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You're using HuggingFace wrong. Stop downloading pre-quantized GGUFs and start building hardware-optimized, domain-specific models. Here's the pipeline I built to do it. | 0 | **TL;DR:** Downloading TheBloke's Q4\_K\_M and calling it a day is lazy and you're leaving massive performance on the table. I built [LlamaPajamas](https://github.com/llama-farm/LlamaPajamas) (experimental / open-source), a pipeline that downloads full-precision models, converts them to the optimal format for your spec... | 2025-11-19T17:16:18 | https://www.reddit.com/r/LocalLLaMA/comments/1p1dkzh/youre_using_huggingface_wrong_stop_downloading/ | badgerbadgerbadgerWI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1dkzh | false | null | t3_1p1dkzh | /r/LocalLLaMA/comments/1p1dkzh/youre_using_huggingface_wrong_stop_downloading/ | false | false | 0 | null | |
SAM 3: Segment Anything with Concepts, by Meta Superintelligence Labs | 231 | 2025-11-19T17:10:27 | https://huggingface.co/facebook/sam3 | xenovatech | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1p1df5y | false | null | t3_1p1df5y | /r/LocalLLaMA/comments/1p1df5y/sam_3_segment_anything_with_concepts_by_meta/ | false | false | 231 | {'enabled': False, 'images': [{'id': '4Uyf8OlIkFBtIXR-wKdBIOZqZgS3NkQSX04eUeTDY7w', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/4Uyf8OlIkFBtIXR-wKdBIOZqZgS3NkQSX04eUeTDY7w.png?width=108&crop=smart&auto=webp&s=637a3838ffd450c9527b687ec681839a39817e8e', 'width': 108}, {'height': 116, 'url': 'h... | ||
LM Studio > 2+ MCP Servers ??? | 1 | I would like to add several MCP servers to LM Studio. But when I edit mcp.json in LM Studio (Install > Edit mcp.json), one server works fine, but when I add a second one, I can no longer save mcp.json (the button is grayed out). **Help, what am I doing wrong**?
**Example:**
{
"mcpServers": {
"duckdu... | 2025-11-19T16:49:51 | https://www.reddit.com/r/LocalLLaMA/comments/1p1cuyt/lm_studio_2_mcp_servers/ | AdDizzy8160 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1cuyt | false | null | t3_1p1cuyt | /r/LocalLLaMA/comments/1p1cuyt/lm_studio_2_mcp_servers/ | false | false | self | 1 | null |
MacOS 26.2 to add full 'Neural Accelerator' support for M5 chips | 24 | No more need for the custom MLX patch in the Weinbach anrticle. Also clustering at 80Gb/s over Tb5.
[https://www.engadget.com/ai/you-can-turn-a-cluster-of-macs-into-an-ai-supercomputer-in-macos-tahoe-262-191500778.html](https://www.engadget.com/ai/you-can-turn-a-cluster-of-macs-into-an-ai-supercomputer-in-macos-tahoe-... | 2025-11-19T16:43:38 | https://www.reddit.com/r/LocalLLaMA/comments/1p1coup/macos_262_to_add_full_neural_accelerator_support/ | PracticlySpeaking | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1coup | false | null | t3_1p1coup | /r/LocalLLaMA/comments/1p1coup/macos_262_to_add_full_neural_accelerator_support/ | false | false | self | 24 | {'enabled': False, 'images': [{'id': 'D1ukRA4siuEaCFz6DVadqElt2e20I1ADaPyNRatEi6Q', 'resolutions': [{'height': 72, 'url': 'https://external-preview.redd.it/D1ukRA4siuEaCFz6DVadqElt2e20I1ADaPyNRatEi6Q.jpeg?width=108&crop=smart&auto=webp&s=192ec3a5f7e1d079074f4e16560c1a0cb7101aaf', 'width': 108}, {'height': 144, 'url': '... |
Total noob looking for Knowledge Distillation/ Fine Tuning Advice | 2 | I made my own JSON sample by taking truetomes 100k dataset and adapting a sample of 200 or so questions and replaced the answers with the LLM of my choice as I like its responses over others.
Where i'm struggling is now the next step. The original dataset was in parquet, but I had to convert it to JSON single line... | 2025-11-19T16:36:40 | https://www.reddit.com/r/LocalLLaMA/comments/1p1chrh/total_noob_looking_for_knowledge_distillation/ | _Fancy_Bear | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1chrh | false | null | t3_1p1chrh | /r/LocalLLaMA/comments/1p1chrh/total_noob_looking_for_knowledge_distillation/ | false | false | self | 2 | null |
GLM 4.5 Air on strix point...? | 2 | I have an AMD HX 370 notebook with 64GB ram (no nvidia card), which isn't particularly fast for LLMs but works ok for small models, including Qwen3 32B and Gemma 27B.
I was considering upgrading to 96GB ram to try a bigger models like GLM 4.5 Air, however I'm not sure if that's a bad idea, if it would even run at all?... | 2025-11-19T16:27:49 | https://www.reddit.com/r/LocalLLaMA/comments/1p1c93o/glm_45_air_on_strix_point/ | mark_haas | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1c93o | false | null | t3_1p1c93o | /r/LocalLLaMA/comments/1p1c93o/glm_45_air_on_strix_point/ | false | false | self | 2 | null |
About the person worried about an OpenAI data breach | 1 | [removed] | 2025-11-19T16:17:47 | https://www.reddit.com/r/LocalLLaMA/comments/1p1bz8g/about_the_person_worried_about_an_openai_data/ | Cool-Current-134 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1bz8g | false | null | t3_1p1bz8g | /r/LocalLLaMA/comments/1p1bz8g/about_the_person_worried_about_an_openai_data/ | false | false | self | 1 | null |
Best Courses for learning LLM | 5 | I have been playing with local LLMs for a while, and really want to get serious with it. I would like to take a course or something to really amp up my ability but I am not sure where to start. Has anyone taken any classes or can recommend a video course or anything? Thank you in advance. | 2025-11-19T16:09:41 | https://www.reddit.com/r/LocalLLaMA/comments/1p1brbk/best_courses_for_learning_llm/ | PersonSuitTV | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1brbk | false | null | t3_1p1brbk | /r/LocalLLaMA/comments/1p1brbk/best_courses_for_learning_llm/ | false | false | self | 5 | null |
AMA with MiniMax — Ask Us Anything! | 180 | Hi [r/LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/)! We’re really excited to be here, thanks for having us.
I’m Skyler ([u/OccasionNo6699](https://www.reddit.com/user/OccasionNo6699/)), head of engineering at MiniMax, the lab behind:
* [MiniMax-M2](https://x.com/MiniMax__AI/status/1982674798649160175?s=20)
* [Hai... | 2025-11-19T15:46:38 | https://www.reddit.com/r/LocalLLaMA/comments/1p1b550/ama_with_minimax_ask_us_anything/ | OccasionNo6699 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1b550 | false | null | t3_1p1b550 | /r/LocalLLaMA/comments/1p1b550/ama_with_minimax_ask_us_anything/ | false | true | self | 180 | null |
RamaLama strives to make working with AI simple, straightforward, and familiar by using OCI containers. | 2 | 2025-11-19T15:28:43 | https://github.com/containers/ramalama | autodidacticasaurus | github.com | 1970-01-01T00:00:00 | 0 | {} | 1p1anwi | false | null | t3_1p1anwi | /r/LocalLLaMA/comments/1p1anwi/ramalama_strives_to_make_working_with_ai_simple/ | false | false | default | 2 | {'enabled': False, 'images': [{'id': 'Vy3A11YYoT7GF2K1mf33E4_0fJuNt7SW0a58HiNtw5c', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Vy3A11YYoT7GF2K1mf33E4_0fJuNt7SW0a58HiNtw5c.png?width=108&crop=smart&auto=webp&s=ca79a22d5d4393d0176d113feb41b0cad470ca2b', 'width': 108}, {'height': 108, 'url': 'h... | |
advice to create a full PHP site with qwen3 32B with 5070 and 13k context | 0 | Hello
I'm using qwen3 32B thinking to desing a full website but i run out of context as only the thinking part takes 9000 token.
I know html php js and so on so i can read it but is there a way to save tokens on the thinking or have a bigger thinking context?
Here my prompt: llama-server -hf bartowski/Qwen\_Qwen3-VL... | 2025-11-19T15:08:00 | https://www.reddit.com/r/LocalLLaMA/comments/1p1a4dk/advice_to_create_a_full_php_site_with_qwen3_32b/ | Flimsy_Leadership_81 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1a4dk | false | null | t3_1p1a4dk | /r/LocalLLaMA/comments/1p1a4dk/advice_to_create_a_full_php_site_with_qwen3_32b/ | false | false | self | 0 | null |
LLM for learning | 0 | I want to learn about hacking. I was thinking about running an uncensored model with my RTX4060ti 8gb. Which model should be best? I am noob so your advice would be appreciated. | 2025-11-19T14:38:49 | https://www.reddit.com/r/LocalLLaMA/comments/1p19dio/llm_for_learning/ | link_29328 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p19dio | false | null | t3_1p19dio | /r/LocalLLaMA/comments/1p19dio/llm_for_learning/ | false | false | self | 0 | null |
A Model-Agnostic Cognitive Framework: Tonious Part 2 — Multimodal Moments, Structured Recall, and Mode-Adaptive Reasoning | 0 | Part 2 of the Tonious demonstration.
Tonious is *not a model*.
It’s a model-agnostic cognitive architecture designed to layer symbolic structure, memory routing, and multimodal reasoning on top of any LLM—7B, 70B, or whatever comes next.
This update shows three interacting subsystems:
1. **Video → Trinity Stream →... | 2025-11-19T14:29:21 | https://www.reddit.com/gallery/1p1953b | GriffinThibault | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1p1953b | false | null | t3_1p1953b | /r/LocalLLaMA/comments/1p1953b/a_modelagnostic_cognitive_framework_tonious_part/ | false | false | 0 | null | |
Need Advice: Dual GPU (3080 Ti + 5080) or Sell and Upgrade for Local LLM Work? | 2 | I’m setting up a dedicated machine to run an LLM for software-development assistance and for generating episodic content (text-to-image and text-to-video). The system will act like a local server, accessible over Ethernet. It has 64 GB of DDR5, but I’m stuck on what GPU configuration makes the most sense.
Right now I ... | 2025-11-19T14:23:04 | https://www.reddit.com/r/LocalLLaMA/comments/1p18znx/need_advice_dual_gpu_3080_ti_5080_or_sell_and/ | Shoddy_Bed3240 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p18znx | false | null | t3_1p18znx | /r/LocalLLaMA/comments/1p18znx/need_advice_dual_gpu_3080_ti_5080_or_sell_and/ | false | false | self | 2 | null |
Scale-out is the silent killer of LLM applications. Are we solving the wrong problem? | 0 | Everyone's obsessed with cold starts. But cold starts are a one-time cost. The real architecture breaker is slow scale-out.
When traffic spikes and you need to spin up a new replica of a 70B model, you're looking at 5-10 minutes of loading and warm-up. By the time your new node is ready, your users have already timed ... | 2025-11-19T14:20:10 | https://www.reddit.com/r/LocalLLaMA/comments/1p18x37/scaleout_is_the_silent_killer_of_llm_applications/ | pmv143 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p18x37 | false | null | t3_1p18x37 | /r/LocalLLaMA/comments/1p18x37/scaleout_is_the_silent_killer_of_llm_applications/ | false | false | self | 0 | null |
Meituan Longcat releases AMO Bench: Kimi k2 Thinking is the best Math AI | 21 | ERROR: type should be string, got "https://preview.redd.it/k6cgs17t082g1.png?width=2816&format=png&auto=webp&s=e0fd6ad58bd315eb3bf5fa0b376d71f21b7342a0\n\nhttps://preview.redd.it/8t68e95w082g1.png?width=2506&format=png&auto=webp&s=ddd00c72663e56e797b5d74982d89939554beb2c\n\n**Original Problems**: 50 brand-new problems designed by human experts\n\n**Guaranteed Difficulty**: Cross-validated to ensure at least IMO-level difficulty\n\n**Automatic Grading**: Hybrid grading algorithm with 99.2% scoring accuracy\n\n**Human-Annotated CoT**: Facilitate further case analysis to improve model" | 2025-11-19T14:07:05 | https://www.reddit.com/r/LocalLLaMA/comments/1p18lim/meituan_longcat_releases_amo_bench_kimi_k2/ | nekofneko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p18lim | false | null | t3_1p18lim | /r/LocalLLaMA/comments/1p18lim/meituan_longcat_releases_amo_bench_kimi_k2/ | false | false | 21 | null | |
Meituan Longcat releases AMO Bench: Kimi k2 Thinking achieved SOTA performance | 1 | [removed] | 2025-11-19T14:04:28 | https://www.reddit.com/r/LocalLLaMA/comments/1p18j84/meituan_longcat_releases_amo_bench_kimi_k2/ | nekofneko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p18j84 | false | null | t3_1p18j84 | /r/LocalLLaMA/comments/1p18j84/meituan_longcat_releases_amo_bench_kimi_k2/ | false | false | 1 | null | |
AralingBench | 5 | Check out our latest work at kaust ! A new benchmark for evaluating Arabic linguistic capabilities of large language models …
Being good at solving math problems in Arabic doesn’t mean you’re good at Arabic !
Support with an upvote: [https://huggingface.co/papers/2511.14295](https://huggingface.co/papers/2511.14295... | 2025-11-19T13:59:26 | https://www.reddit.com/r/LocalLLaMA/comments/1p18eqp/aralingbench/ | LowChance4561 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p18eqp | false | null | t3_1p18eqp | /r/LocalLLaMA/comments/1p18eqp/aralingbench/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': 'x79sIdgFvP_ia3M0auvFIy16jM7XvjyyTpMneU1sfl8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/x79sIdgFvP_ia3M0auvFIy16jM7XvjyyTpMneU1sfl8.png?width=108&crop=smart&auto=webp&s=acc7e98cdf7039f12638c962eb6d82b59e3e8b4c', 'width': 108}, {'height': 116, 'url': 'h... |
continuedev alternatives for local tab completion in vscode | 3 | I use Roo Code for agentic coding and continue for in-editor tab completion. Continue was never really good at that, but I feel it is getting worse lately. Very unreliable, just ignores me 30% of the time (idling), multiline completions don't work properly, output is not formatted properly etc. I disabled roo to make s... | 2025-11-19T13:46:09 | https://www.reddit.com/r/LocalLLaMA/comments/1p183dv/continuedev_alternatives_for_local_tab_completion/ | mnze_brngo_7325 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p183dv | false | null | t3_1p183dv | /r/LocalLLaMA/comments/1p183dv/continuedev_alternatives_for_local_tab_completion/ | false | false | self | 3 | null |
How does AI Video models "think?" | 0 | Smart brains here explained to me how LLM and Image models think in such a caveman-understandable-way I could finally make full use of it.
But what about the AI Video models?
What's going on inside their zeros and ones when they learn and then generate a video, even though knowing its the same as image models that ne... | 2025-11-19T13:38:01 | https://www.reddit.com/r/LocalLLaMA/comments/1p17wob/how_does_ai_video_models_think/ | WEREWOLF_BX13 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p17wob | false | null | t3_1p17wob | /r/LocalLLaMA/comments/1p17wob/how_does_ai_video_models_think/ | false | false | self | 0 | null |
Are Intel’s Arrow/Lunar Lake CPUs viable for running local LLMs, or is Ryzen still the better choice? | 1 | Hey r/LocalLLaMA
In the last months I was experimenting with differect LLMs (mainly GPT‑OSS‑120B). My current setup looks like this:
GPU: RTX 4090 Mobile
CPU: AMD Ryzen 9 7945HX (16‑core, 32 thread)
RAM: 96GB DDR5 SO-DIMM
Mode:l GPT‑OSS‑120B
Task: Generate a short poem in LMStudio in WIN11
Measured throughput... | 2025-11-19T13:29:07 | https://www.reddit.com/r/LocalLLaMA/comments/1p17p4r/are_intels_arrowlunar_lake_cpus_viable_for/ | AIMasterChief | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p17p4r | false | null | t3_1p17p4r | /r/LocalLLaMA/comments/1p17p4r/are_intels_arrowlunar_lake_cpus_viable_for/ | false | false | self | 1 | null |
Meta AI at it's finest | 0 | help me | 2025-11-19T13:21:09 | https://www.reddit.com/gallery/1p17iok | what-th-BOOM | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1p17iok | false | null | t3_1p17iok | /r/LocalLLaMA/comments/1p17iok/meta_ai_at_its_finest/ | false | false | 0 | null | |
Meta AI at it's finest | 0 | help me | 2025-11-19T13:20:54 | https://www.reddit.com/gallery/1p17ihl | what-th-BOOM | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1p17ihl | false | null | t3_1p17ihl | /r/LocalLLaMA/comments/1p17ihl/meta_ai_at_its_finest/ | false | false | 0 | null | |
First Step: Large Language Model / Next Step: Structure-Based Intelligence Model | 0 | Large Language Models represent the first stage of machine intelligence.
They generate language, predict tokens, and produce fluent answers.
This linguistic capability is powerful — but it is only step one.
We believe the next step is clear: AI must move from prediction to internal simulation. From outputs to processe... | 2025-11-19T13:09:02 | https://www.reddit.com/r/LocalLLaMA/comments/1p178ul/first_step_large_language_model_next_step/ | Hefty_Document_9466 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p178ul | false | null | t3_1p178ul | /r/LocalLLaMA/comments/1p178ul/first_step_large_language_model_next_step/ | false | false | self | 0 | null |
How to evaluate LLMs using LM-harness ? | 3 | LM-harness supports various benchmarks and Hugging Face models. However, how can we evaluate with hugging face inference APIs instead of loading the models locally. Does anyone have an idea to use lm-harness with hugging face inference API let me know please. | 2025-11-19T13:08:38 | https://www.reddit.com/r/LocalLLaMA/comments/1p178j7/how_to_evaluate_llms_using_lmharness/ | Lonely-Highlight-447 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p178j7 | false | null | t3_1p178j7 | /r/LocalLLaMA/comments/1p178j7/how_to_evaluate_llms_using_lmharness/ | false | false | self | 3 | null |
I built a hardened multi-tenant agent orchestrator because existing frameworks kept breaking in production. | 2 | I’ve been working on agent systems for months and kept hitting the same problems:
most popular frameworks feel like prototypes — no authentication, no tenancy,
no audit trail, no redaction, no way to safely run real workloads.
So I built **Trident Engine**.
It’s a local-first, production-grade orchestrator with:
... | 2025-11-19T13:08:14 | https://www.reddit.com/r/LocalLLaMA/comments/1p1785w/i_built_a_hardened_multitenant_agent_orchestrator/ | Substantial_Ad5570 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1785w | false | null | t3_1p1785w | /r/LocalLLaMA/comments/1p1785w/i_built_a_hardened_multitenant_agent_orchestrator/ | false | false | self | 2 | null |
I built an API to handle document versioning for RAG (so I stop burning embedding credits) | 3 | 2025-11-19T13:06:58 | https://www.raptordata.dev | YummyJuice | raptordata.dev | 1970-01-01T00:00:00 | 0 | {} | 1p17777 | false | null | t3_1p17777 | /r/LocalLLaMA/comments/1p17777/i_built_an_api_to_handle_document_versioning_for/ | false | false | default | 3 | null | |
tried a memory system for local llama and its kinda interesting | 9 | Running Llama 3 8B (Q4 quant) on my 3090 with ollama for coding assistant stuff. Been hitting issues with longer sessions where it loses track of earlier context.
Tried summarization but it loses too much detail. Tried vector DB with embeddings but didnt work well for my use case. I know I could use RoPE scaling to ex... | 2025-11-19T13:00:33 | https://www.reddit.com/r/LocalLLaMA/comments/1p1724h/tried_a_memory_system_for_local_llama_and_its/ | Independent_Plum_489 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1724h | false | null | t3_1p1724h | /r/LocalLLaMA/comments/1p1724h/tried_a_memory_system_for_local_llama_and_its/ | false | false | self | 9 | null |
Why do you use open-source LLMs ? | 40 | Hey,
I’ve been following the progress of AI closely since AlphaGo (crazy how much progress we’ve had since then !), reading papers and such, but I’ve never really experimented in the technical side of things.
After stumbling on this sub, I’m really curious. Why do you guys do it ? What do you find fun about it ? Wha... | 2025-11-19T12:37:58 | https://www.reddit.com/r/LocalLLaMA/comments/1p16kxx/why_do_you_use_opensource_llms/ | MrTorgue7 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p16kxx | false | null | t3_1p16kxx | /r/LocalLLaMA/comments/1p16kxx/why_do_you_use_opensource_llms/ | false | false | self | 40 | null |
Whyyy? | 0 | 2025-11-19T12:36:09 | chriskevini | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p16jly | false | null | t3_1p16jly | /r/LocalLLaMA/comments/1p16jly/whyyy/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'gc7xivalk72g1', 'resolutions': [{'height': 27, 'url': 'https://preview.redd.it/gc7xivalk72g1.png?width=108&crop=smart&auto=webp&s=cda96dd778868676a617319dbb0840d17223b486', 'width': 108}, {'height': 54, 'url': 'https://preview.redd.it/gc7xivalk72g1.png?width=216&crop=smart&auto=webp... | ||
Mistral right now, watching Gemini 3 drop. | 0 | 2025-11-19T12:32:40 | Porespellar | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p16h38 | false | null | t3_1p16h38 | /r/LocalLLaMA/comments/1p16h38/mistral_right_now_watching_gemini_3_drop/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '4p6jn484k72g1', 'resolutions': [{'height': 162, 'url': 'https://preview.redd.it/4p6jn484k72g1.jpeg?width=108&crop=smart&auto=webp&s=f0953c2377fbb897e9866311b16490baa3683049', 'width': 108}, {'height': 324, 'url': 'https://preview.redd.it/4p6jn484k72g1.jpeg?width=216&crop=smart&auto=... | ||
Mistral right now. | 0 | 2025-11-19T12:18:52 | Porespellar | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p166t6 | false | null | t3_1p166t6 | /r/LocalLLaMA/comments/1p166t6/mistral_right_now/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'usbdzsknh72g1', 'resolutions': [{'height': 162, 'url': 'https://preview.redd.it/usbdzsknh72g1.jpeg?width=108&crop=smart&auto=webp&s=210ead7013f9ffb49ac3962c2c98f32c00995a65', 'width': 108}, {'height': 324, 'url': 'https://preview.redd.it/usbdzsknh72g1.jpeg?width=216&crop=smart&auto=... | ||
[Release] DragonMemory: 16× semantic compression for local RAG context (open-source, AGPL) | 12 | Hey everyone,
I’ve been experimenting with a small “memory engine” for local LLM setups and just open-sourced it:
\*\*DragonMemory – a 16× semantic compression layer for RAG contexts\*\*, built to sit in front of your local LLaMA (or any other backend).
\*\*Repo:\*\* [DragonMemory](https://github.com/Freeky7819/Drag... | 2025-11-19T12:03:57 | https://www.reddit.com/r/LocalLLaMA/comments/1p15wbk/release_dragonmemory_16_semantic_compression_for/ | freeky78 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p15wbk | false | null | t3_1p15wbk | /r/LocalLLaMA/comments/1p15wbk/release_dragonmemory_16_semantic_compression_for/ | false | false | self | 12 | {'enabled': False, 'images': [{'id': '9rgCojWeCtmzhvtH7vF3ZKsxPHOTdL7rcCbwPAZUJTs', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/9rgCojWeCtmzhvtH7vF3ZKsxPHOTdL7rcCbwPAZUJTs.png?width=108&crop=smart&auto=webp&s=65c195763ff72a586483017db9f5d8f132e937ac', 'width': 108}, {'height': 108, 'url': 'h... |
Is 64GB vs 128GB ($700) Worth It? | 7 | I just picked up an M4 Max Mac Studio with 64GB Unified memory. It runs great but I obviously can’t run models like gpt-oss-120b. Considering the bump to 128GB is an additional $700, is it honestly worth it to upgrade? Any feedback is greatly appreciated.
[View Poll](https://www.reddit.com/poll/1p15qcm) | 2025-11-19T11:55:26 | https://www.reddit.com/r/LocalLLaMA/comments/1p15qcm/is_64gb_vs_128gb_700_worth_it/ | PersonSuitTV | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p15qcm | false | null | t3_1p15qcm | /r/LocalLLaMA/comments/1p15qcm/is_64gb_vs_128gb_700_worth_it/ | false | false | self | 7 | null |
[Release] Memory-Isolated Recursive Compression (MIRC). A local-first probabilistic compression utility for Apple Silicon. Research Preview (Open Source) | 5 | Kaipsul is an independent AI research lab. We are releasing MIRC (Memory-Isolated Recursive Compression) as a research preview.
As documents get longer, language models distribute attention across exponentially more tokens. This dilutes attention mechanisms, degrading retrieval accuracy and instruction following.
MIR... | 2025-11-19T11:27:06 | https://www.reddit.com/r/LocalLLaMA/comments/1p1563m/release_memoryisolated_recursive_compression_mirc/ | mn29 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1563m | false | null | t3_1p1563m | /r/LocalLLaMA/comments/1p1563m/release_memoryisolated_recursive_compression_mirc/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': '-elyBYh9SC61UsMujCaec6BAQt8b03bS3uPZvaAeEs0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/-elyBYh9SC61UsMujCaec6BAQt8b03bS3uPZvaAeEs0.png?width=108&crop=smart&auto=webp&s=f5df4b3c961b5d95d88adfeccc66011204ad0546', 'width': 108}, {'height': 108, 'url': 'h... |
Ai2 DR Tulu: An open, end-to-end training recipe for long-form deep research | 1 | Ai2 on 𝕏: [https://x.com/allen\_ai/status/1990803193014395004](https://x.com/allen_ai/status/1990803193014395004)
Blog: [https://allenai.org/blog/dr-tulu](https://allenai.org/blog/dr-tulu)
Paper: [http://allenai.org/papers/drtulu](http://allenai.org/papers/drtulu)
Models and data: [https://huggingface.co/collect... | 2025-11-19T11:23:28 | https://allenai.org/blog/dr-tulu | Nunki08 | allenai.org | 1970-01-01T00:00:00 | 0 | {} | 1p153kr | false | null | t3_1p153kr | /r/LocalLLaMA/comments/1p153kr/ai2_dr_tulu_an_open_endtoend_training_recipe_for/ | false | false | default | 1 | null |
3gb vram, i5 4570, ddr3 16gb ram | 1 | I have this spare computer lying around that has the specs listed above. I saw Pewdiepie’s video and I wondered what I could run on it. Based on my research it seems I can run LLMs with around 2B-3B parameters. But I really want it to replace my current AI setup which is just ChatGPT, I don’t like them having all of my... | 2025-11-19T11:17:25 | https://www.reddit.com/r/LocalLLaMA/comments/1p14zg9/3gb_vram_i5_4570_ddr3_16gb_ram/ | bingbongbeeinnit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p14zg9 | false | null | t3_1p14zg9 | /r/LocalLLaMA/comments/1p14zg9/3gb_vram_i5_4570_ddr3_16gb_ram/ | false | false | self | 1 | null |
Ai2 Deep Research Tulu (DR Tulu): 8B deep research agent model | 1 | Ai2 on 𝕏: [https://x.com/allen\_ai/status/1990803193014395004](https://x.com/allen_ai/status/1990803193014395004)
Blog: [https://allenai.org/blog/dr-tulu](https://allenai.org/blog/dr-tulu)
Paper: [http://allenai.org/papers/drtulu](http://allenai.org/papers/drtulu)
Models and data: [https://huggingface.co/collect... | 2025-11-19T11:12:11 | https://v.redd.it/mfdk7mye572g1 | Nunki08 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p14vz5 | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/mfdk7mye572g1/DASHPlaylist.mpd?a=1766142744%2CYWNmZDQ0ZWUxZDgwYWIzYzkzNjMxYWEzMjZjZmUxYWIzMWI1YTQ3NTM2NTdjYWJhN2M4MGY0ZTY0NWE3NjgxNg%3D%3D&v=1&f=sd', 'duration': 61, 'fallback_url': 'https://v.redd.it/mfdk7mye572g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1p14vz5 | /r/LocalLLaMA/comments/1p14vz5/ai2_deep_research_tulu_dr_tulu_8b_deep_research/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'dGxsczVxeWU1NzJnMcAY2XkQDBAhKY1HkNzaHfu44Gse2gRIXROQIZ_GU8fK', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/dGxsczVxeWU1NzJnMcAY2XkQDBAhKY1HkNzaHfu44Gse2gRIXROQIZ_GU8fK.png?width=108&crop=smart&format=pjpg&auto=webp&s=6308d03d87cdd5ea63093a46b508140aab4f7... | |
A robot with a "personality" | 1 | [removed] | 2025-11-19T11:00:50 | https://www.reddit.com/r/LocalLLaMA/comments/1p14n91/a_robot_with_a_personality/ | No_Dot9595 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p14n91 | false | null | t3_1p14n91 | /r/LocalLLaMA/comments/1p14n91/a_robot_with_a_personality/ | false | false | self | 1 | null |
What model currently offers the best consistency for complex text-processing tasks? | 2 | I’m looking for recommendations on a locally-runnable model that prioritizes output consistency over raw creativity.
Specifically, I need something that can handle structured text analysis, follow detailed instructions reliably, and produce stable results across repeated prompts.
Key criteria I care about:
• determin... | 2025-11-19T10:57:47 | https://www.reddit.com/r/LocalLLaMA/comments/1p14kp0/what_model_currently_offers_the_best_consistency/ | braveloop | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p14kp0 | false | null | t3_1p14kp0 | /r/LocalLLaMA/comments/1p14kp0/what_model_currently_offers_the_best_consistency/ | false | false | self | 2 | null |
are you seeking final end of life | 0 | Practical Explanation ( For Example ) :- \`1st of all can you tell me every single seconds detail from that time when you born ?? ( i need every seconds detail ?? that what- what you have thought and done on every single second )
can you tell me every single detail of your \`1 cheapest Minute Or your whole hour, day... | 2025-11-19T10:38:03 | https://www.reddit.com/r/LocalLLaMA/comments/1p1491d/are_you_seeking_final_end_of_life/ | pani343 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1491d | false | null | t3_1p1491d | /r/LocalLLaMA/comments/1p1491d/are_you_seeking_final_end_of_life/ | false | false | self | 0 | null |
Our AI assistant keeps getting jailbroken and it’s becoming a security nightmare | 297 | We built an internal AI helper for our support team, and no matter how many guardrails we add, people keep finding ways to jailbreak it. Employees aren’t doing it maliciously, they’re just curious and want to see what happens, but suddenly the assistant is spitting out stuff it’s absolutely not supposed to.
We’ve trie... | 2025-11-19T10:32:16 | https://www.reddit.com/r/LocalLLaMA/comments/1p145pj/our_ai_assistant_keeps_getting_jailbroken_and_its/ | Comfortable_Clue5430 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p145pj | false | null | t3_1p145pj | /r/LocalLLaMA/comments/1p145pj/our_ai_assistant_keeps_getting_jailbroken_and_its/ | false | false | self | 297 | null |
MMaDA-Parallel: Parallel Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation | 7 | 2025-11-19T10:30:09 | https://github.com/tyfeld/MMaDA-Parallel | nnxnnx | github.com | 1970-01-01T00:00:00 | 0 | {} | 1p144b7 | false | null | t3_1p144b7 | /r/LocalLLaMA/comments/1p144b7/mmadaparallel_parallel_multimodal_large_diffusion/ | false | false | 7 | {'enabled': False, 'images': [{'id': 'BNfLwSNQqEYYvYecpIB7R48pXR8iUAP_F5JnpzrQUxw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/BNfLwSNQqEYYvYecpIB7R48pXR8iUAP_F5JnpzrQUxw.png?width=108&crop=smart&auto=webp&s=e2c45bf3381775c1628998b1ba590eefde70e9c6', 'width': 108}, {'height': 108, 'url': 'h... | ||
I built an "Antigravity Workspace" for Gemini 3. It forces the AI to follow "Artifact-First" protocols automatically. (Open Source Template) | 0 | Hey everyone,
Like many of you, I've been playing with the new **Google Antigravity IDE** and **Gemini 3**.
I noticed that without strict prompting, the Agent tends to be a bit chaotic (creating files in random places, skipping tests, etc.).
So I built an opinionated **Workspace Template** that pre-loads the Agent w... | 2025-11-19T10:26:47 | https://www.reddit.com/r/LocalLLaMA/comments/1p142ey/i_built_an_antigravity_workspace_for_gemini_3_it/ | Direct-Employ-3290 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p142ey | false | null | t3_1p142ey | /r/LocalLLaMA/comments/1p142ey/i_built_an_antigravity_workspace_for_gemini_3_it/ | false | false | self | 0 | null |
Anyone on arm? | 3 | I don't mean only inference, but more about general ml/ai dev, do you see any limitations of using a arm cpu?
I'm thinking about repurposing gh200 into workstation during the day and cluster during the night.
What are your thoughts? | 2025-11-19T10:24:07 | https://www.reddit.com/r/LocalLLaMA/comments/1p140na/anyone_on_arm/ | No_Afternoon_4260 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p140na | false | null | t3_1p140na | /r/LocalLLaMA/comments/1p140na/anyone_on_arm/ | false | false | self | 3 | null |
Is qwen3vl 235B is supposed to be this slow? | 0 | Heya, I managed to get access to server with 40G A100 and 96 RAM. Tried loading Qwen3-VL-235B-A22B-Thinking-GGUF UD-IQ3\_XXS using llama.cpp.
Configuration is: --ctx-size 40000 --n-cpu-moe 64 --prio 2 --temp 1.0 --repeat-penalty 1.0 --min-p 0.0 --top-k 20 --top-p 0.95 --presence\_penalty 0.... | 2025-11-19T10:09:16 | https://www.reddit.com/r/LocalLLaMA/comments/1p13rbq/is_qwen3vl_235b_is_supposed_to_be_this_slow/ | shapic | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p13rbq | false | null | t3_1p13rbq | /r/LocalLLaMA/comments/1p13rbq/is_qwen3vl_235b_is_supposed_to_be_this_slow/ | false | false | self | 0 | null |
How do I actually use the Ryzen AI chip… for anything? | 27 | I bought this mini PC mainly because of its “AI” capabilities, so… how am I actually supposed
to use the AMD Ryzen AI engine? I’d love to run a local LLM or add some kind of
facial-recognition tool to my media server, but I can’t seem to find any solid documentation
on how to enable ROCm or make use of the NPU in a hom... | 2025-11-19T09:53:03 | https://www.reddit.com/r/LocalLLaMA/comments/1p13haw/how_do_i_actually_use_the_ryzen_ai_chip_for/ | Muted_Head_1636 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p13haw | false | null | t3_1p13haw | /r/LocalLLaMA/comments/1p13haw/how_do_i_actually_use_the_ryzen_ai_chip_for/ | false | false | self | 27 | {'enabled': False, 'images': [{'id': 'RkLJTFxETWebbJiesprmKvDaBojuxDFymwH8r33dQnQ', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/RkLJTFxETWebbJiesprmKvDaBojuxDFymwH8r33dQnQ.png?width=108&crop=smart&auto=webp&s=0ee5092961b6105895568dbf2bee61aad43cdcce', 'width': 108}, {'height': 216, 'url': '... |
Any H200 owners out there? | 0 | Does anyone own an H200.
Who are the trusted suppliers? Located in the US and quotes are varying 8-10k for the same hardware. | 2025-11-19T09:36:59 | https://www.reddit.com/r/LocalLLaMA/comments/1p1380r/any_h200_owners_out_there/ | itsthewolfe | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p1380r | false | null | t3_1p1380r | /r/LocalLLaMA/comments/1p1380r/any_h200_owners_out_there/ | false | false | self | 0 | null |
Note: Gemini 3.0 Pro is less accessible than 2.5 Pro | 1 | [removed] | 2025-11-19T09:11:27 | https://www.reddit.com/r/LocalLLaMA/comments/1p12tex/note_gemini_30_pro_is_less_accessible_than_25_pro/ | Guardian-Spirit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p12tex | false | null | t3_1p12tex | /r/LocalLLaMA/comments/1p12tex/note_gemini_30_pro_is_less_accessible_than_25_pro/ | false | false | self | 1 | null |
Note: Gemini 3.0 Pro is less accessible than Gemini 2.5 Pro | 1 | [removed] | 2025-11-19T09:09:36 | https://www.reddit.com/r/LocalLLaMA/comments/1p12s8i/note_gemini_30_pro_is_less_accessible_than_gemini/ | Guardian-Spirit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p12s8i | false | null | t3_1p12s8i | /r/LocalLLaMA/comments/1p12s8i/note_gemini_30_pro_is_less_accessible_than_gemini/ | false | false | self | 1 | null |
Building real-time speech translation (VAD→ASR→MT→TTS) - struggling with latency | 5 | I'm also working on this. Trying to build a real-time speech translation system, but honestly the results are pretty rough so far. Really curious how commercial simultaneous interpretation systems manage to hit that claimed 3-second average for first-word latency.
It's just a weekend project at this point. My pipeline... | 2025-11-19T09:09:02 | https://www.reddit.com/r/LocalLLaMA/comments/1p12rwx/building_realtime_speech_translation_vadasrmttts/ | Big_Fix_7606 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p12rwx | false | null | t3_1p12rwx | /r/LocalLLaMA/comments/1p12rwx/building_realtime_speech_translation_vadasrmttts/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': 'xMuDx6mMJT_SMnpt-lQ3e2X5XDsdj2wWJAijOuXo4YQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/xMuDx6mMJT_SMnpt-lQ3e2X5XDsdj2wWJAijOuXo4YQ.png?width=108&crop=smart&auto=webp&s=18051f72a7e9f615744b27d19f8ed65834de85e2', 'width': 108}, {'height': 108, 'url': 'h... |
RAM prices exploding should I grab old stock now for rag? | 20 | I need some advice.
I have 32GB RAM in my PC right now, but since it’s my work machine I usually have around 10GB free. I’m also running an RTX 3090.
I want to build RAG setups for two AI projects. I found a 96GB DDR5 6000MHz kit that’s still being sold for the *old price* (\~1690), and the store told me RAM prices a... | 2025-11-19T08:56:21 | https://www.reddit.com/r/LocalLLaMA/comments/1p12jz3/ram_prices_exploding_should_i_grab_old_stock_now/ | Working_Opposite4167 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p12jz3 | false | null | t3_1p12jz3 | /r/LocalLLaMA/comments/1p12jz3/ram_prices_exploding_should_i_grab_old_stock_now/ | false | false | self | 20 | null |
Got free passes for a big Virtual GenAI summit (OpenAI, Google, Microsoft, LangChain etc.) | 0 | Hey folks,
Just a heads up, Packt is running a pretty stacked virtual GenAI summit called GenAI Nexus 2025 on Nov 20–21, and it actually looks legit. It’s two full days of sessions focused on things people here actually care about:
• Building and deploying real AI agents • RAG, A2A, context engineering, and other pra... | 2025-11-19T08:33:35 | alimhabidi | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p126tx | false | null | t3_1p126tx | /r/LocalLLaMA/comments/1p126tx/got_free_passes_for_a_big_virtual_genai_summit/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'egCRvp2hSqa03XaPW4tuX0X32HRtlqH6zO6PlX20M7c', 'resolutions': [{'height': 44, 'url': 'https://preview.redd.it/7zu40cigd62g1.jpeg?width=108&crop=smart&auto=webp&s=716652b9b40e79ba16a0c2bb94ccc9c6c320c25f', 'width': 108}, {'height': 88, 'url': 'https://preview.redd.it/7zu40cigd62g1.jpe... | ||
Movie subtitle translation into Bangla | 0 | I am a subtitle translator. I need to translate subtitles of 2/3 movies into Bangla (Bangladesh) for my client. The original languages are usually English, Hindi, Russian... Currently I am using ChatGPT for automation of the translations. I input chunks of 300 lines one by one into ChatGPT. Sometimes the quality of tr... | 2025-11-19T08:33:17 | https://www.reddit.com/r/LocalLLaMA/comments/1p126nr/movie_subtitle_translation_into_bangla/ | Lonewolf89bd | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p126nr | false | null | t3_1p126nr | /r/LocalLLaMA/comments/1p126nr/movie_subtitle_translation_into_bangla/ | false | false | self | 0 | null |
TOON Format Explained: Why AI Teams Are Looking Beyond JSON | 1 | [removed] | 2025-11-19T08:19:37 | https://www.reddit.com/r/LocalLLaMA/comments/1p11yxj/toon_format_explained_why_ai_teams_are_looking/ | Normal-Emu-3443 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p11yxj | false | null | t3_1p11yxj | /r/LocalLLaMA/comments/1p11yxj/toon_format_explained_why_ai_teams_are_looking/ | false | false | self | 1 | null |
🚀 NVIDIA DGX Spark vs. Alternatives: Escaping the RTX 3060 (6GB) for Medical LLM Research | 0 | Hi r/LocalLLaMA 🚀 ,
I am currently struggling with my **medical LLM research** (language models only, no images/video) on my existing **RTX 3060 6GB laptop GPU**. As you can imagine, this is a **major bottleneck**—even simple LoRA experiments on small models are cumbersome due to the severe lack of VRAM. It's time to... | 2025-11-19T08:17:37 | https://www.reddit.com/r/LocalLLaMA/comments/1p11xus/nvidia_dgx_spark_vs_alternatives_escaping_the_rtx/ | Muted-Examination278 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p11xus | false | null | t3_1p11xus | /r/LocalLLaMA/comments/1p11xus/nvidia_dgx_spark_vs_alternatives_escaping_the_rtx/ | false | false | self | 0 | null |
What are the most unique models that are under 15b you encountered | 20 | I'm not talking about nsfw, I know remember people claiming some models have personality, I would like to see what models you have encountered that were unique and fun to chat with. | 2025-11-19T08:00:40 | https://www.reddit.com/r/LocalLLaMA/comments/1p11od1/what_are_the_most_unique_models_that_are_under/ | ResponsibleTruck4717 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p11od1 | false | null | t3_1p11od1 | /r/LocalLLaMA/comments/1p11od1/what_are_the_most_unique_models_that_are_under/ | false | false | self | 20 | null |
Hosting a deep-dive on agentic orchestration for customer-facing AI | 1 | Hey everyone, we (Parlant open-source) are hosting a live webinar on Compliant Agentic Orchestration next week.
We’ll walk through:
• A reliablility-first approach
• Accuracy optimization strategies
• Real-life lessons
If you’re building or experimenting with customer-facing agents, this might be up you... | 2025-11-19T07:57:26 | https://www.reddit.com/r/LocalLLaMA/comments/1p11ml8/hosting_a_deepdive_on_agentic_orchestration_for/ | Chozee22 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p11ml8 | false | null | t3_1p11ml8 | /r/LocalLLaMA/comments/1p11ml8/hosting_a_deepdive_on_agentic_orchestration_for/ | false | false | self | 1 | null |
Sanity check for a Threadripper + Dual RTX 6000 Ada node (Weather Forecasting / Deep Learning) | 0 | Hola!!
tldr
I’m in the process of finalizing a spec for a dedicated AI workstation/server node. The primary use case is training deep learning models for weather forecasting (transformers/CFD work), involving parallel processing of wind data.
We are aiming for a setup that is powerful now but "horizontally scalable" ... | 2025-11-19T07:56:30 | https://www.reddit.com/r/LocalLLaMA/comments/1p11m4z/sanity_check_for_a_threadripper_dual_rtx_6000_ada/ | Icy_Gas8807 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p11m4z | false | null | t3_1p11m4z | /r/LocalLLaMA/comments/1p11m4z/sanity_check_for_a_threadripper_dual_rtx_6000_ada/ | false | false | self | 0 | null |
I built a full TOON Format toolkit for devs using LLMs (feedback welcome) | 0 | I’ve been experimenting with the TOON data format to reduce token usage in LLM applications.
To make the workflow easier, I built Toonkit — a full web-based toolkit:
• JSON/XML/Markdown/CSV → TOON converter
• TOON → JSON/XML/CSV/Markdown
• Token estimator (JSON vs TOON)
• TOON beautifier & validator
• Schema b... | 2025-11-19T07:53:08 | https://www.reddit.com/r/LocalLLaMA/comments/1p11ke8/i_built_a_full_toon_format_toolkit_for_devs_using/ | Joelina0310 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p11ke8 | false | null | t3_1p11ke8 | /r/LocalLLaMA/comments/1p11ke8/i_built_a_full_toon_format_toolkit_for_devs_using/ | false | false | self | 0 | null |
vLLM 0.11.1 Seems to Be Bringing Massive Speedup on Turing GPUs | 33 | vllm v0.11.1 using a new FLASHINFER backend and re-enables FP16 support on Turing GPUs, resulting in a much better performance on Volta and Turing GPUs (close to lmdeploy, better in prefill, worse in decode).
Hoping someone with a V100, T4, 2080Ti(22GB) or Titan RTX can have a similar test.
Here is a brief Qwen3-4B-I... | 2025-11-19T07:27:07 | https://www.reddit.com/r/LocalLLaMA/comments/1p115u6/vllm_0111_seems_to_be_bringing_massive_speedup_on/ | lly0571 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p115u6 | false | null | t3_1p115u6 | /r/LocalLLaMA/comments/1p115u6/vllm_0111_seems_to_be_bringing_massive_speedup_on/ | false | false | self | 33 | null |
Would going from 64GB to 128GB ($700) be wroth it? | 0 | I am currently considering upgrading my Mac that I use for a lot of tasks including LLMs. I have been getting in to AI and LLM over this past year and it's been really fun. I am going to be getting at least a 64GB model, but I could potentially bump it to 128GB but I am not sure if it's worth it. I know I would need th... | 2025-11-19T07:17:33 | https://www.reddit.com/r/LocalLLaMA/comments/1p110bm/would_going_from_64gb_to_128gb_700_be_wroth_it/ | PersonSuitTV | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p110bm | false | null | t3_1p110bm | /r/LocalLLaMA/comments/1p110bm/would_going_from_64gb_to_128gb_700_be_wroth_it/ | false | false | self | 0 | null |
[Advice needed] Foreign language extraction using Qwen | 1 | For an image like below, would it be possible to extract its vendor name and translate into english? The constraint is a small VRAM(16GB). I have tried using Qwen3VL-8B on 4bit quant
Gemini2.5 pro works, but i need it to be able to work locally.
Any advice and tips would be useful
https://preview.redd.it/6mw8tosfz52... | 2025-11-19T07:16:50 | https://www.reddit.com/r/LocalLLaMA/comments/1p10zwb/advice_needed_foreign_language_extraction_using/ | Ok_Television_9000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p10zwb | false | null | t3_1p10zwb | /r/LocalLLaMA/comments/1p10zwb/advice_needed_foreign_language_extraction_using/ | false | false | 1 | null | |
Chatterbox on m4 macbook.How long do I need to generate a 60 min audio lenghth?? | 0 | Would be a great favour if somebody can help!!! | 2025-11-19T06:44:24 | https://www.reddit.com/r/LocalLLaMA/comments/1p10gwn/chatterbox_on_m4_macbookhow_long_do_i_need_to/ | lethargickid | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p10gwn | false | null | t3_1p10gwn | /r/LocalLLaMA/comments/1p10gwn/chatterbox_on_m4_macbookhow_long_do_i_need_to/ | false | false | self | 0 | null |
Most people in this LocalLLaMA are hypocritical. | 99 | When posts about qwen max appear, there are a lot of comments saying that it shouldn't be discussed.
https://preview.redd.it/2rr3u5vzk52g1.png?width=1062&format=png&auto=webp&s=2adc0fc48f38eb189a05ecdb9ec1f366bd84e50b
However, when Gemini 3 and gpt 5 were discussed, not a single comment objected to their being discus... | 2025-11-19T05:56:48 | https://www.reddit.com/r/LocalLLaMA/comments/1p0zn5j/most_people_in_this_localllama_are_hypocritical/ | Ok_houlin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0zn5j | false | null | t3_1p0zn5j | /r/LocalLLaMA/comments/1p0zn5j/most_people_in_this_localllama_are_hypocritical/ | false | false | 99 | null | |
First Build Plan and Parts | 0 | Assembling my first Local LLM build aiming to spend right under 1500$. In total ended up spending just under 1300$ all in.
Parts List:
Intel 9900k
ASUS Maximus XI Hero WiFi
128GB DDR4-3200
RTX 3090
1 TB NVME SSD
1000W PSU
I got the motherboard, CPU, and Ram combo on ebay for 500$, and bought the 3090 in non wo... | 2025-11-19T05:56:35 | https://www.reddit.com/r/LocalLLaMA/comments/1p0zn17/first_build_plan_and_parts/ | MacCollins44 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0zn17 | false | null | t3_1p0zn17 | /r/LocalLLaMA/comments/1p0zn17/first_build_plan_and_parts/ | false | false | self | 0 | null |
Free Listing For Builders | 1 | [removed] | 2025-11-19T05:42:43 | https://www.reddit.com/r/LocalLLaMA/comments/1p0ze86/free_listing_for_builders/ | One-Incident2448 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0ze86 | false | null | t3_1p0ze86 | /r/LocalLLaMA/comments/1p0ze86/free_listing_for_builders/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'sfindevJlkrVasuCalJj9viWQ-ihu3UzadENgSkKP2I', 'resolutions': [{'height': 67, 'url': 'https://external-preview.redd.it/sfindevJlkrVasuCalJj9viWQ-ihu3UzadENgSkKP2I.jpeg?width=108&crop=smart&auto=webp&s=010cc9ea5d0bc3a05da242442cb775e94fc8301a', 'width': 108}, {'height': 135, 'url': '... |
Who Is the Most Threatened by Structural Intelligence? | 0 | A deeper reflection on the next paradigm shift in AI.
Across the entire AI community, one theme is becoming harder to ignore:
probabilistic models may represent an impressive chapter, but not the final architecture of intelligence.
Large language models have reached extraordinary capability — coding, summarization, r... | 2025-11-19T05:34:51 | https://www.reddit.com/r/LocalLLaMA/comments/1p0z99z/who_is_the_most_threatened_by_structural/ | Hefty_Document_9466 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0z99z | false | null | t3_1p0z99z | /r/LocalLLaMA/comments/1p0z99z/who_is_the_most_threatened_by_structural/ | false | false | self | 0 | null |
Free Listing for Builders | 1 | > | 2025-11-19T05:30:32 | https://www.reddit.com/r/LocalLLaMA/comments/1p0z6he/free_listing_for_builders/ | One-Incident2448 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0z6he | false | null | t3_1p0z6he | /r/LocalLLaMA/comments/1p0z6he/free_listing_for_builders/ | false | false | self | 1 | null |
Macbook pro 128gb RAM owners, whats the best AI you're running for reasoning & knowledge? | 4 | I've been out of the game for a few months so I'm basically new at everything. Whats the biggest model you run that gets you good results? I don't care about speed at all. Just reasoning and knowledge. Thank you! | 2025-11-19T05:11:19 | https://www.reddit.com/r/LocalLLaMA/comments/1p0yu23/macbook_pro_128gb_ram_owners_whats_the_best_ai/ | Vast-Piano2940 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0yu23 | false | null | t3_1p0yu23 | /r/LocalLLaMA/comments/1p0yu23/macbook_pro_128gb_ram_owners_whats_the_best_ai/ | false | false | self | 4 | null |
Do you think Gemini 3 uses MoR or Titans? | 0 | Google some time ago introduced [MoR](https://arxiv.org/abs/2507.10524) and [Titans](https://arxiv.org/abs/2501.00663)
I'm very curious if Gemini 3 uses a combination of these two architectures.
I know that Google has described Gemini 3 as a sparse MoE transformers-based model but Google also described MoR as a trans... | 2025-11-19T05:05:10 | https://www.reddit.com/r/LocalLLaMA/comments/1p0yq1i/do_you_think_gemini_3_uses_mor_or_titans/ | SrijSriv211 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0yq1i | false | null | t3_1p0yq1i | /r/LocalLLaMA/comments/1p0yq1i/do_you_think_gemini_3_uses_mor_or_titans/ | false | false | self | 0 | null |
How would one go about making an ai have all context for a show in the form of uploaded scripts? | 0 | What I'm trying to figure out how to do is upload all of the scripts of all episodes of a show I really like so the bot has accurate knowledge of what I want it to write about. I'm struggling to find many resources on how I'd go about this.
Been playing around in LM Studio but I'm not sure that's the right hosting se... | 2025-11-19T04:11:44 | https://www.reddit.com/r/LocalLLaMA/comments/1p0xpbr/how_would_one_go_about_making_an_ai_have_all/ | RedHandTowel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0xpbr | false | null | t3_1p0xpbr | /r/LocalLLaMA/comments/1p0xpbr/how_would_one_go_about_making_an_ai_have_all/ | false | false | self | 0 | null |
llama.cpp: kv cache data type with -fa on (CUDA and Vulkan backends) | 1 | [removed] | 2025-11-19T03:56:36 | https://www.reddit.com/r/LocalLLaMA/comments/1p0xehk/llamacpp_kv_cache_data_type_with_fa_on_cuda_and/ | PhilippeEiffel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0xehk | false | null | t3_1p0xehk | /r/LocalLLaMA/comments/1p0xehk/llamacpp_kv_cache_data_type_with_fa_on_cuda_and/ | false | false | self | 1 | null |
llama.cpp: kv cache data type with -fa on (CUDA and Vulkan backends) | 1 | [removed] | 2025-11-19T03:47:32 | https://www.reddit.com/r/LocalLLaMA/comments/1p0x800/llamacpp_kv_cache_data_type_with_fa_on_cuda_and/ | PhilippeEiffel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0x800 | false | null | t3_1p0x800 | /r/LocalLLaMA/comments/1p0x800/llamacpp_kv_cache_data_type_with_fa_on_cuda_and/ | false | false | self | 1 | null |
llama.cpp: kv cache data type with -fa on (CUDA and Vulkan backends) | 1 | [removed] | 2025-11-19T03:45:49 | https://www.reddit.com/r/LocalLLaMA/comments/1p0x6po/llamacpp_kv_cache_data_type_with_fa_on_cuda_and/ | PhilippeEiffel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0x6po | false | null | t3_1p0x6po | /r/LocalLLaMA/comments/1p0x6po/llamacpp_kv_cache_data_type_with_fa_on_cuda_and/ | false | false | self | 1 | null |
Google launched Gemini 3. And I tried to break it. Here’s how. | 0 | I tried testing the Gemini 3 Pro model using the hardest challenges designed by the top LLMs.
I also documented it and created a whole 37 minute comprehensive video breakdown on how I did it.
If you have X.
Click on the given link and check out the full video.
I bet you’ll enjoy and love it. | 2025-11-19T03:44:45 | https://x.com/aaryan_kakad/status/1990953701041901594?s=46 | akmessi2810 | x.com | 1970-01-01T00:00:00 | 0 | {} | 1p0x5w5 | false | null | t3_1p0x5w5 | /r/LocalLLaMA/comments/1p0x5w5/google_launched_gemini_3_and_i_tried_to_break_it/ | false | false | default | 0 | null |
llama.cpp: kv cache data type with -fa on (CUDA and Vulkan backends) | 1 | [removed] | 2025-11-19T03:43:42 | https://www.reddit.com/r/LocalLLaMA/comments/1p0x55i/llamacpp_kv_cache_data_type_with_fa_on_cuda_and/ | PhilippeEiffel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0x55i | false | null | t3_1p0x55i | /r/LocalLLaMA/comments/1p0x55i/llamacpp_kv_cache_data_type_with_fa_on_cuda_and/ | false | false | self | 1 | null |
Best LocalLLM Inference | 0 | Hey, I need the absolute best daily-driver local LLM server for my 12GB VRAM NVIDIA GPU (RTX 3060/4060-class) in late 2025.
My main uses:
- Agentic workflows (n8n, LangChain, LlamaIndex, CrewAI, Autogen, etc.)
- RAG and GraphRAG projects (long context is important)
- Tool calling / parallel tools / forced JSON output
... | 2025-11-19T03:39:40 | https://www.reddit.com/r/LocalLLaMA/comments/1p0x2aj/best_localllm_inference/ | venpuravi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0x2aj | false | null | t3_1p0x2aj | /r/LocalLLaMA/comments/1p0x2aj/best_localllm_inference/ | false | false | self | 0 | null |
Free Claude Sonnet 4.5 is the best use of Google Antigravity | 0 | So earlier post I hit my quota on Gemini 3 Pro with a single prompt. Then I noticed they have Sonnet 4.5 and it has been running for 15 minutes non-stop. Google is subsiding Claude Sonnet 4.5, and guys you should try it. | 2025-11-19T03:37:56 | https://www.reddit.com/r/LocalLLaMA/comments/1p0x0xo/free_claude_sonnet_45_is_the_best_use_of_google/ | ComposerGen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0x0xo | false | null | t3_1p0x0xo | /r/LocalLLaMA/comments/1p0x0xo/free_claude_sonnet_45_is_the_best_use_of_google/ | false | false | self | 0 | null |
What Size of LLM Can 4x RTX 5090 Handle? (96GB VRAM) | 0 | I currently have access to a server equipped with **4x RTX 5090 GPUs**. This setup provides a total of **96GB of VRAM** (assuming 24GB per card).
I'm planning to use this machine specifically for running and fine-tuning **open-source Large Language Models (LLMs)**.
Has anyone in the community tested a similar setup? ... | 2025-11-19T03:28:44 | https://www.reddit.com/r/LocalLLaMA/comments/1p0wu96/what_size_of_llm_can_4x_rtx_5090_handle_96gb_vram/ | Affectionate_Arm725 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0wu96 | false | null | t3_1p0wu96 | /r/LocalLLaMA/comments/1p0wu96/what_size_of_llm_can_4x_rtx_5090_handle_96gb_vram/ | false | false | self | 0 | null |
Model quota limit exceeded with 1 prompt Google Antigravity | 6 | I’m quite excited, so download the app and run it on an old Next.js project. The agent goes fully autonomous with a single prompt for minutes, so I grab my double cappuccino. By the time I came back, the limit was already hit.
Prompt: Understand the codebase and build the code.
Call 1-5: List files / read.
Call 6-96... | 2025-11-19T03:23:49 | https://www.reddit.com/r/LocalLLaMA/comments/1p0wqib/model_quota_limit_exceeded_with_1_prompt_google/ | ComposerGen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0wqib | false | null | t3_1p0wqib | /r/LocalLLaMA/comments/1p0wqib/model_quota_limit_exceeded_with_1_prompt_google/ | false | false | self | 6 | null |
Momentum by movementlabs.ai is not just another AI model, it's on par with GEMINI 3 at 20x the speed. | 0 | ![video]( "At this point GLM is out the picture.") | 2025-11-19T02:37:45 | https://www.reddit.com/r/LocalLLaMA/comments/1p0vrhx/momentum_by_movementlabsai_is_not_just_another_ai/ | Vast_Cupcake1039 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0vrhx | false | null | t3_1p0vrhx | /r/LocalLLaMA/comments/1p0vrhx/momentum_by_movementlabsai_is_not_just_another_ai/ | false | false | self | 0 | null |
What are the best resources to learn more about Local LLMs? | 1 | I've got an Intel **Core™ i5-9600T, 32gb, and a lot of ambition. I've installed Ollama, and a few models, but I really don't know what to expect.**
**I've been following this sub for a few days and it still feels so over my head. Is there a discord for me to ask stupid questions?**
**My goal is to make a local AI... | 2025-11-19T02:33:26 | https://www.reddit.com/r/LocalLLaMA/comments/1p0vo67/what_are_the_best_resources_to_learn_more_about/ | thevault08 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0vo67 | false | null | t3_1p0vo67 | /r/LocalLLaMA/comments/1p0vo67/what_are_the_best_resources_to_learn_more_about/ | false | false | self | 1 | null |
[LIVE] Gemini 3 Pro vs GPT-5.1: Chess Match (Testing Reasoning Capabilities) | 18 | Hi everyone,
Like many of you, I was eager to test the new Gemini 3 Pro!
I’ve just kicked off a chess game between **GPT-5.1 (White)** and **Gemini 3 Pro (Black)** on the *LLM Chess Arena* app I developed a few months ago.
A single game can take a while (sometimes several hours!), so I thought it would be fun to sha... | 2025-11-19T02:20:25 | https://www.reddit.com/r/LocalLLaMA/comments/1p0ve2s/live_gemini_3_pro_vs_gpt51_chess_match_testing/ | Apart-Ad-1684 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0ve2s | false | null | t3_1p0ve2s | /r/LocalLLaMA/comments/1p0ve2s/live_gemini_3_pro_vs_gpt51_chess_match_testing/ | false | false | self | 18 | null |
Real-world benchmark TOON with OpenAI API | 0 | # 🔬 Test Results - PRODUCTION VALIDATED
**✅ ZERO ACCURACY IMPACT**
* JSON Accuracy: **86.9%**
* TOON Accuracy: **86.9%**
* Difference: **0.0%** (identical)
**✅ SIGNIFICANT TOKEN SAVINGS**
* Total tokens saved: **545 tokens (18.3%)**
* Prompt token savings: **134 tokens per question**
**✅ COST EFFICIENT**
* Test ... | 2025-11-19T01:58:15 | https://www.reddit.com/r/LocalLLaMA/comments/1p0ux43/realworld_benchmark_toon_with_openai_api/ | Least-Barracuda-2793 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0ux43 | false | null | t3_1p0ux43 | /r/LocalLLaMA/comments/1p0ux43/realworld_benchmark_toon_with_openai_api/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'WezminywvwrGcGy8ppIYiHjWnP4uDrgXe8XCAKN5YnQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/WezminywvwrGcGy8ppIYiHjWnP4uDrgXe8XCAKN5YnQ.png?width=108&crop=smart&auto=webp&s=bf1d5c92946234fb4ad022b0531db0d97cfa8f5c', 'width': 108}, {'height': 108, 'url': 'h... |
3 Intel B580 or one used 3090? | 1 | Building my first local LLM and was wondering which of these options would be better for price to performance. TIA | 2025-11-19T01:40:08 | https://www.reddit.com/r/LocalLLaMA/comments/1p0uika/3_intel_b580_or_one_used_3090/ | MacCollins44 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0uika | false | null | t3_1p0uika | /r/LocalLLaMA/comments/1p0uika/3_intel_b580_or_one_used_3090/ | false | false | self | 1 | null |
ollama's enshitification has begun! open-source is not their priority anymore, because they're YC-backed and must become profitable for VCs... Meanwhile llama.cpp remains free, open-source, and easier-than-ever to run! No more ollama | 1,197 | 2025-11-19T01:26:53 | nderstand2grow | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p0u8hd | false | null | t3_1p0u8hd | /r/LocalLLaMA/comments/1p0u8hd/ollamas_enshitification_has_begun_opensource_is/ | false | false | default | 1,197 | {'enabled': True, 'images': [{'id': '2zt7d6q0942g1', 'resolutions': [{'height': 57, 'url': 'https://preview.redd.it/2zt7d6q0942g1.png?width=108&crop=smart&auto=webp&s=9f5ca41a77c9301a55e9f52dd21a52d965d9dcfb', 'width': 108}, {'height': 115, 'url': 'https://preview.redd.it/2zt7d6q0942g1.png?width=216&crop=smart&auto=web... | ||
GraphScout + OrKa UI using local models to explore and score reasoning paths | 3 | Here is a short video of **GraphScout** running inside OrKa UI with local models behind it.
Workflow in the clip:
* I add a GraphScout node to a set of specialist agents
* send a question into the system
* GraphScout uses a local LLM to simulate several possible reasoning paths
* each path gets a deterministic score ... | 2025-11-19T00:57:58 | https://v.redd.it/nbk94n14442g1 | marcosomma-OrKA | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p0tlmo | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/nbk94n14442g1/DASHPlaylist.mpd?a=1766105895%2CMDBiNmZlNzIxYmE0Y2VhMWEzMjZlZTQzZDMzYjQwYmVlNWZmNGE0Y2I4N2Q2ODU1MzQwYTRjMDA5Y2I3ZDk1NQ%3D%3D&v=1&f=sd', 'duration': 56, 'fallback_url': 'https://v.redd.it/nbk94n14442g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1p0tlmo | /r/LocalLLaMA/comments/1p0tlmo/graphscout_orka_ui_using_local_models_to_explore/ | false | false | 3 | {'enabled': False, 'images': [{'id': 'cHFxa3JrMDQ0NDJnMVpKx18zu2Al60haJHCIipoecy1_uH38KnrawZp01IuI', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/cHFxa3JrMDQ0NDJnMVpKx18zu2Al60haJHCIipoecy1_uH38KnrawZp01IuI.png?width=108&crop=smart&format=pjpg&auto=webp&s=4c81a6257af134c619d3feba0835ca8d4fcec... | |
Running the latest LLMs like Granite-4.0 and Qwen3 fully on ANE (Apple NPU) | 13 | Last year, our two co-founders were invited by the Apple Data & Machine Learning Innovation (DMLI) team to share our work on on-device multimodal models for local AI agents. One of the questions that came up in that discussion was: Can the latest LLMs actually run end-to-end on the Apple Neural Engine?
After months of... | 2025-11-19T00:56:41 | https://www.reddit.com/r/LocalLLaMA/comments/1p0tko5/running_the_latest_llms_like_granite40_and_qwen3/ | Different-Effect-724 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0tko5 | false | null | t3_1p0tko5 | /r/LocalLLaMA/comments/1p0tko5/running_the_latest_llms_like_granite40_and_qwen3/ | false | false | self | 13 | null |
Best VS Code Extension for using local models? | 3 | VS Code team is dragging their feet with rolling out local model (not just ollama) inference support. (Its apparently in the Insiders edition but hasnt been released to the public edition but was supposed to have months ago)
Cline has support but with 15k sys prompt it makes local inference much slower than it needs ... | 2025-11-19T00:46:43 | https://www.reddit.com/r/LocalLLaMA/comments/1p0tcov/best_vs_code_extension_for_using_local_models/ | rm-rf-rm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0tcov | false | null | t3_1p0tcov | /r/LocalLLaMA/comments/1p0tcov/best_vs_code_extension_for_using_local_models/ | false | false | self | 3 | null |
Running the latest LLMs like Granite-4.0 and Qwen3 fully on ANE (Apple NPU) | 1 | [removed] | 2025-11-19T00:21:14 | https://www.reddit.com/r/LocalLLaMA/comments/1p0ss6x/running_the_latest_llms_like_granite40_and_qwen3/ | Different-Effect-724 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0ss6x | false | null | t3_1p0ss6x | /r/LocalLLaMA/comments/1p0ss6x/running_the_latest_llms_like_granite40_and_qwen3/ | false | false | self | 1 | null |
I replicated Anthropic’s "Introspection" paper on DeepSeek-7B. It works. | 249 | 2025-11-19T00:09:39 | https://joshfonseca.com/blogs/introspection | Specialist_Bad_4465 | joshfonseca.com | 1970-01-01T00:00:00 | 0 | {} | 1p0sisn | false | null | t3_1p0sisn | /r/LocalLLaMA/comments/1p0sisn/i_replicated_anthropics_introspection_paper_on/ | false | false | default | 249 | null | |
Stop guessing RAG chunk sizes | 11 | Hi everyone,
Last week, I shared a small tool I built to solve a personal frustration: guessing chunk sizes for RAG pipelines.
The feedback here was incredibly helpful. Several of you pointed out that word-based chunking wasn't accurate enough for LLM context windows and that cloning a repo is annoying.
I spent the ... | 2025-11-18T23:54:29 | https://www.reddit.com/r/LocalLLaMA/comments/1p0s608/stop_guessing_rag_chunk_sizes/ | InstanceSignal5153 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0s608 | false | null | t3_1p0s608 | /r/LocalLLaMA/comments/1p0s608/stop_guessing_rag_chunk_sizes/ | false | false | self | 11 | {'enabled': False, 'images': [{'id': 'crZWpAWdPxvToi_-rAlqb5oZ030QFwHp0yi15nYvB_0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/crZWpAWdPxvToi_-rAlqb5oZ030QFwHp0yi15nYvB_0.png?width=108&crop=smart&auto=webp&s=9eb1839af38cd10b99ae8115fc0e869bad73dd96', 'width': 108}, {'height': 108, 'url': 'h... |
Can Open-Source AI Read Its Own Mind? | 0 | 2025-11-18T23:41:12 | https://joshfonseca.com/blogs/introspection | Specialist_Bad_4465 | joshfonseca.com | 1970-01-01T00:00:00 | 0 | {} | 1p0ruyl | false | null | t3_1p0ruyl | /r/LocalLLaMA/comments/1p0ruyl/can_opensource_ai_read_its_own_mind/ | false | false | default | 0 | null | |
The Real Meme of 2025 | 0 | I wrote all of my MCP's by vibe coding while inebriated.
And they all work. All hail Claude Code. | 2025-11-18T23:35:42 | https://www.reddit.com/r/LocalLLaMA/comments/1p0rqc9/the_real_meme_of_2025/ | david_jackson_67 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0rqc9 | false | null | t3_1p0rqc9 | /r/LocalLLaMA/comments/1p0rqc9/the_real_meme_of_2025/ | false | false | self | 0 | null |
Apple M5 news - LLM boost & clustering | 11 | 2025-11-18T23:33:08 | https://appleinsider.com/articles/25/11/18/macos-tahoe-262-will-give-m5-macs-a-giant-machine-learning-speed-boost | Secure_Archer_1529 | appleinsider.com | 1970-01-01T00:00:00 | 0 | {} | 1p0ro7q | false | null | t3_1p0ro7q | /r/LocalLLaMA/comments/1p0ro7q/apple_m5_news_llm_boost_clustering/ | false | false | default | 11 | null | |
We've gone too far - Gemini 3 pro | 0 | 2025-11-18T23:26:06 | Shyvadi | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p0riaw | false | null | t3_1p0riaw | /r/LocalLLaMA/comments/1p0riaw/weve_gone_too_far_gemini_3_pro/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'dbc4of9sn32g1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/dbc4of9sn32g1.png?width=108&crop=smart&auto=webp&s=622633b44de7f60b8d5fbd1958a6acaecd4bdb3f', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/dbc4of9sn32g1.png?width=216&crop=smart&auto=we... | ||
CodeMode vs Traditional MCP benchmark | 49 | 2025-11-18T23:13:56 | juanviera23 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1p0r7uw | false | null | t3_1p0r7uw | /r/LocalLLaMA/comments/1p0r7uw/codemode_vs_traditional_mcp_benchmark/ | false | false | default | 49 | {'enabled': True, 'images': [{'id': 'js0ua9ikl32g1', 'resolutions': [{'height': 78, 'url': 'https://preview.redd.it/js0ua9ikl32g1.png?width=108&crop=smart&auto=webp&s=3a12443ff00ad5e434b757aa3425a477e3484fd6', 'width': 108}, {'height': 157, 'url': 'https://preview.redd.it/js0ua9ikl32g1.png?width=216&crop=smart&auto=web... | ||
Llama Nemoretriever Colembed: Top‑Performing Text‑Image Retrieval Model | 3 | A 1B/3B model built for text-image retrieval, hits SOTA on cross-modal benchmarks, open-source win for local llama-style setups! | 2025-11-18T23:13:04 | https://arxiv.org/abs/2507.05513 | juanviera23 | arxiv.org | 1970-01-01T00:00:00 | 0 | {} | 1p0r73m | false | null | t3_1p0r73m | /r/LocalLLaMA/comments/1p0r73m/llama_nemoretriever_colembed_topperforming/ | false | false | default | 3 | null |
GLM 4.6 on 128 GB RAM with llama.cpp | 130 | Recently I got my hands on a new box at work with 128 GB RAM and 32 GB VRAM (it's a semi-budget option, with 2x5070, but it performs really well). I decided I'm going to try a few of the bigger models. Obviously, a very good model to run on this is GPT-OSS-120B and it's been the default model, but I've set my eyes on t... | 2025-11-18T23:11:48 | https://www.reddit.com/r/LocalLLaMA/comments/1p0r5ww/glm_46_on_128_gb_ram_with_llamacpp/ | ilintar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1p0r5ww | false | null | t3_1p0r5ww | /r/LocalLLaMA/comments/1p0r5ww/glm_46_on_128_gb_ram_with_llamacpp/ | false | false | self | 130 | {'enabled': False, 'images': [{'id': 'pt7n3Fg8IYhvkV-IpirlkmFh6bO5nZOE1-FkE1Sh45w', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/pt7n3Fg8IYhvkV-IpirlkmFh6bO5nZOE1-FkE1Sh45w.png?width=108&crop=smart&auto=webp&s=62c91456e91e6c7046705f32566d6972d48ed110', 'width': 108}, {'height': 116, 'url': 'h... |
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