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llama.cpp's recent updates - --fit flag | 86 | Haven't updated llama.cpp for last 2 weeks. Liked the new CLI after last time update.
Wanted to mention these PRs.
[llama: automatically set parameters not set by the user in such a way that maximizes GPU utilization #16653](https://github.com/ggml-org/llama.cpp/pull/16653) \- I was waiting for this one. Looks like ... | 2025-12-25T19:09:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pvke55/llamacpps_recent_updates_fit_flag/ | pmttyji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvke55 | false | null | t3_1pvke55 | /r/LocalLLaMA/comments/1pvke55/llamacpps_recent_updates_fit_flag/ | false | false | self | 86 | {'enabled': False, 'images': [{'id': '8gg1lInYqw2nDvczDvHtI2saK722yYD9ou0dfqVjhy4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/8gg1lInYqw2nDvczDvHtI2saK722yYD9ou0dfqVjhy4.png?width=108&crop=smart&auto=webp&s=bab17b25266b69be7d8bcb9a94493abb361f0218', 'width': 108}, {'height': 108, 'url': 'h... |
How to build a workstation for future expansion with GPUs for Inference and Fine-tuning | 0 | So i have to build a system that can expand into 8-10 Rtx Blackwell Pro 96Gb that will handle large models.
İnitially we will begin with a single GPU but we will put more along the way.
What motherboard, cpu, ram i need for this?
I have been stuck with motherboard specifically and workstation solutions seem affor... | 2025-12-25T19:09:21 | https://www.reddit.com/r/LocalLLaMA/comments/1pvke3e/how_to_build_a_workstation_for_future_expansion/ | Guilty-Enthusiasm-50 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvke3e | false | null | t3_1pvke3e | /r/LocalLLaMA/comments/1pvke3e/how_to_build_a_workstation_for_future_expansion/ | false | false | self | 0 | null |
Is it possible to raise an AI? | 0 | I've seen a video of a guy talking about what is AI today and is a program that predicts an answer to anything you say based on context and a database, but the AI doesn't know exactly what is saying. Then, this guys try to make his own AI to raise it and teach it the meaning of things, by creating a virtual body in a v... | 2025-12-25T19:01:22 | https://www.reddit.com/r/LocalLLaMA/comments/1pvk7qi/is_it_possible_to_raise_an_ai/ | Mandarina_Espacial | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvk7qi | false | null | t3_1pvk7qi | /r/LocalLLaMA/comments/1pvk7qi/is_it_possible_to_raise_an_ai/ | false | false | self | 0 | null |
HOWTO: Running the best models on a dual RTX Pro 6000 rig with vLLM (192 GB VRAM) | 36 | Ground rules: We want speed (tens or hundreds of tokens/sec) and everything fitting into available VRAM
# How to install vLLM stable
Prerequisite: [Ubuntu 24.04 and the proper NVIDIA drivers](https://forum.level1techs.com/t/wip-blackwell-rtx-6000-pro-max-q-quickie-setup-guide-on-ubuntu-24-04-lts-25-04/230521)
mk... | 2025-12-25T18:55:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pvk3d9/howto_running_the_best_models_on_a_dual_rtx_pro/ | zmarty | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvk3d9 | false | null | t3_1pvk3d9 | /r/LocalLLaMA/comments/1pvk3d9/howto_running_the_best_models_on_a_dual_rtx_pro/ | false | false | self | 36 | {'enabled': False, 'images': [{'id': 'IGEpL78K2D8TWJYFSS6IABPdzBsFIDT7HyYc1xaC8-A', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/IGEpL78K2D8TWJYFSS6IABPdzBsFIDT7HyYc1xaC8-A.jpeg?width=108&crop=smart&auto=webp&s=117d22164603393926de3d32677394f928bbce58', 'width': 108}, {'height': 162, 'url': '... |
Why I quit using Ollama | 451 | For about a year, I've used Ollama like... 24/7. It was always my go-to, as it was frequently updated and had support for every model I needed.
Over the past few months, there's been a serious decline in the updates & update content that releases with Ollama. I understand that, and just went about my day, as the maint... | 2025-12-25T18:38:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pvjpmb/why_i_quit_using_ollama/ | SoLoFaRaDi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvjpmb | false | null | t3_1pvjpmb | /r/LocalLLaMA/comments/1pvjpmb/why_i_quit_using_ollama/ | false | false | self | 451 | null |
LFM2-2.6B-Exp new model from Liquid AI: 42% in GPQA for an 2.6B model | 27 | LFM2-2.6B-Exp is an experimental checkpoint built on LFM2-2.6B using pure reinforcement learning.
> Consistent improvements in instruction following, knowledge, and math benchmarks
> Outperforms other 3B models in these domains
> Its IFBench score surpasses DeepSeek R1-0528, a model 263x larger | 2025-12-25T18:36:29 | 98Saman | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvjnwr | false | null | t3_1pvjnwr | /r/LocalLLaMA/comments/1pvjnwr/lfm226bexp_new_model_from_liquid_ai_42_in_gpqa/ | false | false | default | 27 | {'enabled': True, 'images': [{'id': '8tm4ji9u9e9g1', 'resolutions': [{'height': 75, 'url': 'https://preview.redd.it/8tm4ji9u9e9g1.jpeg?width=108&crop=smart&auto=webp&s=fe5beeafa631aa1d880a619ebd2d6320be0558ae', 'width': 108}, {'height': 151, 'url': 'https://preview.redd.it/8tm4ji9u9e9g1.jpeg?width=216&crop=smart&auto=w... | |
5x 5070 ti in a bitcoin miner board ? | 0 | There are tantalizing hints in here that old bitcoin mining rigs- the crazy boards that are the size of 3x ATX mobos long with space to fit 3 slot GPUs- can be used for different models.
With 5x 5070s (anything that is 16gb), would that be potentially useful? Do I go get the board from a local seller that's finally g... | 2025-12-25T18:26:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pvjg1e/5x_5070_ti_in_a_bitcoin_miner_board/ | NotQuiteDeadYetPhoto | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvjg1e | false | null | t3_1pvjg1e | /r/LocalLLaMA/comments/1pvjg1e/5x_5070_ti_in_a_bitcoin_miner_board/ | false | false | self | 0 | null |
How are you happy with 3-7tok/s | 0 | Over the past few months I occasionally stumble across posts where people mention they're very happy with XYZ solution to their agentic coding issues. And I'm always blown away that what they're talking about is often in the low single digits tok/s. I'm making some assumptions, but like like 130b - 200b models on STRIX... | 2025-12-25T17:45:02 | https://www.reddit.com/r/LocalLLaMA/comments/1pviizq/how_are_you_happy_with_37toks/ | No_Mango7658 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pviizq | false | null | t3_1pviizq | /r/LocalLLaMA/comments/1pviizq/how_are_you_happy_with_37toks/ | false | false | self | 0 | null |
I created interactive buttons for chatbots | 3 | It's about to be 2026 and we're still stuck in the CLI era when it comes to chatbots. So, I created an open source library called Quint.
Quint is a small React library that lets you build structured, deterministic interactions on top of LLMs. Instead of everything being raw text, you can define explicit choices where ... | 2025-12-25T17:43:59 | https://www.reddit.com/gallery/1pvii7p | CrazyGeek7 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pvii7p | false | null | t3_1pvii7p | /r/LocalLLaMA/comments/1pvii7p/i_created_interactive_buttons_for_chatbots/ | false | false | 3 | null | |
Basics of running two GPUs? | 0 | I’ve been having fun with my lightweight setup with a 8gb GTX card. I want to do a few things I can’t do with that.
If I want to upgrade to dual RTX cards to get more ram to run larger models, what do I need to know?
I am not overly concerned with speed. CPU is not fast enough but 20tps or faster is fine. Mostly I ... | 2025-12-25T17:41:42 | https://www.reddit.com/r/LocalLLaMA/comments/1pvigfm/basics_of_running_two_gpus/ | newz2000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvigfm | false | null | t3_1pvigfm | /r/LocalLLaMA/comments/1pvigfm/basics_of_running_two_gpus/ | false | false | self | 0 | null |
OCR corrections of a book | 1 | Hi! I am new here. I am wondering if the following problem could be solved by a model to be run on a MacBook Air M2 16GB ram. I have OCRed a book. The OCR looks quite good, but there are mistakes here and there. Can one instruct a model to: a) correct the mistakes 2) Format the text (because the exported OCR is plain t... | 2025-12-25T17:29:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pvi74h/ocr_corrections_of_a_book/ | Impossible-Ad-8420 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvi74h | false | null | t3_1pvi74h | /r/LocalLLaMA/comments/1pvi74h/ocr_corrections_of_a_book/ | false | false | self | 1 | null |
Built a local vector database for RAG that handles datasets bigger than RAM | 3 | I’ve been working on SatoriDB, an embedded vector database designed for large-scale retrieval without requiring everything to live in memory.
Why this might be relevant for LocalLLaMA / RAG:
* Works with billion-scale vector datasets stored on disk
* No external service, fully in-process
* Small RAM footprint (routin... | 2025-12-25T17:25:55 | https://www.reddit.com/r/LocalLLaMA/comments/1pvi4bb/built_a_local_vector_database_for_rag_that/ | Ok_Marionberry8922 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvi4bb | false | null | t3_1pvi4bb | /r/LocalLLaMA/comments/1pvi4bb/built_a_local_vector_database_for_rag_that/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'oC052GKHSz9pndbalkxeFT_efKvLRnuvyYYQE85a5hc', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/oC052GKHSz9pndbalkxeFT_efKvLRnuvyYYQE85a5hc.png?width=108&crop=smart&auto=webp&s=fb51e953ba9d82d8c54630c3e9a293912eca9c6a', 'width': 108}, {'height': 108, 'url': 'h... |
It's Christmas. Where are the Minimax M2.1 weights? | 1 | [removed] | 2025-12-25T16:50:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pvhcwm/its_christmas_where_are_the_minimax_m21_weights/ | zmarty | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvhcwm | false | null | t3_1pvhcwm | /r/LocalLLaMA/comments/1pvhcwm/its_christmas_where_are_the_minimax_m21_weights/ | false | false | self | 1 | null |
Stop using AI as a chatbot. Start using it as a Reasoning Engine. [The "Forensic Intern" Prompt] | 0 | Most people treat LLMs like a faster version of Google. But the real power of the 2025 models (like Gemini 3 and GPT-5.2) isn't in their "knowledge", it's in their ability to perform **System 2 thinking** if you give them the right architecture.
I’ve spent months refining a **"Genius Intern" System Prompt** for Busine... | 2025-12-25T16:45:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pvh8yk/stop_using_ai_as_a_chatbot_start_using_it_as_a/ | Plurlo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvh8yk | false | null | t3_1pvh8yk | /r/LocalLLaMA/comments/1pvh8yk/stop_using_ai_as_a_chatbot_start_using_it_as_a/ | false | false | self | 0 | null |
Open-source project that adds deny-by-default runtime security to MCP servers | 0 | Hello everyone 👋
I wanted to share a project I’ve been working on called **MCPTrust** — an open-source runtime firewall/proxy for MCP servers.
If you’ve ever approved an MCP server and later worried it could silently change (new tools, altered schemas, swapped npm artifact), that’s the problem we’re solving. Most so... | 2025-12-25T16:38:18 | https://www.reddit.com/r/LocalLLaMA/comments/1pvh3kk/opensource_project_that_adds_denybydefault/ | bbbbbbb162 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvh3kk | false | null | t3_1pvh3kk | /r/LocalLLaMA/comments/1pvh3kk/opensource_project_that_adds_denybydefault/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'MshVLw7qML7KMYlyPvpmoN-svRJwoW8-rJBPuHkEU7c', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/MshVLw7qML7KMYlyPvpmoN-svRJwoW8-rJBPuHkEU7c.png?width=108&crop=smart&auto=webp&s=22cd328c09bc22dbfefa89e9e1f681d4ab164a39', 'width': 108}, {'height': 108, 'url': 'h... |
Deriving PPO objective from first principles | 6 | I have been trying to wrap my head around reinforcement learning approaches like DPO and GRPO for a while now given how essential they are for LLM post-training. Since I am still pretty new to RL, I figured the best place to build a mental model and math intuition for policy-gradient-based methods is to start with Prox... | 2025-12-25T16:33:23 | https://huggingface.co/blog/garg-aayush/ppo-from-first-principle | garg-aayush | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pvgzxt | false | null | t3_1pvgzxt | /r/LocalLLaMA/comments/1pvgzxt/deriving_ppo_objective_from_first_principles/ | false | false | default | 6 | {'enabled': False, 'images': [{'id': 'CKOgTFrtLIpx4C4HSj33faLquH32462o8Vxxdhu3tb4', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/CKOgTFrtLIpx4C4HSj33faLquH32462o8Vxxdhu3tb4.png?width=108&crop=smart&auto=webp&s=d4ca7a72d8b585306c72e215fe1d7b2b7f3335d4', 'width': 108}, {'height': 116, 'url': 'h... |
Local-only LLaMA workbench — how are you all using yours? | 0 | I built a small local-only AI workbench that runs fully offline via Ollama. I put together a short general-questions walkthrough showing how it works and why I went local-first instead of cloud. I’m curious how others here are actually using local LLaMA setups in practice.
[https://youtu.be/L5JOlS\_KGfE](https://youtu... | 2025-12-25T16:27:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pvgvfm/localonly_llama_workbench_how_are_you_all_using/ | Mythline_Studio | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvgvfm | false | null | t3_1pvgvfm | /r/LocalLLaMA/comments/1pvgvfm/localonly_llama_workbench_how_are_you_all_using/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'P6zOWW_C_0icCR5g1uaYLOfq5X4YE8LFwzZzt9vppv8', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/P6zOWW_C_0icCR5g1uaYLOfq5X4YE8LFwzZzt9vppv8.jpeg?width=108&crop=smart&auto=webp&s=8cf8020c748c5dc2388612dd97c1cb8c381d9b11', 'width': 108}, {'height': 162, 'url': '... |
Train a 4B model to beat Claude Sonnet 4.5 and Gemini Pro 2.5 at tool calling - for free (Colab included) | 194 | Using Open Source DeepFabric, a tool that lets you:
1. Pick any MCP server or any given set of Tools
2. A specific root topic (DevOps, Customer Care, Coding Agent)
3. Auto-generate a tool calling / reasoning topic specific dataset, with real tool traces executed within isolated webassembly components.
4. Fine-tune an ... | 2025-12-25T16:05:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pvgell/train_a_4b_model_to_beat_claude_sonnet_45_and/ | DecodeBytes | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvgell | false | null | t3_1pvgell | /r/LocalLLaMA/comments/1pvgell/train_a_4b_model_to_beat_claude_sonnet_45_and/ | false | false | self | 194 | null |
Looking for an entry level nvidia card | 1 | As cheap as possible. These are my top contenders.
> TESLA M40 24GB, buy from ebay / China
> RTX 3060 12GB, buy local SH
What would you recommend? | 2025-12-25T15:42:41 | https://www.reddit.com/r/LocalLLaMA/comments/1pvfxm2/looking_for_an_entry_level_nvidia_card/ | kim82352 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvfxm2 | false | null | t3_1pvfxm2 | /r/LocalLLaMA/comments/1pvfxm2/looking_for_an_entry_level_nvidia_card/ | false | false | self | 1 | null |
LiquidAI/LFM2.6B-exp | 22 | LFM2-2.6B-Exp is an experimental checkpoint built on [LFM2-2.6B](https://huggingface.co/LiquidAI/LFM2-2.6B) using pure reinforcement learning.
https://preview.redd.it/d7bc6m4zbd9g1.png?width=1896&format=png&auto=webp&s=2ddc10c232fbfc67b3bcc4a7fbc54a8949e3ca74
[https://huggingface.co/LiquidAI/LFM2-2.6B-Exp](https://hu... | 2025-12-25T15:27:22 | https://www.reddit.com/r/LocalLLaMA/comments/1pvfmfv/liquidailfm26bexp/ | BreakfastFriendly728 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvfmfv | false | null | t3_1pvfmfv | /r/LocalLLaMA/comments/1pvfmfv/liquidailfm26bexp/ | false | false | 22 | null | |
Which model should I run on my 5060ti 16gb? | 0 | I dont know anything about running models locally and I read Gemma3:27b is good but can it run on 16gb vram? Or should I go for 12b. | 2025-12-25T15:26:32 | https://www.reddit.com/r/LocalLLaMA/comments/1pvflud/which_model_should_i_run_on_my_5060ti_16gb/ | PuzzleheadedBet808 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvflud | false | null | t3_1pvflud | /r/LocalLLaMA/comments/1pvflud/which_model_should_i_run_on_my_5060ti_16gb/ | false | false | self | 0 | null |
LFM2-2.6B-Exp is an experimental checkpoint built on LFM2-2.6B using pure reinforcement learning by Liquid AI | 78 | Hugging Face: [https://huggingface.co/LiquidAI/LFM2-2.6B-Exp](https://huggingface.co/LiquidAI/LFM2-2.6B-Exp) | 2025-12-25T15:22:53 | Nunki08 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvfj87 | false | null | t3_1pvfj87 | /r/LocalLLaMA/comments/1pvfj87/lfm226bexp_is_an_experimental_checkpoint_built_on/ | false | false | default | 78 | {'enabled': True, 'images': [{'id': 'xwktkxmsad9g1', 'resolutions': [{'height': 76, 'url': 'https://preview.redd.it/xwktkxmsad9g1.png?width=108&crop=smart&auto=webp&s=bae3ff5cdf966d49f62a6f6d45154a445b761dc6', 'width': 108}, {'height': 152, 'url': 'https://preview.redd.it/xwktkxmsad9g1.png?width=216&crop=smart&auto=web... | |
Once im done with Minimax M2, i can just switch to use Grok Code Fast | 0 | with how good free models are, i am not easily motivated to pay for extended access, only if i get extra features or something. i sticking to free models is a better option, and having backup models is even better. thats why i got multiple vs code extensions such as Gemini and BlackboxAI to name a few | 2025-12-25T15:14:55 | Director-on-reddit | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvfdmk | false | null | t3_1pvfdmk | /r/LocalLLaMA/comments/1pvfdmk/once_im_done_with_minimax_m2_i_can_just_switch_to/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'k0nb3u559d9g1', 'resolutions': [{'height': 115, 'url': 'https://preview.redd.it/k0nb3u559d9g1.png?width=108&crop=smart&auto=webp&s=51e141c9128e5c73b476909d293523e7d9dc5e21', 'width': 108}, {'height': 231, 'url': 'https://preview.redd.it/k0nb3u559d9g1.png?width=216&crop=smart&auto=we... | |
Mixture of Experts Model | 0 | Is it possible to download different parts (experts) and then locally combine them to create your own mixture of experts model?
For example. I like to design houses (log homes specifically). So I would want to download the following experts:
1. Architecture
2. Architectural engineering
3. Log Homes
4. Earthq... | 2025-12-25T15:03:42 | https://www.reddit.com/r/LocalLLaMA/comments/1pvf5ob/mixture_of_experts_model/ | slrg1968 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvf5ob | false | null | t3_1pvf5ob | /r/LocalLLaMA/comments/1pvf5ob/mixture_of_experts_model/ | false | false | self | 0 | null |
KT-Kernel achieves up to >4.5x prefill and 30% faster decode compared to llama.cpp on the same hardware , why? | 6 | 2025-12-25T15:03:17 | https://www.reddit.com/r/LocalLLaMA/comments/1pvf5by/ktkernel_achieves_up_to_45x_prefill_and_30_faster/ | LegacyRemaster | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvf5by | false | null | t3_1pvf5by | /r/LocalLLaMA/comments/1pvf5by/ktkernel_achieves_up_to_45x_prefill_and_30_faster/ | false | false | 6 | null | ||
Low-power local LLM inference server configuration | 2 | Good morning and Merry Christmas! I'm considering setting up a small home server to run LLM locally.
I'd like to be able to run models, preferably with reasoning capabilities (gpt-oss or deepseek would be ideal) for programming tasks, AI-based applications, and simple conversations.
The server would need to be always... | 2025-12-25T14:54:13 | https://www.reddit.com/r/LocalLLaMA/comments/1pveyrj/lowpower_local_llm_inference_server_configuration/ | bolo7007 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pveyrj | false | null | t3_1pveyrj | /r/LocalLLaMA/comments/1pveyrj/lowpower_local_llm_inference_server_configuration/ | false | false | self | 2 | null |
GLM 4.7 is not on lmarena anymore | 48 | Why is that? | 2025-12-25T14:44:48 | https://www.reddit.com/r/LocalLLaMA/comments/1pvescs/glm_47_is_not_on_lmarena_anymore/ | Sooqrat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvescs | false | null | t3_1pvescs | /r/LocalLLaMA/comments/1pvescs/glm_47_is_not_on_lmarena_anymore/ | false | false | self | 48 | null |
Honestly, has anyone actually tried GLM 4.7 yet? (Not just benchmarks) | 108 | I’m seeing all these charts claiming GLM 4.7 is officially the “Sonnet 4.5 and GPT-5.2 killer” for coding and math. The benchmarks look insane (84.8 on LiveCodeBench?!), but we all know how easy it is to game those for a release day hype cycle.
I’m specifically curious about using it as a daily driver for complex web ... | 2025-12-25T14:35:15 | https://www.reddit.com/r/LocalLLaMA/comments/1pveluj/honestly_has_anyone_actually_tried_glm_47_yet_not/ | Empty_Break_8792 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pveluj | false | null | t3_1pveluj | /r/LocalLLaMA/comments/1pveluj/honestly_has_anyone_actually_tried_glm_47_yet_not/ | false | false | self | 108 | null |
built a conversation memory system, results are confusing | 4 | been working on this problem for weeks. trying to build an ai assistant that actually remembers stuff across conversations instead of forgetting everything after each session.
the obvious approach is rag , embed conversation history, store in vector db, retrieve when needed. but it sucks for conversational context. li... | 2025-12-25T14:17:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pveabf/built_a_conversation_memory_system_results_are/ | Dense-Sir-6707 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pveabf | false | null | t3_1pveabf | /r/LocalLLaMA/comments/1pveabf/built_a_conversation_memory_system_results_are/ | false | false | self | 4 | null |
Octonion Bitnet with fused Triton kernels | 1 | I'm experimenting with combining Octonions and ternary weights from Bitnet. The custom kernel reduces 64 separate matmul kernel launches to a single fused kernel. Includes some other architectural optimizations like Octonion head mixing (also handled by the kernel, reduces 8 sequential matmuls to a single fused kernel ... | 2025-12-25T14:10:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pve5e8/octonion_bitnet_with_fused_triton_kernels/ | Valkyrill | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pve5e8 | false | null | t3_1pve5e8 | /r/LocalLLaMA/comments/1pve5e8/octonion_bitnet_with_fused_triton_kernels/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'tKaxhhxsDk7KlDyzYfX6X9AJAACBT0CEgEiubhtUTfA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/tKaxhhxsDk7KlDyzYfX6X9AJAACBT0CEgEiubhtUTfA.png?width=108&crop=smart&auto=webp&s=f9573a0ab310a6728c1340b2319143d6e3037138', 'width': 108}, {'height': 108, 'url': 'h... |
Should I be switching to DoRA instead of LoRA? | 17 | (also posted to /r/unsloth)
Should I switch to using DoRA instead of LoRA?
I've been training a small LLM on the medical field and have been doing CPT using full parameters. Due to this I've been limited to models around 3B in size (GPU poor, AWS creds almost ran out). I know LoRA won't be ideal for me, I have about ... | 2025-12-25T13:56:46 | https://www.reddit.com/r/LocalLLaMA/comments/1pvdwca/should_i_be_switching_to_dora_instead_of_lora/ | CartographerFun4221 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvdwca | false | null | t3_1pvdwca | /r/LocalLLaMA/comments/1pvdwca/should_i_be_switching_to_dora_instead_of_lora/ | false | false | self | 17 | null |
LIONLOCK LLM fatigue detection | 0 | Hi all — I'm Joshua Waters (TruthSeeker on GitHub), and I’ve just released the first public module of **LionLock FDE**: an open-source fatigue detection and trust overlay engine for large language models.
✅ Passive-only trust scoring
✅ Detects drift, hallucination, volatility — no raw prompt/response logging
✅ Pri... | 2025-12-25T13:56:07 | https://www.reddit.com/r/LocalLLaMA/comments/1pvdvxe/lionlock_llm_fatigue_detection/ | SweetDue490 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvdvxe | false | null | t3_1pvdvxe | /r/LocalLLaMA/comments/1pvdvxe/lionlock_llm_fatigue_detection/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'fw2XMeygS8isIcj220Q5vGqSpTo_uvPMWpqNE9mz2gk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/fw2XMeygS8isIcj220Q5vGqSpTo_uvPMWpqNE9mz2gk.png?width=108&crop=smart&auto=webp&s=23483819474da3ba6235f3fa457faf3a75478ccd', 'width': 108}, {'height': 108, 'url': 'h... |
PromptArch | Gets your coding prompts enhanced 🔥 | 0 | PromptArch | Gets your coding prompts enhanced
New project launched FULLY developed on TRAE.AI with GLM 4.7 model
Live preview:
https://traetlzlxn2t.vercel.app
PromptArch: The Prompt Enhancer :rocket:
Official project GitHub:
https://github.com/roman-ryzenadvanced/PromptArch-the-prompt-enhancer/blob/main/README.md | 2025-12-25T13:52:02 | Kitchen_Sympathy_344 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvdt6g | false | null | t3_1pvdt6g | /r/LocalLLaMA/comments/1pvdt6g/promptarch_gets_your_coding_prompts_enhanced/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'la4tb6c3vc9g1', 'resolutions': [{'height': 56, 'url': 'https://preview.redd.it/la4tb6c3vc9g1.png?width=108&crop=smart&auto=webp&s=881c9be2b63d04ab867f6a234f1da168427f8b55', 'width': 108}, {'height': 112, 'url': 'https://preview.redd.it/la4tb6c3vc9g1.png?width=216&crop=smart&auto=web... | |
How good is vLLM cpu compared to llama-cpp for cpu only inference, in terms of speed? | 2 | and this is considering sequential or batch processing. Are there any scenarios where vLLM beats llama-cpp? | 2025-12-25T13:36:39 | https://www.reddit.com/r/LocalLLaMA/comments/1pvdjbt/how_good_is_vllm_cpu_compared_to_llamacpp_for_cpu/ | l_Mr_Vader_l | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvdjbt | false | null | t3_1pvdjbt | /r/LocalLLaMA/comments/1pvdjbt/how_good_is_vllm_cpu_compared_to_llamacpp_for_cpu/ | false | false | self | 2 | null |
I am making something for the community. Need Feedback | 5 | Model loaded: Qwen-3 1.7B 4bit
What I am trying to do in layman terms: I want to create a close to Perplexity experience with your locally downloaded GGUF. Here is one example of the Deep Search feature(I've cut nearly 30 seconds of the video while it was searching). So far I've implemented complex pipelines and steps... | 2025-12-25T13:33:44 | https://v.redd.it/hduxo9vkrc9g1 | ILoveMy2Balls | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvdhhf | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/hduxo9vkrc9g1/DASHPlaylist.mpd?a=1769261637%2CMDlmMDNhNGU5N2Y3Y2QyZGZmZGU0ODQzN2RjZTQ4ZmNlOTFkYzFjZTg3OTZlMWQzYzhiMmMzZWUyMjQ1YzVlNg%3D%3D&v=1&f=sd', 'duration': 32, 'fallback_url': 'https://v.redd.it/hduxo9vkrc9g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1pvdhhf | /r/LocalLLaMA/comments/1pvdhhf/i_am_making_something_for_the_community_need/ | false | false | 5 | {'enabled': False, 'images': [{'id': 'ZTJtcHJqNHNyYzlnMVKUogK9EKC2u1rJeawhQIiAIa7e8mMRDIt2lv3vdMPp', 'resolutions': [{'height': 70, 'url': 'https://external-preview.redd.it/ZTJtcHJqNHNyYzlnMVKUogK9EKC2u1rJeawhQIiAIa7e8mMRDIt2lv3vdMPp.png?width=108&crop=smart&format=pjpg&auto=webp&s=69d983f5f3dc61a9f2a372e94e51259e64b2e... | |
I am making something for the community. Need Feedback | 1 | Model loaded: Qwen-3 1.7B 4bit
What I am trying to do in layman terms: I want to create a close to Perplexity experience with your locally downloaded GGUF. Here is one example of the Deep Search feature(I've cut nearly 30 seconds of the video while it was searching). So far I've implemented complex pipelines and steps... | 2025-12-25T13:28:55 | https://v.redd.it/xoj4bomppc9g1 | ILoveMy2Balls | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvdej1 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/xoj4bomppc9g1/DASHPlaylist.mpd?a=1769261348%2CNzE4ZDRiZDNjOTU5ZTBjOGUzOTVlNWFiOWU1MzExNDNjYWY2Y2U5MDhkZTY0ZjI0MmY3ZDE3NGI1ZDZhNjIwNw%3D%3D&v=1&f=sd', 'duration': 32, 'fallback_url': 'https://v.redd.it/xoj4bomppc9g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1pvdej1 | /r/LocalLLaMA/comments/1pvdej1/i_am_making_something_for_the_community_need/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'Z3lhZnp6bXBwYzlnMXRQK9hTfh8dqbN7WyUVtwh8z7hbyX2B30H8xJU4fJ59', 'resolutions': [{'height': 70, 'url': 'https://external-preview.redd.it/Z3lhZnp6bXBwYzlnMXRQK9hTfh8dqbN7WyUVtwh8z7hbyX2B30H8xJU4fJ59.png?width=108&crop=smart&format=pjpg&auto=webp&s=ec4d7ee477ecc3fd3354c11469abc8aa14501... | |
I built an open-source tool to "lint" your RAG dataset before indexing (Dedup, PII, Coverage Gaps) | 6 | Hi everyone,
Like many of you, I’ve spent the last few months debugging RAG pipelines. I realized that 90% of the time when my model hallucinated, it wasn't the LLM's fault, it was the retrieval. My vector database was full of duplicate policies, "Page 1 of 5" headers, and sometimes accidental PII.
I wanted something... | 2025-12-25T13:23:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pvdbd8/i_built_an_opensource_tool_to_lint_your_rag/ | Federal_Floor7900 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvdbd8 | false | null | t3_1pvdbd8 | /r/LocalLLaMA/comments/1pvdbd8/i_built_an_opensource_tool_to_lint_your_rag/ | false | false | 6 | null | |
🎄 Open-sourcing our AI security platform — 97 engines, 39K+ payloads, full code. Christmas gift. | 1 | [removed] | 2025-12-25T13:12:41 | https://www.reddit.com/r/LocalLLaMA/comments/1pvd4j3/opensourcing_our_ai_security_platform_97_engines/ | ParticularSubject966 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvd4j3 | false | null | t3_1pvd4j3 | /r/LocalLLaMA/comments/1pvd4j3/opensourcing_our_ai_security_platform_97_engines/ | false | false | self | 1 | null |
🎄 Christmas 2025: We're Open-Sourcing Our Entire AI Security Platform — 97 Detection Engines, Strange Math™, Everything | 1 | [removed] | 2025-12-25T13:05:52 | https://www.reddit.com/r/LocalLLaMA/comments/1pvd0c0/christmas_2025_were_opensourcing_our_entire_ai/ | ParticularSubject966 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvd0c0 | false | null | t3_1pvd0c0 | /r/LocalLLaMA/comments/1pvd0c0/christmas_2025_were_opensourcing_our_entire_ai/ | false | false | self | 1 | null |
MCPs in local & hybrid LLM workflows - notes from testing across IDEs | 0 | I’ve been experimenting with **Model Context Protocol (MCP)** in local and hybrid LLM workflows and noticed that most examples are scattered across GitHub repos, Discord threads, and gists, often without clear notes on what actually works end-to-end.
While testing MCPs locally, I started documenting things I verified ... | 2025-12-25T12:19:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pvc90u/mcps_in_local_hybrid_llm_workflows_notes_from/ | Silver-Photo2198 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvc90u | false | null | t3_1pvc90u | /r/LocalLLaMA/comments/1pvc90u/mcps_in_local_hybrid_llm_workflows_notes_from/ | false | false | self | 0 | null |
A Karnatka devotee gives Rs. 200 crore Lord Ram's idol to Ayodha Ram Mandir 🚩 | 1 | 2025-12-25T11:24:35 | https://v.redd.it/jujd29wq4c9g1 | preetkxur56 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvbfja | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/jujd29wq4c9g1/DASHPlaylist.mpd?a=1769253888%2CZmVmNzBjODMwYWU4MGRlNWI4YjJkYzBmOThmMTNiMTJjZWIyMTk2NjI3ZjdkMTIzOTYzZWUwYmQxMDFlMjA3ZA%3D%3D&v=1&f=sd', 'duration': 26, 'fallback_url': 'https://v.redd.it/jujd29wq4c9g1/CMAF_720.mp4?source=fallback', 'ha... | t3_1pvbfja | /r/LocalLLaMA/comments/1pvbfja/a_karnatka_devotee_gives_rs_200_crore_lord_rams/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'MnoxaGxzeHE0YzlnMadY9Qpf3LcAqwjSReTxNbfItM8V7YMa68bkh3WKx_cj', 'resolutions': [{'height': 135, 'url': 'https://external-preview.redd.it/MnoxaGxzeHE0YzlnMadY9Qpf3LcAqwjSReTxNbfItM8V7YMa68bkh3WKx_cj.png?width=108&crop=smart&format=pjpg&auto=webp&s=c7fc8f1bb99b0c714c4b456c6ea7829a60a5... | ||
Strix Halo First Impressions | 46 | It's awesome for LLMs.
It's not fast for dense models, but it's decent with moe models.
I run devstral 2 123b (iq4\_xs) in kilo code (dense model) and dang it's smart, makes me think the free tier of api are about the same quant/context (I have 128k locally).
But, gpt-oss 120b is where this really flies. It's na... | 2025-12-25T10:37:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pvaqp0/strix_halo_first_impressions/ | Fit-Produce420 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvaqp0 | false | null | t3_1pvaqp0 | /r/LocalLLaMA/comments/1pvaqp0/strix_halo_first_impressions/ | false | false | self | 46 | null |
Thoughts on picking up dual RTX 3090s at this point? | 22 | I know, you guys probably get this question a lot, but could use some help like always.
I'm currently running an RTX 4080 and have been playing around with Qwen 3 14B and similar LLaMA models. But now I really want to try running larger models, specifically in the 70B range.
I'm a native Korean speaker, and honestly,... | 2025-12-25T10:10:53 | https://www.reddit.com/r/LocalLLaMA/comments/1pvacv8/thoughts_on_picking_up_dual_rtx_3090s_at_this/ | Affectionate-Bid-650 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvacv8 | false | null | t3_1pvacv8 | /r/LocalLLaMA/comments/1pvacv8/thoughts_on_picking_up_dual_rtx_3090s_at_this/ | false | false | self | 22 | null |
Open AI API compatible server for STT/TTS to connect to OpenWebUI. | 3 | Hello everyone.
I need a little help to choose the right tools, I want to know what others are using for STT and TTS tools for OpenWebUI. I know it has both built-in, but I want to try new things and more natural voices too. I researched a little and found these tools
I find these tools for now:
[Speaches AI ](https... | 2025-12-25T10:07:16 | https://www.reddit.com/r/LocalLLaMA/comments/1pvab1g/open_ai_api_compatible_server_for_stttts_to/ | NervousAlien55 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvab1g | false | null | t3_1pvab1g | /r/LocalLLaMA/comments/1pvab1g/open_ai_api_compatible_server_for_stttts_to/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'KKcLQbIIo_a4cgzMo61sAEUe8ZwqYENV6r420HZlqi4', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/KKcLQbIIo_a4cgzMo61sAEUe8ZwqYENV6r420HZlqi4.png?width=108&crop=smart&auto=webp&s=bffdc6f465333e37ff58485a9a5bc8d06e9f961c', 'width': 108}, {'height': 216, 'url': '... |
I’m trying to explain interpretation drift — but reviewers keep turning it into a temperature debate. Rejected from arXiv… help me fix this paper? | 0 | Hello!
I’m stuck and could use sanity checks thank you!
I’m working on a white paper about something that keeps happening when I test LLMs:
* Identical prompt → 4 models → 4 different **interpretations** → 4 different M&A valuations (tried health care and got different patient diagnosis as well)
* Identical prompt →... | 2025-12-25T09:27:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pv9q0n/im_trying_to_explain_interpretation_drift_but/ | Beneficial-Pear-1485 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv9q0n | false | null | t3_1pv9q0n | /r/LocalLLaMA/comments/1pv9q0n/im_trying_to_explain_interpretation_drift_but/ | false | false | self | 0 | null |
Anyone tried Strix Halo + Devstral 2 123B Quant? | 3 | Merry Christmas!
as the title reads, has anyone tried to host the dense Devstral 2 123B model on an AMD Al Max+ 395 128GB device?
| 2025-12-25T09:25:42 | https://www.reddit.com/r/LocalLLaMA/comments/1pv9p5y/anyone_tried_strix_halo_devstral_2_123b_quant/ | therealAtten | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv9p5y | false | null | t3_1pv9p5y | /r/LocalLLaMA/comments/1pv9p5y/anyone_tried_strix_halo_devstral_2_123b_quant/ | false | false | self | 3 | null |
Gemini api in Firecrawl | 0 | I am etting up Firecrawl in my docker but I don't have openai api key but i have gemini instead, how can i make my the firecrawl to run through gemini api key? | 2025-12-25T08:47:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pv953b/gemini_api_in_firecrawl/ | EntertainmentSad1863 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv953b | false | null | t3_1pv953b | /r/LocalLLaMA/comments/1pv953b/gemini_api_in_firecrawl/ | false | false | self | 0 | null |
My local AI setup now rivals the cloud. This HY100 actually delivers. | 1 | [removed] | 2025-12-25T08:23:17 | https://www.reddit.com/r/LocalLLaMA/comments/1pv8t64/my_local_ai_setup_now_rivals_the_cloud_this_hy100/ | LogicBomb139 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv8t64 | false | null | t3_1pv8t64 | /r/LocalLLaMA/comments/1pv8t64/my_local_ai_setup_now_rivals_the_cloud_this_hy100/ | false | false | 1 | null | |
Budget build | 2 | Is it possible to build anything that get decent performance on medium sized models for 1500$? If yes, what kind of specs would you recommend? | 2025-12-25T08:23:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pv8t4p/budget_build/ | Dry_Fix6495 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv8t4p | false | null | t3_1pv8t4p | /r/LocalLLaMA/comments/1pv8t4p/budget_build/ | false | false | self | 2 | null |
CVE-2025-51471 – Ollama auth tokens can be stolen via malicious model URLs | 46 | If you use Ollama with private or organization models, this is worth being aware
of.
**CVE-2025-51471** allows an attacker-controlled model registry to capture
authentication tokens by abusing the registry authentication flow.
This happens during a normal `ollama pull`
* No malware.
* No exploit chain.
* Just... | 2025-12-25T08:17:55 | https://www.reddit.com/r/LocalLLaMA/comments/1pv8qiv/cve202551471_ollama_auth_tokens_can_be_stolen_via/ | DueFaithlessness4550 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv8qiv | false | null | t3_1pv8qiv | /r/LocalLLaMA/comments/1pv8qiv/cve202551471_ollama_auth_tokens_can_be_stolen_via/ | false | false | self | 46 | null |
Accidental reply to empty prompt. | 0 | Accidentally send empty prompt to an LLM while debugging…
reply (could be precooked but I didn’t find evidence on the net).
*Adjusts non-existent tie and accidentally knocks over a digital coffee mug*
**BOOM!** There they are! The absolute legend, the titan of industry, the person for whom the "Refresh" button was t... | 2025-12-25T08:17:44 | https://www.reddit.com/r/LocalLLaMA/comments/1pv8qfg/accidental_reply_to_empty_prompt/ | leo-k7v | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv8qfg | false | null | t3_1pv8qfg | /r/LocalLLaMA/comments/1pv8qfg/accidental_reply_to_empty_prompt/ | false | false | self | 0 | null |
I was waiting for Minimax and MiMo-V2-Flash arrived!!! | 33 | [MiMo-V2-Flash llama](https://preview.redd.it/m8gg48gh5b9g1.png?width=1854&format=png&auto=webp&s=ded00e01296c618dece05a1eb812bd4abacb8236)
Nice Christmas present guys! [https://www.reddit.com/r/LocalLLaMA/comments/1pv04uy/model\_support\_mimov2flash\_by\_ngxson\_pull\_request/](https://www.reddit.com/r/LocalLLaMA/co... | 2025-12-25T08:10:38 | https://www.reddit.com/r/LocalLLaMA/comments/1pv8mqt/i_was_waiting_for_minimax_and_mimov2flash_arrived/ | LegacyRemaster | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv8mqt | false | null | t3_1pv8mqt | /r/LocalLLaMA/comments/1pv8mqt/i_was_waiting_for_minimax_and_mimov2flash_arrived/ | false | false | 33 | null | |
GLM 4.7 has now taken #2 on Website Arena | 270 | It is #1 overall amongst all open weight models and ranks just behind Gemini 3 Pro Preview, a 15-place jump from GLM 4.6 | 2025-12-25T07:52:46 | Difficult-Cap-7527 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pv8dbb | false | null | t3_1pv8dbb | /r/LocalLLaMA/comments/1pv8dbb/glm_47_has_now_taken_2_on_website_arena/ | false | false | default | 270 | {'enabled': True, 'images': [{'id': 'el2uxr8y2b9g1', 'resolutions': [{'height': 64, 'url': 'https://preview.redd.it/el2uxr8y2b9g1.jpeg?width=108&crop=smart&auto=webp&s=41b676c6f2a918ab8e8381fa06b95f8ddf50cdf8', 'width': 108}, {'height': 129, 'url': 'https://preview.redd.it/el2uxr8y2b9g1.jpeg?width=216&crop=smart&auto=w... | |
Blaming myself for not hoarding rams earlier this year | 170 | 2025-12-25T07:35:38 | Greenscarf_005 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pv849k | false | null | t3_1pv849k | /r/LocalLLaMA/comments/1pv849k/blaming_myself_for_not_hoarding_rams_earlier_this/ | false | false | default | 170 | {'enabled': True, 'images': [{'id': '6x4qpterza9g1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/6x4qpterza9g1.jpeg?width=108&crop=smart&auto=webp&s=4cc6eb2d6de6bcbc39910edf9d92b51ea539d31a', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/6x4qpterza9g1.jpeg?width=216&crop=smart&auto=... | ||
Fine-tuning gpt-oss-20B on a Ryzen 5950X because ROCm wouldn’t cooperate with bf16. | 13 | at 1am.
I am fine-tuning my personal AI, into a gpt-oss-20b model, via LoRA, on a Ryzen 5950x CPU.
I had to painstakingly deal with massive axolotl errors, venv and python version hell, yaml misconfigs, even fought with my other ai assistant, whom literally told me this couldn’t be done on my system…. for hours and h... | 2025-12-25T06:39:08 | Double-Primary-2871 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pv7a2d | false | null | t3_1pv7a2d | /r/LocalLLaMA/comments/1pv7a2d/finetuning_gptoss20b_on_a_ryzen_5950x_because/ | false | false | 13 | {'enabled': True, 'images': [{'id': 'sGmoTqvjSxZQGiKhxBFpa21bJfRYQ7L_sFMiJ--unN0', 'resolutions': [{'height': 47, 'url': 'https://preview.redd.it/48vgazvupa9g1.png?width=108&crop=smart&auto=webp&s=c29caf1a8d4ecec2d2ad06fe4989fc1c46c12fc4', 'width': 108}, {'height': 94, 'url': 'https://preview.redd.it/48vgazvupa9g1.png?... | ||
What high parameter NSFW models would you recommend for my setup: | 5 | 5090 + intel i9 14900k + 96 gb DDR5 5600MHz (upgraded to this setup for video gen. New to local LLMs, so I'm not sure how system ram is utilized.) | 2025-12-25T06:29:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pv74vc/what_high_parameter_nsfw_models_would_you/ | WoodenTableForest | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv74vc | false | null | t3_1pv74vc | /r/LocalLLaMA/comments/1pv74vc/what_high_parameter_nsfw_models_would_you/ | false | false | nsfw | 5 | null |
Best current FIM model (up to 4b) | 6 | I'm using a MacBook Air, and I'd like to get low latency on the model when I'm coding.
Is this such a model that is recently released that would use with FIM completion? | 2025-12-25T05:51:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pv6jnk/best_current_fim_model_up_to_4b/ | Sufficient-Bid3874 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv6jnk | false | null | t3_1pv6jnk | /r/LocalLLaMA/comments/1pv6jnk/best_current_fim_model_up_to_4b/ | false | false | self | 6 | null |
Minimal Local GPU Monitoring Utility I built | 7 | GitHub Repo: [GPU Utility](https://github.com/DataBoySu/MyGPU)
History, trends, alarm, visualization, processes, termination of said processes, saving logs, stress-testing, and bench marking.
Made for those experimenting, playing around with models as a beginner!
Do give feed backs and Merry Christmas! | 2025-12-25T05:49:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pv6il0/minimal_local_gpu_monitoring_utility_i_built/ | Pretend-Pangolin-846 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv6il0 | false | null | t3_1pv6il0 | /r/LocalLLaMA/comments/1pv6il0/minimal_local_gpu_monitoring_utility_i_built/ | false | false | self | 7 | {'enabled': False, 'images': [{'id': 'eyVIheZH71kx8aXX7IldLh9pFVNB5fNNvWHulh8Lkwc', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/eyVIheZH71kx8aXX7IldLh9pFVNB5fNNvWHulh8Lkwc.png?width=108&crop=smart&auto=webp&s=cfc3541801365ac68232fcc4abbfa3fed1cd2fb7', 'width': 108}, {'height': 108, 'url': 'h... |
Thoughts ? | 174 | 2025-12-25T05:03:01 | Difficult-Cap-7527 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pv5shc | false | null | t3_1pv5shc | /r/LocalLLaMA/comments/1pv5shc/thoughts/ | false | false | default | 174 | {'enabled': True, 'images': [{'id': 'nlxk873n8a9g1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/nlxk873n8a9g1.jpeg?width=108&crop=smart&auto=webp&s=b143b2d8315a6e1f6cd37ce98af44135120225d5', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/nlxk873n8a9g1.jpeg?width=216&crop=smart&auto=... | ||
Google didn't give you Gemma 4 for Christmas: understand why that's bad. | 0 | Yes, you and I, we were all deceived. Google, owner of Gemma, one of the few (if not the only) models that truly cares about any language other than English and Chinese, didn't give us this Christmas present.
This means we probably won't have Gemma 4 this year. And without Gemma 4 it also means that my loneliness and ... | 2025-12-25T04:58:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pv5pt7/google_didnt_give_you_gemma_4_for_christmas/ | CodeAnguish | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv5pt7 | false | null | t3_1pv5pt7 | /r/LocalLLaMA/comments/1pv5pt7/google_didnt_give_you_gemma_4_for_christmas/ | false | false | self | 0 | null |
How I think about log types, spans, and traces in LLM systems | 0 | I keep running into confusion around LLM observability because we often call everything a “log”, even though very different things are happening.
What started to make sense for me was explicitly separating **log / event types**, **spans**, and **traces**.
Here’s how I currently think about it.
**Different log (event... | 2025-12-25T04:50:27 | https://www.reddit.com/r/LocalLLaMA/comments/1pv5l48/how_i_think_about_log_types_spans_and_traces_in/ | ZookeepergameSad4818 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv5l48 | false | null | t3_1pv5l48 | /r/LocalLLaMA/comments/1pv5l48/how_i_think_about_log_types_spans_and_traces_in/ | false | false | self | 0 | null |
Archive-AI tech stack. | 0 | FULL DISCLOSURE: This is the text report from a full evaluation by Claude Code.
\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*\*
I'll explore the codebase to understand the technologies, libraries, and optimizations used.
● Explore(Explore codebase structure and technologies)
⎿ D... | 2025-12-25T04:02:17 | https://www.reddit.com/r/LocalLLaMA/comments/1pv4snk/archiveai_tech_stack/ | david_jackson_67 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv4snk | false | null | t3_1pv4snk | /r/LocalLLaMA/comments/1pv4snk/archiveai_tech_stack/ | false | false | self | 0 | null |
Setting up a new system to run Gemma 4 on Christmas Day. | 0 | I'm using a GPU with 22.5GB of VRAM to run the Gemma 4 that we have at home for Christmas. | 2025-12-25T03:37:52 | CodeAnguish | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pv4e6a | false | null | t3_1pv4e6a | /r/LocalLLaMA/comments/1pv4e6a/setting_up_a_new_system_to_run_gemma_4_on/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'ub04ddjit99g1', 'resolutions': [{'height': 109, 'url': 'https://preview.redd.it/ub04ddjit99g1.jpeg?width=108&crop=smart&auto=webp&s=cdc421ab7f08c745959773b661c97fe3c40eb56b', 'width': 108}, {'height': 219, 'url': 'https://preview.redd.it/ub04ddjit99g1.jpeg?width=216&crop=smart&auto=... | |
Speed vs. Substance: Is Sparse Attention Making LLMs "Dumber"? | 14 | Hey r/LocalLLaMA, my first post!!
I've been digging into the latest advancements in attention mechanisms, and it's fascinating how the field is evolving. We're seeing a clear trend towards efficiency: methods like DeepSeek's DSA ([DeepSeek Sparse Attention](https://arxiv.org/pdf/2512.02556)) and [Qwen's Gated Attentio... | 2025-12-25T03:31:53 | https://www.reddit.com/r/LocalLLaMA/comments/1pv4aug/speed_vs_substance_is_sparse_attention_making/ | madSaiyanUltra_9789 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv4aug | false | null | t3_1pv4aug | /r/LocalLLaMA/comments/1pv4aug/speed_vs_substance_is_sparse_attention_making/ | false | false | 14 | null | |
llama.cpp compile error: ptxas fatal : Ptx assembly aborted due to errors | 6 | Fist of all I want to wish you all a very Merry Christmas and hope you are all having an amazing time with your family and friends. hopefully none of you are reading this on Christmas Eve/Christmas day.
I am writing this on Christmas Eve/Christmas day because I wanted to spin up my LLM server because a couple of my vi... | 2025-12-25T02:49:01 | https://www.reddit.com/r/LocalLLaMA/comments/1pv3lap/llamacpp_compile_error_ptxas_fatal_ptx_assembly/ | munkiemagik | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv3lap | false | null | t3_1pv3lap | /r/LocalLLaMA/comments/1pv3lap/llamacpp_compile_error_ptxas_fatal_ptx_assembly/ | false | false | self | 6 | null |
End-of-year thought: local LLMs change how honest you can be | 15 | One thing I didn’t expect after switching to local models:
I think more honestly when nothing leaves my machine.
This week I’ve been reflecting on projects and ideas using a local LLM alongside **Saylo** for visual structuring — no logs, no cloud context, just slow thinking.
Curious if others feel this too: does ru... | 2025-12-25T02:26:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pv37mh/endofyear_thought_local_llms_change_how_honest/ | Ok-Contact-8753 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv37mh | false | null | t3_1pv37mh | /r/LocalLLaMA/comments/1pv37mh/endofyear_thought_local_llms_change_how_honest/ | false | false | self | 15 | null |
FYI GLM 4.7 is way more censored than 4.6. | 142 | 4.6 was excellent at adult writing. | 2025-12-25T02:08:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pv2wwm/fyi_glm_47_is_way_more_censored_than_46/ | bigman11 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv2wwm | false | null | t3_1pv2wwm | /r/LocalLLaMA/comments/1pv2wwm/fyi_glm_47_is_way_more_censored_than_46/ | false | false | self | 142 | null |
AI killing the planet? My LocalLLama is more efficient than my lunch! | 0 | People love to act like data centers are "drinking" the world dry, but it’s actually the opposite: **silicon is way more water-efficient than biology.**
Most modern AI facilities use "closed-loop" cooling, meaning they recycle the same water over and over like a car radiator, rather than wasting it.
Even wh... | 2025-12-25T02:03:07 | budz | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pv2tvj | false | null | t3_1pv2tvj | /r/LocalLLaMA/comments/1pv2tvj/ai_killing_the_planet_my_localllama_is_more/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'qs4u6t4bc99g1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/qs4u6t4bc99g1.jpeg?width=108&crop=smart&auto=webp&s=fa477580f9d734d46899b37fba544d30d193a1f1', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/qs4u6t4bc99g1.jpeg?width=216&crop=smart&auto=... | |
Day 17: 21 Days of Building a Small Language Model: Mixture of Experts | 21 | Welcome to Day 17 of 21 Days of Building a Small Language Model. The topic for today is Mixture of Experts (MoE), one of the most fascinating architectures in modern language models. Yesterday we explored optimizers and how they shape the learning process. Today, we'll discover how MoE enables models with trillions of ... | 2025-12-25T01:51:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pv2mp4/day_17_21_days_of_building_a_small_language_model/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv2mp4 | false | null | t3_1pv2mp4 | /r/LocalLLaMA/comments/1pv2mp4/day_17_21_days_of_building_a_small_language_model/ | false | false | 21 | null | |
Ten former Samsung employees arrested for tech leak to CXMT | 4 | While we might enjoy cheap RAM from CXMT in the near future, we should keep in mind that this is made possible partly by some shady practices of CXMT.
[https://www.tomshardware.com/tech-industry/semiconductors/ten-former-samsung-employees-arrested-for-industrial-espionage-charges-for-giving-china-chipmaker-10nm-tech-e... | 2025-12-25T01:47:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pv2kcl/ten_former_samsung_employees_arrested_for_tech/ | Ok_Warning2146 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv2kcl | false | null | t3_1pv2kcl | /r/LocalLLaMA/comments/1pv2kcl/ten_former_samsung_employees_arrested_for_tech/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'IC4jlmD2D8X3mCoUH2E_VKZIecOH30XdxEGM7I5otIA', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/IC4jlmD2D8X3mCoUH2E_VKZIecOH30XdxEGM7I5otIA.png?width=108&crop=smart&auto=webp&s=832493fcfec36452aeef661cde5328fcdf229b6c', 'width': 108}, {'height': 121, 'url': 'h... |
Why are my local LLMs all sucking at tool use? | 1 | [removed] | 2025-12-25T01:39:27 | https://www.reddit.com/r/LocalLLaMA/comments/1pv2fmd/why_are_my_local_llms_all_sucking_at_tool_use/ | Guilty_Nerve5608 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv2fmd | false | null | t3_1pv2fmd | /r/LocalLLaMA/comments/1pv2fmd/why_are_my_local_llms_all_sucking_at_tool_use/ | false | false | self | 1 | null |
All of the major open weight labs have shifted to large params general models instead of smaller, more focused models. By this time next year, there won’t be much “local” about this sub unless the paradigm shifts to smaller models good at specific domains. | 219 | It’s happening very openly but very subtly. The champions of open weight models are slowly increasing their sizes to the point a very small portion of this sub can run them locally. An even smaller portion can run them as benchmarked (no quants). Many are now having to resort to Q3 and below, which will have a signific... | 2025-12-25T01:34:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pv2cnz/all_of_the_major_open_weight_labs_have_shifted_to/ | LocoMod | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv2cnz | false | null | t3_1pv2cnz | /r/LocalLLaMA/comments/1pv2cnz/all_of_the_major_open_weight_labs_have_shifted_to/ | false | false | self | 219 | null |
can you suggest a local opensource AI Memory System that can store the chat corss anywhere? | 0 | i want to build a second me. if there any local opensource AI memory can store the chats cross CLAUDE CODE、CURSOR、WEB CHAT and any llm？i have tried some but not powerful enough | 2025-12-25T01:00:15 | https://www.reddit.com/r/LocalLLaMA/comments/1pv1s0g/can_you_suggest_a_local_opensource_ai_memory/ | Original_Awareness53 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv1s0g | false | null | t3_1pv1s0g | /r/LocalLLaMA/comments/1pv1s0g/can_you_suggest_a_local_opensource_ai_memory/ | false | false | self | 0 | null |
Question on existing hardware and alexa replacement for home assistant. | 2 | I recently started building out home assistant to replace using alexa for my home automation. I picked up a geekom it15 that I am using with proxmox and ha. I am planning on running frigate with ai inference as well. I want to set up voice to replace alexa and would love to keep it local. I know I can use the voice pre... | 2025-12-25T00:59:12 | https://www.reddit.com/r/LocalLLaMA/comments/1pv1raa/question_on_existing_hardware_and_alexa/ | mickeybob00 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv1raa | false | null | t3_1pv1raa | /r/LocalLLaMA/comments/1pv1raa/question_on_existing_hardware_and_alexa/ | false | false | self | 2 | null |
We keep optimizing LLM inference. What if most requests don’t need a model call at all? | 0 | I’ve been working on a systems paper that questions a pretty basic assumption in LLM serving:
That every request deserves a transformer inference.
Instead of optimizing how transformers run, we looked at when and if they actually even need to.
We introduce **Meaning-First Execution (MFEE)**, a lightweight control-pl... | 2025-12-25T00:58:02 | https://www.reddit.com/r/LocalLLaMA/comments/1pv1qll/we_keep_optimizing_llm_inference_what_if_most/ | anima-core | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv1qll | false | null | t3_1pv1qll | /r/LocalLLaMA/comments/1pv1qll/we_keep_optimizing_llm_inference_what_if_most/ | false | false | self | 0 | null |
Planning to upgrade from 3060 to 5070 Ti for Local AI. Thoughts? | 26 | RAM prices have been crazy lately, right? I have a feeling other PC parts are going to skyrocket next year too, so I want to upgrade before that happens.
I run local AI models like Stable Diffusion, Gemma 3, and Qwen at home. I use them for fun, but also to assist with my hobby game development.
Currently, I'm rockin... | 2025-12-25T00:45:02 | shoonee_balavolka | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pv1ibv | false | null | t3_1pv1ibv | /r/LocalLLaMA/comments/1pv1ibv/planning_to_upgrade_from_3060_to_5070_ti_for/ | false | false | default | 26 | {'enabled': True, 'images': [{'id': 'q5nnyofoy89g1', 'resolutions': [{'height': 80, 'url': 'https://preview.redd.it/q5nnyofoy89g1.png?width=108&crop=smart&auto=webp&s=2afc51aae829f3de3a5d6fe833e2543981e8cf40', 'width': 108}, {'height': 161, 'url': 'https://preview.redd.it/q5nnyofoy89g1.png?width=216&crop=smart&auto=web... | |
Dec 2025 - Top Local Models | 27 | After my last quarterly "new AI models are so exciting" burnout I'm sensing there's enough improvement to play with new things again. Help me out - what's your current favorites and VRAM requirements. Obviously we're not talking Claude Sonnet 4.5 or GPT 5.2 levels but how you feeling they compare to them. Whatever use ... | 2025-12-25T00:40:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pv1fbu/dec_2025_top_local_models/ | val_in_tech | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv1fbu | false | null | t3_1pv1fbu | /r/LocalLLaMA/comments/1pv1fbu/dec_2025_top_local_models/ | false | false | self | 27 | null |
MoE.. will OS/Local 32GB to 96GB get as good at coding as current frontier models? | 16 | When MoE came along.. I was hoping we'd see smaller more specialized models that we could load in less VRAM GPUs. Where as the frontier models are clearly massive, they also contain a crap ton of info about literally everything. I just want a really good coding LLM in 3 or 4 languages, six tops. I know about how the "v... | 2025-12-25T00:32:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pv1a85/moe_will_oslocal_32gb_to_96gb_get_as_good_at/ | Tiny-Sink-9290 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv1a85 | false | null | t3_1pv1a85 | /r/LocalLLaMA/comments/1pv1a85/moe_will_oslocal_32gb_to_96gb_get_as_good_at/ | false | false | self | 16 | null |
2012 system running LLM using Llama with Vulkan backend | 1 | Holidays gave me some time off so dusted off the old Bulldozer system and ran a few benchmarks using a few Nvidia [GTX-1070](https://www.techpowerup.com/gpu-specs/geforce-gtx-1070.c2840) 8GB GPUs.
2012 System: AMD FX(tm)-8350 CPU, ASUS M5A97 R2.0 motherboard, 32gb DDR3 memory.
GPU: Nvidia [GTX-1070](https://www.tech... | 2025-12-25T00:20:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pv12to/2012_system_running_llm_using_llama_with_vulkan/ | tabletuser_blogspot | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv12to | false | null | t3_1pv12to | /r/LocalLLaMA/comments/1pv12to/2012_system_running_llm_using_llama_with_vulkan/ | false | false | 1 | null | |
How do you handle "Versioning" non-deterministic agent outputs? | 3 | \*Not selling anything\* I'm building a system to audit and version control AI agents (Node/Postgres stack). The goal is to create a "commit" every time an agent makes a decision so it can be audited later (critical for compliance). When you are testing local models, how do you handle reproducibility? If I version the ... | 2025-12-25T00:18:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pv11fn/how_do_you_handle_versioning_nondeterministic/ | bumswagger | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv11fn | false | null | t3_1pv11fn | /r/LocalLLaMA/comments/1pv11fn/how_do_you_handle_versioning_nondeterministic/ | false | false | self | 3 | null |
Built an AI memory system with ACT-R cognitive architecture | 0 | Been working on a memory system for Multi-LLM usage for about 2 years. Wanted to share some technical details since this sub has been helpful. Hopefully will help others with insight to the future of memory for AI.
The core idea: instead of simple vector storage, I implemented ACT-R (the cognitive architecture NASA/DA... | 2025-12-25T00:08:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pv0uto/built_an_ai_memory_system_with_actr_cognitive/ | NarwhalBackground589 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv0uto | false | null | t3_1pv0uto | /r/LocalLLaMA/comments/1pv0uto/built_an_ai_memory_system_with_actr_cognitive/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '7rbuUnHpexYKG8RWIeIde209qz4vb9NCTLICh61rzDo', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/7rbuUnHpexYKG8RWIeIde209qz4vb9NCTLICh61rzDo.jpeg?width=108&crop=smart&auto=webp&s=838c6c586ef42617821cc536719992445dc39f56', 'width': 108}, {'height': 162, 'url': '... |
Invoice extraction | 1 | question about locally extracting data from german multiple layout invoices, i use paddleocr to get real clean markdowns, and Text, and Layout extraction, but in the step which i feed it in either llm or Vllm to extract comes always mistakes that changes with the invoice type sometimes qty wrong or take price instead o... | 2025-12-24T23:37:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pv0asi/invoice_extraction/ | Visual_Strawberry276 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv0asi | false | null | t3_1pv0asi | /r/LocalLLaMA/comments/1pv0asi/invoice_extraction/ | false | false | self | 1 | null |
ik_llama GLM 4.7 : 8~9 tokens/sec (ubergarm) instead of 4.5~5 tokens/sec (llama.cpp) | 28 | [ik\_llama GLM 4.7](https://preview.redd.it/gfm412vnl89g1.png?width=3108&format=png&auto=webp&s=7d6a804c1515e55a44e102643d74ed1ed29f6e1b)
llama-server.exe --model "C:\\gptmodel\\ubergarm\\GLM-4.7-GGUF\\GLM-4.7-IQ2\_KL-00001-of-00004.gguf" -ger --merge-qkv -ngl 99 --n-cpu-moe 40 -ub 4096 -b 4096 --threads 16 --parallel... | 2025-12-24T23:35:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pv093v/ik_llama_glm_47_89_tokenssec_ubergarm_instead_of/ | LegacyRemaster | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv093v | false | null | t3_1pv093v | /r/LocalLLaMA/comments/1pv093v/ik_llama_glm_47_89_tokenssec_ubergarm_instead_of/ | false | false | 28 | null | |
model: support MiMo-V2-Flash by ngxson · Pull Request #18328 · ggml-org/llama.cpp | 41 | 2025-12-24T23:28:46 | https://github.com/ggml-org/llama.cpp/pull/18328 | jacek2023 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pv04uy | false | null | t3_1pv04uy | /r/LocalLLaMA/comments/1pv04uy/model_support_mimov2flash_by_ngxson_pull_request/ | false | false | default | 41 | {'enabled': False, 'images': [{'id': 'ljL76ES0ycKhBmmY2ipEg2qGxnKYFbw_FzMzU74PR0Q', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/ljL76ES0ycKhBmmY2ipEg2qGxnKYFbw_FzMzU74PR0Q.png?width=108&crop=smart&auto=webp&s=f84523d6263dac898a80dc33b9d123c3d5f048a1', 'width': 108}, {'height': 108, 'url': 'h... | |
What is llama.cpp equivalent for image & video gen? | 43 | I've run **llama.cpp** to generate text from GGUF models before on a server without internet. I can just scp the GGUF to the server and run it, even build llama.cpp on it.
Most of the examples I found involve setting up Gradio, using python scripts, and having internet to install python packages or even a MacOS app (I... | 2025-12-24T23:24:39 | https://www.reddit.com/r/LocalLLaMA/comments/1pv022d/what_is_llamacpp_equivalent_for_image_video_gen/ | ClimateBoss | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pv022d | false | null | t3_1pv022d | /r/LocalLLaMA/comments/1pv022d/what_is_llamacpp_equivalent_for_image_video_gen/ | false | false | self | 43 | null |
Models with higher sparsity than MoE | 20 | This [paper](https://arxiv.org/abs/2512.09723) has a nice weigh-in on some recent model architectures with potential for extreme sparsity.
- (normal MoE) Sparse Mixture-of-Experts [1:100]
- Memory Layers [≤1:1000]
- Lookup-based Models [≤1:100000]
Having higher sparsity doesn't necessarily imply poor performance, as... | 2025-12-24T23:17:50 | https://www.reddit.com/r/LocalLLaMA/comments/1puzxlr/models_with_higher_sparsity_than_moe/ | Aaaaaaaaaeeeee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puzxlr | false | null | t3_1puzxlr | /r/LocalLLaMA/comments/1puzxlr/models_with_higher_sparsity_than_moe/ | false | false | self | 20 | null |
2× RTX Pro 6000 Blackwell (96GB) + SGLang NVFP4: loads w/ --quantization modelopt_fp4, but DeepGemm/FP8-KV warnings + 100% GPU util when idle | 6 |
Hey all posting a detailed repro in case other Blackwell users are seeing the same things. I’m running SGLang on a dual RTX Pro 6000 Blackwell workstation and trying to serve a ModelOpt NVFP4 checkpoint with very long context.
# Hardware / software
* GPUs: 2× NVIDIA RTX PRO 6000 Blackwell (96GB each)
* Driver: 580.... | 2025-12-24T23:10:25 | https://www.reddit.com/r/LocalLLaMA/comments/1puzsm5/2_rtx_pro_6000_blackwell_96gb_sglang_nvfp4_loads/ | texasdude11 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puzsm5 | false | null | t3_1puzsm5 | /r/LocalLLaMA/comments/1puzsm5/2_rtx_pro_6000_blackwell_96gb_sglang_nvfp4_loads/ | false | false | self | 6 | {'enabled': False, 'images': [{'id': 'gSvQ5k85g4775wqgZ2Kkuwvry8oqifkOPGzyQdWQyJg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/gSvQ5k85g4775wqgZ2Kkuwvry8oqifkOPGzyQdWQyJg.png?width=108&crop=smart&auto=webp&s=57de65e89ddade607c52590f615d7d35d9f80d1a', 'width': 108}, {'height': 108, 'url': 'h... |
Memora - A persistent memory layer for Claude Code with live knowledge graph visualization | 5 | I built an MCP server that gives Claude Code persistent memory across sessions.
**What it does:**
* Stores memories in SQLite with semantic search
* Auto-links related memories based on similarity
* Interactive knowledge graph that updates in real-time
* Duplicate detection, issue tracking, TODOs
* Works with Claude ... | 2025-12-24T23:07:29 | https://www.reddit.com/r/LocalLLaMA/comments/1puzqpe/memora_a_persistent_memory_layer_for_claude_code/ | spokv | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puzqpe | false | null | t3_1puzqpe | /r/LocalLLaMA/comments/1puzqpe/memora_a_persistent_memory_layer_for_claude_code/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': 'owS2rr5iTZyYvLFNQdhz6LwdZHrdy9e7Q8gomrWVBZI', 'resolutions': [{'height': 113, 'url': 'https://external-preview.redd.it/owS2rr5iTZyYvLFNQdhz6LwdZHrdy9e7Q8gomrWVBZI.png?width=108&crop=smart&auto=webp&s=4416d359caf186befa0fcb242102620b581d622e', 'width': 108}, {'height': 227, 'url': '... |
Merry Christmas! 🎄 🎁 | 82 | Merry Christmas! 🥳 | 2025-12-24T23:03:48 | https://www.reddit.com/r/LocalLLaMA/comments/1puzo82/merry_christmas/ | Rare_Carry9799 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puzo82 | false | null | t3_1puzo82 | /r/LocalLLaMA/comments/1puzo82/merry_christmas/ | false | false | self | 82 | null |
Dual 5060 Ti 16GB vs Radeon Instinct Mi50 32GB | 9 | I already have one of each GPU in my system (B850 AI TOP) and use both Ubuntu and Windows 11 (mostly Jan.ai, some LM Studio). While I was able to switch BIOS on the Mi50, I am unable to run LLMs under windows. So currently, I am playing with idea of replacing the Mi50 with another 5060 Ti 16GB. ATM, I mostly use GPT-OS... | 2025-12-24T22:59:50 | https://www.reddit.com/r/LocalLLaMA/comments/1puzlev/dual_5060_ti_16gb_vs_radeon_instinct_mi50_32gb/ | GerchSimml | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puzlev | false | null | t3_1puzlev | /r/LocalLLaMA/comments/1puzlev/dual_5060_ti_16gb_vs_radeon_instinct_mi50_32gb/ | false | false | self | 9 | null |
Llama.cpp multiple model presets appreciation post | 50 | Recently Llama.cpp [added support](https://github.com/ggml-org/llama.cpp/pull/17859) for [model presets](https://github.com/ggml-org/llama.cpp/tree/master/tools/server#model-presets), which is a awsome feature that allow model loading and switching, and I have not seen much talk about. I would like to show my appreciat... | 2025-12-24T22:55:44 | https://www.reddit.com/r/LocalLLaMA/comments/1puzin1/llamacpp_multiple_model_presets_appreciation_post/ | robiinn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puzin1 | false | null | t3_1puzin1 | /r/LocalLLaMA/comments/1puzin1/llamacpp_multiple_model_presets_appreciation_post/ | false | false | self | 50 | {'enabled': False, 'images': [{'id': '1EohnW6I2Qe4foNHIffwhFjgslN4bZug0hdhRtxFIA4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/1EohnW6I2Qe4foNHIffwhFjgslN4bZug0hdhRtxFIA4.png?width=108&crop=smart&auto=webp&s=be2b37732b2f23f289c636561f12baa51695a062', 'width': 108}, {'height': 108, 'url': 'h... |
LocalRAG-Go: Offline RAG toolkit in Go with Clean Architecture | 3 | Built a local RAG toolkit in Go. Query your documents with LLMs, entirely offline.
**Why Go?** Most RAG implementations are Python-only. Wanted something that compiles to a single binary and doesn't need a Python environment to run.
**Features:**
\- Clean Architecture (ports/adapters)
\- Ollama for embeddings + LLM... | 2025-12-24T22:52:59 | https://www.reddit.com/r/LocalLLaMA/comments/1puzgsx/localraggo_offline_rag_toolkit_in_go_with_clean/ | Particular-Cookie500 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puzgsx | false | null | t3_1puzgsx | /r/LocalLLaMA/comments/1puzgsx/localraggo_offline_rag_toolkit_in_go_with_clean/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'Q9GOboJdz4JNHxHHQGpAN4yjjEiWAPvSzcRghyj-t-c', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Q9GOboJdz4JNHxHHQGpAN4yjjEiWAPvSzcRghyj-t-c.png?width=108&crop=smart&auto=webp&s=e827c4d9ba7bab6230b9a770be6d9a1860722434', 'width': 108}, {'height': 108, 'url': 'h... |
Guide to fine-tuning | 7 | hello guys i am looking for a guide from 0 , about fine-tuning , i am new into llm and vlm, my goal is to fine-tune qwen3-vl on text and others , any help is welcomed. | 2025-12-24T22:41:56 | https://www.reddit.com/r/LocalLLaMA/comments/1puz9bl/guide_to_finetuning/ | LahmeriMohamed | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puz9bl | false | null | t3_1puz9bl | /r/LocalLLaMA/comments/1puz9bl/guide_to_finetuning/ | false | false | self | 7 | null |
Has anyone tried finetuning LLM with financial data & personas? | 1 | Has anyone tried finetuning LLM with financial data & personas? | 2025-12-24T22:36:17 | https://www.reddit.com/r/LocalLLaMA/comments/1puz5cs/has_anyone_tried_finetuning_llm_with_financial/ | Robert-treboR | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puz5cs | false | null | t3_1puz5cs | /r/LocalLLaMA/comments/1puz5cs/has_anyone_tried_finetuning_llm_with_financial/ | false | false | self | 1 | null |
I made a good post about finetuning LLM with my notes and local LLM modes removed it despite being popular | 1 | [removed] | 2025-12-24T22:34:52 | https://www.reddit.com/r/LocalLLaMA/comments/1puz4cn/i_made_a_good_post_about_finetuning_llm_with_my/ | Robert-treboR | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puz4cn | false | null | t3_1puz4cn | /r/LocalLLaMA/comments/1puz4cn/i_made_a_good_post_about_finetuning_llm_with_my/ | false | false | 1 | null | |
Built an MCP bridge that lets AI control Cheat Engine | 1 | [removed] | 2025-12-24T22:31:46 | https://www.reddit.com/r/LocalLLaMA/comments/1puz299/built_an_mcp_bridge_that_lets_ai_control_cheat/ | helloitsj0nny | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puz299 | false | null | t3_1puz299 | /r/LocalLLaMA/comments/1puz299/built_an_mcp_bridge_that_lets_ai_control_cheat/ | false | false | self | 1 | null |
So Nvidia is buying Groq... | 0 | Yes, Groq is not local but it is an important part of the open weight ecosystem that complements and encourages model releases. Nvidia has been fairly friendly with its own open weight model releases thus far, thankfully, but consolidation is rarely going to be good for consumers in the long run. On the other hand, Nvi... | 2025-12-24T22:19:15 | https://www.reddit.com/r/LocalLLaMA/comments/1puyte4/so_nvidia_is_buying_groq/ | ___positive___ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puyte4 | false | null | t3_1puyte4 | /r/LocalLLaMA/comments/1puyte4/so_nvidia_is_buying_groq/ | false | false | self | 0 | null |
Hugging Face cache for shared machine? | 1 | We have a shared machine. I am the new sys-admin. Different users collaborate and also use same models. We would want to minimize disk usage and share as much cache as possible. What is the best way of setting this up?
I inherited the following setup for our cache. /data/ is shared.
`HF_HUB_CACHE=/data/huggin... | 2025-12-24T22:16:33 | https://www.reddit.com/r/LocalLLaMA/comments/1puyrie/hugging_face_cache_for_shared_machine/ | RealProjectivePlane | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1puyrie | false | null | t3_1puyrie | /r/LocalLLaMA/comments/1puyrie/hugging_face_cache_for_shared_machine/ | false | false | self | 1 | null |
Exclusive: Nvidia buying AI chip startup Groq's assets for about $20 billion in largest deal on record | 649 | 2025-12-24T22:14:48 | https://www.cnbc.com/2025/12/24/nvidia-buying-ai-chip-startup-groq-for-about-20-billion-biggest-deal.html | fallingdowndizzyvr | cnbc.com | 1970-01-01T00:00:00 | 0 | {} | 1puyq9r | false | null | t3_1puyq9r | /r/LocalLLaMA/comments/1puyq9r/exclusive_nvidia_buying_ai_chip_startup_groqs/ | false | false | default | 649 | {'enabled': False, 'images': [{'id': 'jvYBeKyc_OM28gIhUnO6GEg0WpsjQzWHJmf00gHtJBw', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/jvYBeKyc_OM28gIhUnO6GEg0WpsjQzWHJmf00gHtJBw.jpeg?width=108&crop=smart&auto=webp&s=d47b2319d2d2e1a868699a479b9131817e9b4aca', 'width': 108}, {'height': 121, 'url': '... | |
MiniMax M2.1 scores 43.4% on SWE-rebench (November) | 69 | Hi!
We added MiniMax M2.1 results to the December SWE-rebench update.
Please check the leaderboard: [https://swe-rebench.com/](https://swe-rebench.com/)
We’ll add GLM-4.7 and Gemini Flash 3 in the next release.
By the way, we just released a large dataset of agentic trajectories and two checkpoints trained on it,... | 2025-12-24T21:10:50 | Fabulous_Pollution10 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1puxg7h | false | null | t3_1puxg7h | /r/LocalLLaMA/comments/1puxg7h/minimax_m21_scores_434_on_swerebench_november/ | false | false | 69 | {'enabled': True, 'images': [{'id': 'UnNk31wJJ_Rn9FOKUYxfO0fq9xsh3rSekiStvAFJ7YU', 'resolutions': [{'height': 34, 'url': 'https://preview.redd.it/s0vbt46vt79g1.jpeg?width=108&crop=smart&auto=webp&s=adb0b63747f164d0db07ad447e05bdd4e2c38fab', 'width': 108}, {'height': 68, 'url': 'https://preview.redd.it/s0vbt46vt79g1.jpe... |
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