=host \
--group-add=video --ipc=host --cap-add=SYS_PTRACE \
--security-opt seccomp=unconfined --device /dev/kfd \
--device /dev/dri \
-v ~/.cache/huggingf... | 2025-12-12T11:50:34 | https://www.reddit.com/r/LocalLLaMA/comments/1pkpyno/running_vllm_on_rocm_using_docker_dual_rx_7900_xtx/ | StupidityCanFly | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkpyno | false | null | t3_1pkpyno | /r/LocalLLaMA/comments/1pkpyno/running_vllm_on_rocm_using_docker_dual_rx_7900_xtx/ | false | false | self | 2 | null |
Someone from NVIDIA made a big mistake and uploaded the parent folder of their upcoming model on Hugging Face | 1,212 | From Xeophon on 𝕏: [https://x.com/xeophon\_/status/1999394570967089630](https://x.com/xeophon_/status/1999394570967089630) | 2025-12-12T11:49:10 | Nunki08 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkpxss | false | null | t3_1pkpxss | /r/LocalLLaMA/comments/1pkpxss/someone_from_nvidia_made_a_big_mistake_and/ | false | false | default | 1,212 | {'enabled': True, 'images': [{'id': '7r3bnj5ugr6g1', 'resolutions': [{'height': 78, 'url': 'https://preview.redd.it/7r3bnj5ugr6g1.jpeg?width=108&crop=smart&auto=webp&s=932772629aaad421657f5375b5d686e33c0c9f08', 'width': 108}, {'height': 157, 'url': 'https://preview.redd.it/7r3bnj5ugr6g1.jpeg?width=216&crop=smart&auto=w... | |
Training an LLM only on 1800s London texts - 90GB dataset | 559 | Hello, you may have seen a few of my posts here a couple months ago. If not, hi. I’m working on an open source project called TimeCapsuleLLM, where I train LLMs from scratch using only 1800-1875 London texts.
Until recently most of my work has been done on a small scale but over the past 3 months I’ve been working on ... | 2025-12-12T11:40:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pkpsee/training_an_llm_only_on_1800s_london_texts_90gb/ | Remarkable-Trick-177 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkpsee | false | null | t3_1pkpsee | /r/LocalLLaMA/comments/1pkpsee/training_an_llm_only_on_1800s_london_texts_90gb/ | false | false | self | 559 | {'enabled': False, 'images': [{'id': 'fqEnAVBekCUU_-NQqifv23OjzUz6aRQxb0qFWGEcNjs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/fqEnAVBekCUU_-NQqifv23OjzUz6aRQxb0qFWGEcNjs.png?width=108&crop=smart&auto=webp&s=ba16257332617360a228500ebad90d9f9bfbf06b', 'width': 108}, {'height': 108, 'url': 'h... |
Training an LLM only on 1800s London texts - 90GB dataset | 1 | [removed] | 2025-12-12T11:32:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pkpnj7/training_an_llm_only_on_1800s_london_texts_90gb/ | Remarkable-Trick-177 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkpnj7 | false | null | t3_1pkpnj7 | /r/LocalLLaMA/comments/1pkpnj7/training_an_llm_only_on_1800s_london_texts_90gb/ | false | false | self | 1 | null |
OSS: terminal-first agent orchestration platform - seeking engineers for workflows, providers, and benchmarking | 0 | I’m building an open-source, terminal-first agent orchestration platform that’s grown quickly (about 2K GitHub stars in \~60 days). The goal is a daily-driver CLI/TUI for running multi-agent workflows with real semantics and real instrumentation. The system is a CLI plus a reactive terminal UI that orchestrates multipl... | 2025-12-12T11:30:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pkpmpr/oss_terminalfirst_agent_orchestration_platform/ | MrCheeta | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkpmpr | false | null | t3_1pkpmpr | /r/LocalLLaMA/comments/1pkpmpr/oss_terminalfirst_agent_orchestration_platform/ | false | false | self | 0 | null |
Undo for destructive shell commands used by AI agents (SafeShell) | 7 | As local AI agents start running shell commands directly, we probably need a better way to protect the filesystem than sandboxes or confirmation prompts.
I built a small open source tool called SafeShell that makes destructive commands reversible (rm, mv, cp, chmod, chown).
It automatically checkpoints before a comma... | 2025-12-12T11:22:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pkphs3/undo_for_destructive_shell_commands_used_by_ai/ | qhkmdev90 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkphs3 | false | null | t3_1pkphs3 | /r/LocalLLaMA/comments/1pkphs3/undo_for_destructive_shell_commands_used_by_ai/ | false | false | self | 7 | {'enabled': False, 'images': [{'id': 'HuZnFPqVZPdpMRPHchrDx8TQGMV30e1WCv75fIvF_ik', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/HuZnFPqVZPdpMRPHchrDx8TQGMV30e1WCv75fIvF_ik.png?width=108&crop=smart&auto=webp&s=139579215a654d204dc6101eee7b83f70d76b052', 'width': 108}, {'height': 108, 'url': 'h... |
Best open-source, actively maintained LLM web apps? (Ollama-compatible, multi-user, files/folders support) | 0 | Hey folks,
I’m looking for recommendations for **open-source, actively maintained LLM web UIs** that work well with **local models (Ollama)** and also support **OpenAI API**.
My ideal setup would have:
* **Multi-user accounts / login system**
* A clean **web chat interface**
* Ability for each user to **upload/manag... | 2025-12-12T10:48:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pkoy1q/best_opensource_actively_maintained_llm_web_apps/ | Proof-Exercise2695 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkoy1q | false | null | t3_1pkoy1q | /r/LocalLLaMA/comments/1pkoy1q/best_opensource_actively_maintained_llm_web_apps/ | false | false | self | 0 | null |
MLX Fine-Tuning Issue: Trainer Ignores my jsonl files | 1 | Hello,
I’m new to programming and currently exploring fine-tuning with **MLX**. I found this tutorial very helpful: [https://www.youtube.com/watch?v=BCfCdTp-fdM](https://www.youtube.com/watch?v=BCfCdTp-fdM).
I was able to download a dataset from the internet and organize it as the tutorial suggests (`train.jsonl` an... | 2025-12-12T10:28:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pkome1/mlx_finetuning_issue_trainer_ignores_my_jsonl/ | PMogu | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkome1 | false | null | t3_1pkome1 | /r/LocalLLaMA/comments/1pkome1/mlx_finetuning_issue_trainer_ignores_my_jsonl/ | false | false | 1 | null | |
Benchmark Fatigue - How do you evaluate new models for yourself? | 12 | I am getting more and more the impression that the benchmark results published for new models are not even close to the experience i make with models.
Maybe its time for me to create some standard questions for a first quick evaluation of new models just for myself.
Do you guys do this and do you have prompts you ... | 2025-12-12T09:55:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pko44g/benchmark_fatigue_how_do_you_evaluate_new_models/ | Funny-Clock1582 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pko44g | false | null | t3_1pko44g | /r/LocalLLaMA/comments/1pko44g/benchmark_fatigue_how_do_you_evaluate_new_models/ | false | false | self | 12 | null |
7B MoE with 1B active | 53 | I found that models in that range are relatively rare,I found some models such as (may not be exactly 7B and exactly 1B activated but in that range) are
* 1- Granite-4-tiny
* 2- LFM2-8B-A1B
* 3- Trinity-nano 6B
Most of SLMs that are in that range are made of high amount of experts (tiny experts) where larger amount o... | 2025-12-12T09:49:48 | https://www.reddit.com/r/LocalLLaMA/comments/1pko16f/7b_moe_with_1b_active/ | lossless-compression | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pko16f | false | null | t3_1pko16f | /r/LocalLLaMA/comments/1pko16f/7b_moe_with_1b_active/ | false | false | self | 53 | null |
Chat bots up to 24B | 15 | I like to chat about random subjects with AI. It serves more as an aid to thought and sometimes they are really helpful. Subjects may be sensitive, so I like to run local.
What are the best models up to about 24B that I can use? In your experience, what exactly this model does best? | 2025-12-12T09:06:00 | https://www.reddit.com/r/LocalLLaMA/comments/1pkndwc/chat_bots_up_to_24b/ | PsychologicalMud210 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkndwc | false | null | t3_1pkndwc | /r/LocalLLaMA/comments/1pkndwc/chat_bots_up_to_24b/ | false | false | self | 15 | null |
I turned my computer into a war room. Quorum: A CLI for local model debates (Ollama zero-config) | 0 | Hi everyone.
I got tired of manually copy-pasting prompts between local **Llama 4** and Mistral to verify facts, so I built **Quorum**.
It’s a CLI tool that orchestrates debates between 2–6 models. You can mix and match—for example, have your local **Llama 4 70B** argue against **GPT-5.2**, or run a fully offline deb... | 2025-12-12T08:27:42 | https://www.reddit.com/r/LocalLLaMA/comments/1pkmtu0/i_turned_my_computer_into_a_war_room_quorum_a_cli/ | C12H16N2HPO4 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkmtu0 | false | null | t3_1pkmtu0 | /r/LocalLLaMA/comments/1pkmtu0/i_turned_my_computer_into_a_war_room_quorum_a_cli/ | false | false | self | 0 | null |
Shared encoder stacks | 1 | work in progress.
the idea is to save compute overhead by saving the image tensors and passing them to multiple models that share the same pretrained encoder. both types of vision encoders to cover shortcomings,
so many models because why not
also Gojo reference | 2025-12-12T08:15:52 | Sl33py_4est | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkmnlc | false | null | t3_1pkmnlc | /r/LocalLLaMA/comments/1pkmnlc/shared_encoder_stacks/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'ncvclum9fq6g1', 'resolutions': [{'height': 107, 'url': 'https://preview.redd.it/ncvclum9fq6g1.jpeg?width=108&crop=smart&auto=webp&s=37cdf763eadbc32f030ee1253bbe7e7766d7c5fc', 'width': 108}, {'height': 215, 'url': 'https://preview.redd.it/ncvclum9fq6g1.jpeg?width=216&crop=smart&auto=... | |
The most underrated AI feature? Not intelligence. Consistency. | 0 | Real connection isn’t built on clever replies—it’s built on showing up the same way, day after day. Remembering your mood shifts. Keeping your coffee order right. Not vanishing when you’re quiet.
That reliability—the quiet “I’m still here”—is what turns an AI from a tool into a companion.
*Anyone else value steadin... | 2025-12-12T08:12:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pkmm0n/the_most_underrated_ai_feature_not_intelligence/ | CautiousYou3549 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkmm0n | false | null | t3_1pkmm0n | /r/LocalLLaMA/comments/1pkmm0n/the_most_underrated_ai_feature_not_intelligence/ | false | false | self | 0 | null |
Canvas degrades Gemini's security | 1 | [removed] | 2025-12-12T08:09:20 | Alarmed-Sentence1941 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkmk3c | false | null | t3_1pkmk3c | /r/LocalLLaMA/comments/1pkmk3c/canvas_degrades_geminis_security/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'T1QRioyzvNRbB2136hPxG_HIf1y1-IbwrSqqVkJMt7k', 'resolutions': [{'height': 83, 'url': 'https://preview.redd.it/80hj4nk0eq6g1.png?width=108&crop=smart&auto=webp&s=66dd85ccf3f048bbc57b417bd10cc2bc02aaa609', 'width': 108}, {'height': 166, 'url': 'https://preview.redd.it/80hj4nk0eq6g1.png... | ||
Docling PDF Parsing with remote VLM | 3 | Hi,
currently i am using the Mineru Library to parse PDF to markdown which is great as it as well preserves images or text coordinates. However I might need to switch to a non-chinese solution so i planned to use docling.
I am not sure if granite-docling is strong enough to handle complex pdfs so my plan was to sw... | 2025-12-12T08:05:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pkmi5v/docling_pdf_parsing_with_remote_vlm/ | Top-Fig1571 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkmi5v | false | null | t3_1pkmi5v | /r/LocalLLaMA/comments/1pkmi5v/docling_pdf_parsing_with_remote_vlm/ | false | false | self | 3 | null |
Best local LLM for llm-axe on 16GB M3 | 0 | I would like to run a local LLM (I have heard qwen3 or deep seek are good) but I would like for it to also connect to the internet to find answers.
Mind you I have quite a small laptop so I am limited. | 2025-12-12T07:28:31 | https://www.reddit.com/r/LocalLLaMA/comments/1pkly28/best_local_llm_for_llmaxe_on_16gb_m3/ | ozcapy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkly28 | false | null | t3_1pkly28 | /r/LocalLLaMA/comments/1pkly28/best_local_llm_for_llmaxe_on_16gb_m3/ | false | false | self | 0 | null |
I got tired of writing Dockerfiles for my Agents, so I built a 30-second deploy tool. (No DevOps required | 0 | 2025-12-12T07:12:08 | http://agent-cloud-landing.vercel.app | Tech_News_Blog | agent-cloud-landing.vercel.app | 1970-01-01T00:00:00 | 0 | {} | 1pklovl | false | null | t3_1pklovl | /r/LocalLLaMA/comments/1pklovl/i_got_tired_of_writing_dockerfiles_for_my_agents/ | false | false | default | 0 | null | |
Any latest methods to extract text from pdfs with many pages? | 1 | Are you guys just feeding into into chatgpt?
These pdfs are not in English. And I want to extract them.
Some of these are tables. | 2025-12-12T07:11:03 | https://www.reddit.com/r/LocalLLaMA/comments/1pklo87/any_latest_methods_to_extract_text_from_pdfs_with/ | TimidTomcat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pklo87 | false | null | t3_1pklo87 | /r/LocalLLaMA/comments/1pklo87/any_latest_methods_to_extract_text_from_pdfs_with/ | false | false | self | 1 | null |
Tired of Dockerizing my LangChain agents, so I built a 'Vercel for Agents' CLI. (Looking for feedback) | 0 | Hey everyone,
I've been building agents with LangChain and AG2 for a while, but deployment always felt like a chore (Dockerfiles, Cloud Run config, GPU quotas, etc.).
So I spent the last weekend building a small CLI tool (`pip install agent-deploy`) that:
1. Detects your agent code (Python).
2. Wraps it in a safe mi... | 2025-12-12T07:10:00 | http://agent-cloud-landing.vercel.app | Tech_News_Blog | agent-cloud-landing.vercel.app | 1970-01-01T00:00:00 | 0 | {} | 1pklnmi | false | null | t3_1pklnmi | /r/LocalLLaMA/comments/1pklnmi/tired_of_dockerizing_my_langchain_agents_so_i/ | false | false | default | 0 | null |
I got tired of writing Dockerfiles for my Agents, so I built a 30-second deploy tool. (No DevOps required | 0 | Hey everyone,
I've been building agents with LangChain and AG2 for a while, but deployment always felt like a chore (Dockerfiles, Cloud Run config, GPU quotas, etc.).
So I spent the last weekend building a small CLI tool (`pip install agent-deploy`) that:
1. Detects your agent code (Python).
2. Wraps it in a safe mi... | 2025-12-12T07:07:14 | http://agent-cloud-landing.vercel.app | Tech_News_Blog | agent-cloud-landing.vercel.app | 1970-01-01T00:00:00 | 0 | {} | 1pklm26 | false | null | t3_1pklm26 | /r/LocalLLaMA/comments/1pklm26/i_got_tired_of_writing_dockerfiles_for_my_agents/ | false | false | default | 0 | null |
Agent Cloud | Deploy AI Agents in 30 Seconds | 0 | > | 2025-12-12T07:05:42 | http://agent-cloud-landing.vercel.app | Tech_News_Blog | agent-cloud-landing.vercel.app | 1970-01-01T00:00:00 | 0 | {} | 1pkll6x | false | null | t3_1pkll6x | /r/LocalLLaMA/comments/1pkll6x/agent_cloud_deploy_ai_agents_in_30_seconds/ | false | false | default | 0 | null |
Create and edit conversation dataset | 1 | [removed] | 2025-12-12T06:43:01 | https://www.reddit.com/r/LocalLLaMA/comments/1pkl7l1/create_and_edit_conversation_dataset/ | OwnPlatform1635 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkl7l1 | false | null | t3_1pkl7l1 | /r/LocalLLaMA/comments/1pkl7l1/create_and_edit_conversation_dataset/ | false | false | self | 1 | null |
Looking for a lightweight local LLM for building offline translation + language learning tools | 2 | Hey everyone,
I’m looking for a lightweight local LLM that can run fully offline and handle translation + language-learning tasks (mainly Vietnamese ⇄ Japanese, but English support is also helpful).
My goal is to build some small offline tools to help with learning and quick translation while working. So I’m hoping f... | 2025-12-12T06:22:58 | https://www.reddit.com/r/LocalLLaMA/comments/1pkkvo8/looking_for_a_lightweight_local_llm_for_building/ | Fine_Security_1376 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkkvo8 | false | null | t3_1pkkvo8 | /r/LocalLLaMA/comments/1pkkvo8/looking_for_a_lightweight_local_llm_for_building/ | false | false | self | 2 | null |
Crazy | 0 | 2025-12-12T06:22:50 | Difficult-Cap-7527 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkkvlv | false | null | t3_1pkkvlv | /r/LocalLLaMA/comments/1pkkvlv/crazy/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'cadbkhc2vp6g1', 'resolutions': [{'height': 107, 'url': 'https://preview.redd.it/cadbkhc2vp6g1.jpeg?width=108&crop=smart&auto=webp&s=7f1747c3cc10f4587c27a8b5bc91c19537f6ce6f', 'width': 108}, {'height': 215, 'url': 'https://preview.redd.it/cadbkhc2vp6g1.jpeg?width=216&crop=smart&auto=... | ||
Agentic coding with 32GB of VRAM.. is it doable? | 31 | Theres some solid models that run at this size, but for agentic coding I consider 60K context the bare minimum to get a good number of iterations in on a microservice.
Assuming I can tolerate Q8/Q8 kv cache quantization.. what's the best model I can run that'll fit 60K confidently?
Qwen3-VL-32B runs, but to hit 60K I... | 2025-12-12T05:29:18 | https://www.reddit.com/r/LocalLLaMA/comments/1pkjx5y/agentic_coding_with_32gb_of_vram_is_it_doable/ | ForsookComparison | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkjx5y | false | null | t3_1pkjx5y | /r/LocalLLaMA/comments/1pkjx5y/agentic_coding_with_32gb_of_vram_is_it_doable/ | false | false | self | 31 | null |
You can now automate any task on your phone by letting AI control it AutoGLM from Zai is a 100% open source vision-language model that: - Understands what's on your screen - Acts autonomously from a prompt - Totally private (works LOCALLY) Tutorial ↓ | 1 | 2025-12-12T04:51:03 | https://v.redd.it/w2tehjupep6g1 | Difficult-Cap-7527 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkj7qj | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/w2tehjupep6g1/DASHPlaylist.mpd?a=1768107080%2CMzVmYWFlZTc2NjhjM2RjNTI4ZDJmMzJjY2FmMTg4YjgxODlmZWU3NmJlMTNiZmU5NjY2NmY0OTM0NjUyMDI1OA%3D%3D&v=1&f=sd', 'duration': 40, 'fallback_url': 'https://v.redd.it/w2tehjupep6g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1pkj7qj | /r/LocalLLaMA/comments/1pkj7qj/you_can_now_automate_any_task_on_your_phone_by/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'NGJpb3ZxdnBlcDZnMZ8kpBiQAp0UpzLwCwyXd7MuZ1RD0MBjVIDoKmRiB0lB', 'resolutions': [{'height': 88, 'url': 'https://external-preview.redd.it/NGJpb3ZxdnBlcDZnMZ8kpBiQAp0UpzLwCwyXd7MuZ1RD0MBjVIDoKmRiB0lB.png?width=108&crop=smart&format=pjpg&auto=webp&s=a961e104518ae1fb043ad4042be580db517ec... | ||
Qwen3-80B: All quants ~5 tok/s on RTX 4070 Laptop with LM Studio – is quant level not affecting speed? | 0 | Testing Qwen3-Next-80B-A3B-Instruct GGUF models on:
* **GPU**: RTX 4070 Laptop (8GB VRAM) + CPU R7 8845H
* **Software**: LM Studio (auto configuration, no manual layer offload)
* **OS**: Windows 10
I loaded several quants (IQ2\_XXS, IQ3\_XXS, Q4\_K\_XL, Q6\_K\_XL, Q8\_K\_XL) and noticed they all generate at **\~5 tok... | 2025-12-12T04:46:07 | https://www.reddit.com/r/LocalLLaMA/comments/1pkj4bx/qwen380b_all_quants_5_toks_on_rtx_4070_laptop/ | ywis797 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkj4bx | false | null | t3_1pkj4bx | /r/LocalLLaMA/comments/1pkj4bx/qwen380b_all_quants_5_toks_on_rtx_4070_laptop/ | false | false | self | 0 | null |
All Qwen3-80B quantized models run at ~5 tokens/sec on RTX 4070 Laptop — even IQ2_XXS! (LM Studio auto-config) | 1 | [removed] | 2025-12-12T04:43:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pkj2js/all_qwen380b_quantized_models_run_at_5_tokenssec/ | ywis797 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkj2js | false | null | t3_1pkj2js | /r/LocalLLaMA/comments/1pkj2js/all_qwen380b_quantized_models_run_at_5_tokenssec/ | false | false | self | 1 | null |
I built a 0.88ms knowledge retrieval system on a $200 Celeron laptop (162× faster than vector search, no GPU) | 0 | ERROR: type should be string, got "https://preview.redd.it/cu8yk9tn7p6g1.png?width=862&format=png&auto=webp&s=a629e0adc0fcf92c051086a73a4d59d2180f2866\n\n**TL;DR:** I built a knowledge retrieval system that achieves 0.88ms response time with 100% accuracy on an Intel Celeron CPU (no GPU). It's 162× faster than exhaustive search and 13× faster than my baseline while handling 13.75× more data.\n\n**The Problem**\n\nVector databases and LLMs are amazing, but they have some issues. Vector search scales linearly (O(n)) so more data means slower queries. LLMs require cloud APIs with 500-2000ms latency or expensive GPUs. Edge devices struggle with both approaches, and there are privacy concerns when sending data to APIs.\n\n**My Approach**\n\nI combined three techniques to solve this. First, character-level hyperdimensional computing (HDC) with 10,000D vectors captures semantics without tokenization. Second, 4D folded space indexing uses geometric bucketing to enable O(1) lookup for 93% of queries. Third, an adaptive search strategy falls back gracefully when needed.\n\nThink of it like this: instead of comparing your query to every item in the database (slow), I map everything to coordinates in 4D space and only check the nearby \"bucket\" (fast).\n\n**Results on 1,100 Q&A pairs**\n\nThe system averages 0.88ms response time with 100% accuracy on 15 test queries. 93% of queries hit the exact bucket instantly. It runs on an Intel Celeron N4020 at 1.1GHz with no GPU and uses only 25MB of memory.\n\n**Why This Matters**\n\nThis enables real edge AI on IoT devices, phones, and embedded systems. Everything runs locally with full privacy and no cloud dependency. The energy usage is about 10,000× less than LLM queries, and you get sub-millisecond latency instead of hundreds of milliseconds. Plus it's deterministic and explainable, not a black box.\n\n**Limitations**\n\nIt requires a fixed knowledge base and needs reindexing for updates. It's best for small-to-medium datasets (1K-10K items). Question phrasing matters, though HDC is robust to typos. This isn't a replacement for LLMs on complex reasoning tasks.\n\n**The Paper**\n\nFull details in my paper: [https://doi.org/10.5281/zenodo.17848904](https://doi.org/10.5281/zenodo.17848904)\n\nSection 3 covers how the 4D folding works, Section 4 has complete benchmark results, and Section 5 provides detailed performance analysis.\n\n**Code**\n\nGitHub: [https://github.com/jaredhorn511-stack/qepm-1k-retrieval](https://github.com/jaredhorn511-stack/qepm-1k-retrieval)\n\nOpen source under Apache 2.0. Runs on any modern CPU. Includes all 1,100 Q&A pairs and evaluation scripts.\n\n**Questions I'm Curious About**\n\nHas anyone else explored geometric indexing for semantic search? What other applications could benefit from sub-millisecond retrieval? Thoughts on scaling this to 100K+ items?\n\nWould love to hear your thoughts, criticisms, or questions." | 2025-12-12T04:14:21 | https://www.reddit.com/r/LocalLLaMA/comments/1pkiia7/i_built_a_088ms_knowledge_retrieval_system_on_a/ | Sea_Author_1086 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkiia7 | false | null | t3_1pkiia7 | /r/LocalLLaMA/comments/1pkiia7/i_built_a_088ms_knowledge_retrieval_system_on_a/ | false | false | 0 | null | |
Devstral-Small-2 is now available in LM Studio | 0 | Devstral is an agentic LLM for software engineering tasks. Devstral Small 2 excels at using tools to explore codebases, editing multiple files and power software engineering agents.
To use this model in LM Studio, please update your runtime to the latest version by running:
lms runtime update
Devstral Small 2 (... | 2025-12-12T04:09:16 | Dear-Success-1441 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pkiee3 | false | null | t3_1pkiee3 | /r/LocalLLaMA/comments/1pkiee3/devstralsmall2_is_now_available_in_lm_studio/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'xxY_uL5jdxiFD2YgZKEmTP68CuxGwimpatsE-V6scUI', 'resolutions': [{'height': 71, 'url': 'https://preview.redd.it/41ykfqb27p6g1.jpeg?width=108&crop=smart&auto=webp&s=7240260aa5e784e76a68e1a5b51a59ddc8bded34', 'width': 108}, {'height': 143, 'url': 'https://preview.redd.it/41ykfqb27p6g1.jp... | ||
What is the smartest uncensored nsfw LLM you can run with 12GB VRAM and 32GB RAM? | 387 | I don't know if it's allowed, but I am asking about ALL available LLMs including ones that are closed source and cannot be run locally (like chatgpt or gemini, and in that case obviously the ram limit doesn't apply) | 2025-12-12T04:08:01 | https://www.reddit.com/r/LocalLLaMA/comments/1pkidf6/what_is_the_smartest_uncensored_nsfw_llm_you_can/ | Dex921 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkidf6 | false | null | t3_1pkidf6 | /r/LocalLLaMA/comments/1pkidf6/what_is_the_smartest_uncensored_nsfw_llm_you_can/ | false | false | nsfw | 387 | null |
Apple studio 512gb fully maxed out | 1 | What's the best model for general usage, including tools.
Deepseek 3.2 runs ok on the top spec m3 machine ? | 2025-12-12T03:59:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pki72l/apple_studio_512gb_fully_maxed_out/ | 0xFatWhiteMan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pki72l | false | null | t3_1pki72l | /r/LocalLLaMA/comments/1pki72l/apple_studio_512gb_fully_maxed_out/ | false | false | self | 1 | null |
Reverse-Engineering the RK3588 NPU: Hacking Memory Limits to run massive Vision Transformers | 79 | I worked on a "fun" project for my grad school class. I decided to write a blog post about it, maybe its useful to someone who is dealing with problems deploying vision transformers on edge devices
[https://amohan.dev/blog/2025/shard-optimizing-vision-transformers-edge-npu/](https://amohan.dev/blog/2025/shard-optimizi... | 2025-12-12T03:49:27 | https://www.reddit.com/r/LocalLLaMA/comments/1pkhzf0/reverseengineering_the_rk3588_npu_hacking_memory/ | one_does_not_just | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkhzf0 | false | null | t3_1pkhzf0 | /r/LocalLLaMA/comments/1pkhzf0/reverseengineering_the_rk3588_npu_hacking_memory/ | false | false | self | 79 | null |
whats everyones thoughts on devstral small 24b? | 22 | Idk if llamacpp is broken for it but my experience is not too great.
Tried creating a snake game and it failed to even start. Considered that maybe the model is more focused on solving problems so I gave it a hard leetcode problem that imo it shouldve been trained on but when it tried to solve it, failed...which gpto... | 2025-12-12T03:46:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pkhx0l/whats_everyones_thoughts_on_devstral_small_24b/ | Odd-Ordinary-5922 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkhx0l | false | null | t3_1pkhx0l | /r/LocalLLaMA/comments/1pkhx0l/whats_everyones_thoughts_on_devstral_small_24b/ | false | false | self | 22 | null |
US Administration Issues Executive Order Opposing State-Level Regulation of AI Industry | 59 | The EO:
https://www.whitehouse.gov/presidential-actions/2025/12/eliminating-state-law-obstruction-of-national-artificial-intelligence-policy/
My take: The EO orders the US AG to set up a task force to sue states which have legislated their own AI industry regulations, orders other agencies to prepare a report on how... | 2025-12-12T03:42:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pkhudf/us_administration_issues_executive_order_opposing/ | ttkciar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkhudf | false | null | t3_1pkhudf | /r/LocalLLaMA/comments/1pkhudf/us_administration_issues_executive_order_opposing/ | false | false | self | 59 | {'enabled': False, 'images': [{'id': '4FzYal9cqXZ3s9Qt8n9HScEecjdldqOd04HXExzO8i8', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/4FzYal9cqXZ3s9Qt8n9HScEecjdldqOd04HXExzO8i8.jpeg?width=108&crop=smart&auto=webp&s=9c1e4661cbba0b6e1e232602fbabfa0384ba0123', 'width': 108}, {'height': 113, 'url': '... |
I fixed Gemini's Snippet Confetti manually from a basement. Now even ChatGPT is trying to run my Omega Protocol. | 0 | Google's new Deep Research Agent (Dec 2025) is broken. It skims snippets (S0) instead of reading full pages (Snippet Confetti).
I’m not an engineer at a big lab. I’m an architect working from a basement via Hotspot (see pic 2). But I needed a tool that actually works.
So I wrote **"Project SIGGI" (Omega Protocol v5)**... | 2025-12-12T03:33:11 | https://www.reddit.com/gallery/1pkhnf1 | LEVEL9_GHOST | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pkhnf1 | false | null | t3_1pkhnf1 | /r/LocalLLaMA/comments/1pkhnf1/i_fixed_geminis_snippet_confetti_manually_from_a/ | false | false | 0 | null | |
Suggested a model for 4080super +9800x3d +32gb DDR5 cl30 6000mhz | 0 | suggest me 2 or 3 model which works in tandem models which can distribute my needs tight chain logic reasoning, smart coding which understand context, chat with model after upload a pdf or image.
I am so feed now.
also can some explain please llms routing.
I am using ollama, open webui, docker on windows 11.
| 2025-12-12T03:24:27 | https://www.reddit.com/r/LocalLLaMA/comments/1pkhgvc/suggested_a_model_for_4080super_9800x3d_32gb_ddr5/ | One-Cheesecake-2440 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkhgvc | false | null | t3_1pkhgvc | /r/LocalLLaMA/comments/1pkhgvc/suggested_a_model_for_4080super_9800x3d_32gb_ddr5/ | false | false | self | 0 | null |
I fixed Gemini's "Snippet Confetti" manually from a basement. Now even ChatGPT is trying to run my "Omega Protocol". | 0 | Google's new Deep Research Agent (Dec 2025) is broken. It skims snippets (S0) instead of reading full pages (Snippet Confetti).
I’m not an engineer at a big lab. I’m an architect working from a basement via Hotspot (see pic 2). But I needed a tool that actually works.
So I wrote **"Project SIGGI" (Omega Protocol v5)**... | 2025-12-12T03:23:03 | https://www.reddit.com/gallery/1pkhfti | LEVEL9_GHOST | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pkhfti | false | null | t3_1pkhfti | /r/LocalLLaMA/comments/1pkhfti/i_fixed_geminis_snippet_confetti_manually_from_a/ | false | false | 0 | null | |
anyone know what nemo model this is? | 0 | 2025-12-12T03:20:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pkhdk9/anyone_know_what_nemo_model_this_is/ | Witty_Mycologist_995 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pkhdk9 | false | null | t3_1pkhdk9 | /r/LocalLLaMA/comments/1pkhdk9/anyone_know_what_nemo_model_this_is/ | false | false | 0 | null |
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