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I built a batteries included library to let any app spawn sandboxes from OCI images | 1 | Hey everyone,
I’ve been hacking on a small project that lets you equip (almost) any app with the ability to spawn sandboxes based on OCI-compatible images.
The idea is:
• Your app doesn’t need to know container internals
• It just asks the library to start a sandbox from an OCI image
• The sandbox handles isolatio... | 2025-12-09T17:57:18 | https://www.reddit.com/r/LocalLLaMA/comments/1piebro/i_built_a_batteries_included_library_to_let_any/ | DorianZheng | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1piebro | false | null | t3_1piebro | /r/LocalLLaMA/comments/1piebro/i_built_a_batteries_included_library_to_let_any/ | true | false | spoiler | 1 | null |
I wanted audiobooks of stories that don't exist - so I built an app to read them to me | 1 | After multiple weeks of work, I'm excited to share my passion project: an open-source desktop app for creating audiobooks using AI text-to-speech with voice cloning.
**The story behind it:**
I wanted to listen to fan fiction and web novels that don't have audiobook versions. Commercial TTS services are expensive and ... | 2025-12-09T17:40:47 | https://www.reddit.com/r/LocalLLaMA/comments/1piduwm/i_wanted_audiobooks_of_stories_that_dont_exist_so/ | DigiJoe79 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1piduwm | false | null | t3_1piduwm | /r/LocalLLaMA/comments/1piduwm/i_wanted_audiobooks_of_stories_that_dont_exist_so/ | false | false | self | 1 | null |
Bridging local LLMs with specialized agents (personal project) - looking for feedback | 1 | (This post is 100% self-promotion, so feel free to moderate it if it goes against the rules.)
Hi guys, I've been working on this project of mine and I'm trying to get a temperature check if it's something people would be interested in. It's called "Neutra AI" (neutra-ai.com).
The idea is simple: give your local L... | 2025-12-09T17:11:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pid250/bridging_local_llms_with_specialized_agents/ | webs7er | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pid250 | false | null | t3_1pid250 | /r/LocalLLaMA/comments/1pid250/bridging_local_llms_with_specialized_agents/ | false | false | self | 1 | null |
People with dual gpu specially 8gb + 16gb mind to share your experience? | 1 | What are the biggest models you can run?
How good is dual gpu setup?
I'm mostly interested in 27b and 32b models.
Currently I have 4060 8gb vram and I'm thinking on getting 5060ti 16gb. | 2025-12-09T17:06:14 | https://www.reddit.com/r/LocalLLaMA/comments/1picwyw/people_with_dual_gpu_specially_8gb_16gb_mind_to/ | ResponsibleTruck4717 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1picwyw | false | null | t3_1picwyw | /r/LocalLLaMA/comments/1picwyw/people_with_dual_gpu_specially_8gb_16gb_mind_to/ | false | false | self | 1 | null |
Phantom-Fragment beta improvement branch | 1 | Well actually 2 months ago I posted regarding phantom fragment and I was working on it's performance then I hit fundamental limits of go language so I had to change to rust and zig (no common language but it's good for c like working) some key improvement
Minimal memory footprint (~1–3 MB per fragment)
Fast cold star... | 2025-12-09T17:05:20 | https://www.reddit.com/r/LocalLLaMA/comments/1picw42/phantomfragment_beta_improvement_branch/ | Ok_Horror_8567 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1picw42 | false | null | t3_1picw42 | /r/LocalLLaMA/comments/1picw42/phantomfragment_beta_improvement_branch/ | false | false | self | 1 | null |
DeepSeek V3.2 got gold at IMO and IOI - weights on HF, MIT license, but Speciale expires Dec 15 | 1 | DeepSeek dropped V3.2 last week and the results are kind of insane:
- Gold medal score on IMO 2025 (actual competition problems)
- Gold at IOI 2025 (programming olympiad)
- 2nd place ICPC World Finals
- Beats GPT-5 on math/reasoning benchmarks
The model is on Hugging Face under MIT license: https://huggingface.co/dee... | 2025-12-09T17:00:35 | https://www.reddit.com/r/LocalLLaMA/comments/1picr9o/deepseek_v32_got_gold_at_imo_and_ioi_weights_on/ | Proof-Possibility-54 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1picr9o | false | null | t3_1picr9o | /r/LocalLLaMA/comments/1picr9o/deepseek_v32_got_gold_at_imo_and_ioi_weights_on/ | false | false | self | 1 | null |
Building Gemma 3 | 1 | 2025-12-09T16:56:20 | https://www.reddit.com/r/LocalLLaMA/comments/1picn28/building_gemma_3/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1picn28 | false | null | t3_1picn28 | /r/LocalLLaMA/comments/1picn28/building_gemma_3/ | false | false | 1 | null | ||
[OPENSOURCE] Whisper finetuning, inference, auto gpu upscale, proxy and co | 1 | With my cofounder we spent 2 months building a system to simply generate synthetic data and train Whisper Large V3 Turbo.
We reach on average +50% accuracy.
We built a whole infra like Deepgram that can auto upscale GPUs based on usage, with a proxy to dispatch based on location and inference in 300MS for voice AI.
... | 2025-12-09T16:47:51 | https://www.reddit.com/r/LocalLLaMA/comments/1picexa/opensource_whisper_finetuning_inference_auto_gpu/ | Wide_Appointment9924 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1picexa | false | null | t3_1picexa | /r/LocalLLaMA/comments/1picexa/opensource_whisper_finetuning_inference_auto_gpu/ | false | false | self | 1 | null |
Llama.cpp Vulkan benchmarks by Phoronix | 1 | 2025-12-09T16:47:24 | https://www.phoronix.com/review/llama-cpp-vulkan-eoy2025/2 | ymmvxd | phoronix.com | 1970-01-01T00:00:00 | 0 | {} | 1picehv | false | null | t3_1picehv | /r/LocalLLaMA/comments/1picehv/llamacpp_vulkan_benchmarks_by_phoronix/ | false | false | default | 1 | null | |
Olares One Backer! | 1 | I just backed the Olares One as backer #19. It’s a personal cloud AI computer that ships in February, and I’m genuinely excited to get my hands on it. It can run completely headless, or be plugged into monitors. If you’re into local AI, privacy, or owning your own compute, this one looks promising.
Here’s the link if ... | 2025-12-09T16:29:33 | https://www.reddit.com/r/LocalLLaMA/comments/1pibx3i/olares_one_backer/ | JLToro | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pibx3i | false | null | t3_1pibx3i | /r/LocalLLaMA/comments/1pibx3i/olares_one_backer/ | false | false | self | 1 | null |
Why is Kyutai’s Moshi model so emotionally flat compared to Sesame, even though both use the same MiMi encoder–decoder? | 1 | I’ve been testing Kyutai’s **Moshi** model, and one thing stands out: it’s really *not* emotionally intelligent. It often sounds neutral, flat, or unable to reflect emotions—almost like a regular tts model.
But then there’s **Sesame**, which uses the *exact same* MiMi encoder/decoder architecture (at least from what h... | 2025-12-09T16:12:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pibggs/why_is_kyutais_moshi_model_so_emotionally_flat/ | Forsaken-Turnip-6664 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pibggs | false | null | t3_1pibggs | /r/LocalLLaMA/comments/1pibggs/why_is_kyutais_moshi_model_so_emotionally_flat/ | false | false | self | 1 | null |
New ways to roast people in the AI era | 1 | In the AI era, we can update the way we roast people.
Instead of saying "nerd," try saying "benchmaxxed."
Instead of saying "brain-dead," try saying "pruned/quantized."
Instead of saying "no brain," try saying "low params count."
Instead of saying "didn't study," try saying "undertrained."
Instead of saying "onl... | 2025-12-09T16:04:20 | https://www.reddit.com/r/LocalLLaMA/comments/1pib8z9/new_ways_to_roast_people_in_the_ai_era/ | InternationalAsk1490 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pib8z9 | false | null | t3_1pib8z9 | /r/LocalLLaMA/comments/1pib8z9/new_ways_to_roast_people_in_the_ai_era/ | false | false | self | 1 | null |
MagicQuant - Hybrid Evolution GGUF (TPS boosts, precision gains, full transparency) | 1 | I’ve been building a system that evolves **hybrid GGUF quantizations** to automatically find the best tensor level mix for any model.
It’s called **MagicQuant**, and the whole idea is simple:
**Stop guessing quant types. Let the math decide the optimal configuration.**
MagicQuant runs survival rounds, epsilon-greedy ... | 2025-12-09T15:47:38 | https://www.reddit.com/r/LocalLLaMA/comments/1piasv8/magicquant_hybrid_evolution_gguf_tps_boosts/ | crossivejoker | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1piasv8 | false | null | t3_1piasv8 | /r/LocalLLaMA/comments/1piasv8/magicquant_hybrid_evolution_gguf_tps_boosts/ | false | false | self | 1 | null |
UPDATE: I turned my Synt-E prompt compiler into a system-wide hotkey tool, based on your feedback! (v1.0.0 Release) | 1 | Hey r/LocalLLaMA,
Yesterday I posted the first version of my Synt-E project, a Python script to compile natural language into efficient commands for local LLMs. I got a couple of stars on GitHub and some really insightful comments that made me rethink the core functionality.
The main issue was the script's fragility ... | 2025-12-09T15:35:50 | https://www.reddit.com/r/LocalLLaMA/comments/1piahob/update_i_turned_my_synte_prompt_compiler_into_a/ | Prestigious_Mix_2000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1piahob | false | null | t3_1piahob | /r/LocalLLaMA/comments/1piahob/update_i_turned_my_synte_prompt_compiler_into_a/ | false | false | self | 1 | null |
Devstral-Small-2-24B-Instruct-2512 on Hugging Face | 1 | 2025-12-09T15:29:19 | https://huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512 | paf1138 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1piabn8 | false | null | t3_1piabn8 | /r/LocalLLaMA/comments/1piabn8/devstralsmall224binstruct2512_on_hugging_face/ | false | false | default | 1 | null | |
Devstral 2 - a mistralai Collection | 1 | 2025-12-09T15:23:10 | https://huggingface.co/collections/mistralai/devstral-2 | Dark_Fire_12 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pia5sy | false | null | t3_1pia5sy | /r/LocalLLaMA/comments/1pia5sy/devstral_2_a_mistralai_collection/ | false | false | default | 1 | null | |
Devstral 2 and Mistral Vibe CLI released. | 1 | 2025-12-09T15:13:18 | https://mistral.ai/news/devstral-2-vibe-cli | hedgehog0 | mistral.ai | 1970-01-01T00:00:00 | 0 | {} | 1pi9wpt | false | null | t3_1pi9wpt | /r/LocalLLaMA/comments/1pi9wpt/devstral_2_and_mistral_vibe_cli_released/ | false | false | default | 1 | null | |
QonQrete – Local-First Multi-Agent “Construction Yard” for LLM Dev Workflows | 1 | Hey guys/girls,
I’ve been working on a local-first agentic dev pipeline and just cut a beta release I’d love feedback on.
**QonQrete v0.5.0 (beta)** is a local-first, multi-agent orchestration system for building software with LLMs you control. The idea is to treat your machine like an **AI construction yard**: agent... | 2025-12-09T15:11:03 | https://www.reddit.com/r/LocalLLaMA/comments/1pi9uq1/qonqrete_localfirst_multiagent_construction_yard/ | illdynamics | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi9uq1 | false | null | t3_1pi9uq1 | /r/LocalLLaMA/comments/1pi9uq1/qonqrete_localfirst_multiagent_construction_yard/ | false | false | self | 1 | null |
Best model for 7900 xtx setup | 1 | Hi, I'm looking for a good AI model that will be best in class for my hardware. I have a Ryzen 5800X3D, 32GB RAM, 7900xtx, Windows 10, Lmstudio with MCP. I'm looking for a good model that will be good in many areas for programming, etc. I don't know much about programming, so I'd like the model to do that for me. But i... | 2025-12-09T15:08:55 | https://www.reddit.com/r/LocalLLaMA/comments/1pi9ssp/best_model_for_7900_xtx_setup/ | meatal_gear1324 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi9ssp | false | null | t3_1pi9ssp | /r/LocalLLaMA/comments/1pi9ssp/best_model_for_7900_xtx_setup/ | false | false | self | 1 | null |
Introducing: Devstral 2 and Mistral Vibe CLI. | Mistral AI | 1 | 2025-12-09T15:05:54 | https://mistral.ai/news/devstral-2-vibe-cli | YanderMan | mistral.ai | 1970-01-01T00:00:00 | 0 | {} | 1pi9q3t | false | null | t3_1pi9q3t | /r/LocalLLaMA/comments/1pi9q3t/introducing_devstral_2_and_mistral_vibe_cli/ | false | false | default | 1 | null | |
llama.cpp and CUDA 13.1 not using GPU on Win 11 | 1 | Hi all. I'm using `llama.cpp (b7330)` on Windows 11 and tried switching from the CUDA 12-based version to the CUDA 13 (13.1) version. When I run `llama-server` or `llama-bench`, it seems to recognize my **NVIDIA T600 Laptop GPU**, but then it doesn't use it for processing, defaulting entirely to the CPU. Crucially, it ... | 2025-12-09T15:00:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pi9ku4/llamacpp_and_cuda_131_not_using_gpu_on_win_11/ | Haunting_Dingo2129 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi9ku4 | false | null | t3_1pi9ku4 | /r/LocalLLaMA/comments/1pi9ku4/llamacpp_and_cuda_131_not_using_gpu_on_win_11/ | false | false | self | 1 | null |
PaCoRe: The first open-source deep think 8B model beats GPT-5 on HMMT25 | 1 | Introducing Parallel Coordinated Reasoning (PaCoRe)
An 8B **model beats GPT-5 on** HMMT25 by unlocking parallel thinking for te**st-time scaling!**
The first open-source **deep think:** data + model + inference code!
MIT-licensed — use it however you want
\- Github: [https://github.com/stepfun-ai/PaCoRe](https://gi... | 2025-12-09T14:54:13 | https://www.reddit.com/r/LocalLLaMA/comments/1pi9fpf/pacore_the_first_opensource_deep_think_8b_model/ | Fancy_Fanqi77 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi9fpf | false | null | t3_1pi9fpf | /r/LocalLLaMA/comments/1pi9fpf/pacore_the_first_opensource_deep_think_8b_model/ | false | false | self | 1 | null |
Crowdsourcing World Models | 1 | Open Ontology is a public engine for generating structured world models for any topic.
Create new models, expand existing ones, run discoveries, and help grow a shared, organized map of knowledge using your own API keys.
Each model is a full ontology: concepts, relationships, subdomains, workflows, and reasoning stru... | 2025-12-09T14:49:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pi9b5a/crowdsourcing_world_models/ | OpenOntology | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi9b5a | false | null | t3_1pi9b5a | /r/LocalLLaMA/comments/1pi9b5a/crowdsourcing_world_models/ | false | false | self | 1 | null |
Micron 🧐💀 | 1 | -> today, what companies that train models are looking for is to look for optimizations and that it is cheap to train, for example when the TPU issue came up, that is, there will not always be a high demand
-> perhaps in 2026 more optimizations will come out of China, which may lead to lower consumption
-> An HBM pl... | 2025-12-09T14:38:24 | Illustrious-Swim9663 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pi91e7 | false | null | t3_1pi91e7 | /r/LocalLLaMA/comments/1pi91e7/micron/ | false | false | default | 1 | {'images': [{'source': {'url': 'https://preview.redd.it/ol4nyn3sw66g1.jpeg?auto=webp&s=27479d484e39ad2946b23df7f4fa729077813a37', 'width': 1080, 'height': 197}, 'resolutions': [{'url': 'https://preview.redd.it/ol4nyn3sw66g1.jpeg?width=108&crop=smart&auto=webp&s=bb20a8de4a4878d8a4d10a7c5c39d196f543abf7', 'width': 108, '... | |
Micron 💀🧐 | 1 | [deleted] | 2025-12-09T14:37:35 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1pi90q0 | false | null | t3_1pi90q0 | /r/LocalLLaMA/comments/1pi90q0/micron/ | false | false | default | 1 | null | ||
Which small model is best for fine-tuning? We tested 12 of them by spending $10K - here's what we found | 1 | **TL;DR:** We fine-tuned 12 small models to find which ones are most tunable and perform best after fine-tuning. Surprise finding: Llama-3.2-1B showed the biggest improvement (most tunable), while Qwen3-4B delivered the best final performance - matching a 120B teacher on 7/8 tasks and outperforming by 19 points on the ... | 2025-12-09T14:35:50 | party-horse | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pi8z74 | false | null | t3_1pi8z74 | /r/LocalLLaMA/comments/1pi8z74/which_small_model_is_best_for_finetuning_we/ | false | false | default | 1 | {'images': [{'source': {'url': 'https://preview.redd.it/h9d1fvb7w66g1.png?auto=webp&s=1f9df0d4703570e0715694a88e58739c19e86c69', 'width': 6000, 'height': 3375}, 'resolutions': [{'url': 'https://preview.redd.it/h9d1fvb7w66g1.png?width=108&crop=smart&auto=webp&s=d18693781e0da66e49d98d3f81e74f30f9ceff1b', 'width': 108, 'h... | |
Rnj-1 8B , 43.3 on AIME25 , wow - anyone tried it? | 1 | ERROR: type should be string, got "\n\nhttps://preview.redd.it/9o0g3wo8v66g1.png?width=3864&format=png&auto=webp&s=01499253ab84c6e780c6ac8c9dbe59adb4ec4dbe\n\n[https://huggingface.co/EssentialAI/rnj-1-instruct](https://huggingface.co/EssentialAI/rnj-1-instruct) " | 2025-12-09T14:30:22 | https://www.reddit.com/r/LocalLLaMA/comments/1pi8uid/rnj1_8b_433_on_aime25_wow_anyone_tried_it/ | Terrible_Scar_9890 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi8uid | false | null | t3_1pi8uid | /r/LocalLLaMA/comments/1pi8uid/rnj1_8b_433_on_aime25_wow_anyone_tried_it/ | false | false | 1 | null | |
[HELP] Open source implementation for making derestricted models | 4 | [Orion-zhen/abliteration](https://github.com/Orion-zhen/abliteration).
I have implemented [Norm-Preserving Biprojected Abliteration](https://huggingface.co/blog/grimjim/norm-preserving-biprojected-abliteration) method here, but I have no idea how to make a derestricted model that actually works.
So I need help from t... | 2025-12-09T14:21:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pi8n28/help_open_source_implementation_for_making/ | Apprehensive_Bed7502 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi8n28 | false | null | t3_1pi8n28 | /r/LocalLLaMA/comments/1pi8n28/help_open_source_implementation_for_making/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'Kch7kfsEVSv3T3RBqy9tmq4C6kmfx2ZjKdmJGcDepBE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Kch7kfsEVSv3T3RBqy9tmq4C6kmfx2ZjKdmJGcDepBE.png?width=108&crop=smart&auto=webp&s=737ea7e8f7ba8cb906366d277badffac8932869f', 'width': 108}, {'height': 108, 'url': 'h... |
Artifex: A tiny CPU-friendly toolkit for inference and fine-tuning small LLMs without training data | 5 | Hi everyone,
I’ve been working on a lightweight Python toolkit called **Artifex**, aimed at making it easy to **run** and **fine-tune** small LLMs entirely on CPU and without training data.
GitHub: [https://github.com/tanaos/artifex](https://github.com/tanaos/artifex?utm_source=chatgpt.com)
A lot of small/CPU-capab... | 2025-12-09T14:15:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pi8i1k/artifex_a_tiny_cpufriendly_toolkit_for_inference/ | Ok_Hold_5385 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi8i1k | false | null | t3_1pi8i1k | /r/LocalLLaMA/comments/1pi8i1k/artifex_a_tiny_cpufriendly_toolkit_for_inference/ | false | false | self | 5 | null |
[help] RTX pro 6000 - llama.cpp Qwen3-Next-80B maxes out at 70% gpu? | 0 | Hey all,
I've got a question. I run `Qwen3-Next-80B-A3B-Instruct-Q6_KQwen3-Next-80B-A3B-Instruct-Q6_K` on my `RTX pro 6000 max-q 96gb`. But it maxes out at 70% with peaks to 75% gpu utilization. Is there a way to optimize my settings??
llama-swap settings:
"Qwen3-Next-8`0B-A3B-Instruct":`
`name: "Qwen3-Next... | 2025-12-09T13:57:29 | https://www.reddit.com/r/LocalLLaMA/comments/1pi82p2/help_rtx_pro_6000_llamacpp_qwen3next80b_maxes_out/ | designbanana | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi82p2 | false | null | t3_1pi82p2 | /r/LocalLLaMA/comments/1pi82p2/help_rtx_pro_6000_llamacpp_qwen3next80b_maxes_out/ | false | false | self | 0 | null |
A return to dense models? | 0 | It seems like an easy no based on previous conversations with model makers, but current RAM prices would argue against the norm.
I think the tie breaker is those building models already have the RAM and are still compute bound.
What are your thoughts on this possibility? | 2025-12-09T13:39:13 | https://www.reddit.com/r/LocalLLaMA/comments/1pi7nj0/a_return_to_dense_models/ | silenceimpaired | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi7nj0 | false | null | t3_1pi7nj0 | /r/LocalLLaMA/comments/1pi7nj0/a_return_to_dense_models/ | false | false | self | 0 | null |
Targetly - Deploy MCP Tools in One Command | 0 | Hey folks,
I’ve been building Targetly, a lightweight cloud runtime made specifically for hosting MCP tools. The goal is dead simple: your local MCP tool → a fully deployed, publicly accessible MCP server in one command.
It runs in an isolated container, handles resource management behind the scenes, and doesn't bot... | 2025-12-09T13:34:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pi7jiv/targetly_deploy_mcp_tools_in_one_command/ | LegitimateKey7444 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi7jiv | false | null | t3_1pi7jiv | /r/LocalLLaMA/comments/1pi7jiv/targetly_deploy_mcp_tools_in_one_command/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': '-Ehu2EjIKzkfojQYTVlvhM2w4T7YUelwk0HJwxKfkDk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/-Ehu2EjIKzkfojQYTVlvhM2w4T7YUelwk0HJwxKfkDk.png?width=108&crop=smart&auto=webp&s=579858cdc9cf715dee9756efc5f203b721b32d2f', 'width': 108}, {'height': 108, 'url': 'h... |
How to run Qwen3-next 80b when you are poor | 0 | So, qwen3-next is finally available in ollama. Kudos to Alibabians out there.
Any ideas how to run it without +51GB of VRAM for the Q4 quant? My current setup is 2x RTX3090 so 48GB of Vram, the server has 256GB of ddr4 with 80 cpus, so while I technically \_can run\_ the model (same with gpt-oss:120b) well the token ... | 2025-12-09T13:33:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pi7ig7/how_to_run_qwen3next_80b_when_you_are_poor/ | ChopSticksPlease | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi7ig7 | false | null | t3_1pi7ig7 | /r/LocalLLaMA/comments/1pi7ig7/how_to_run_qwen3next_80b_when_you_are_poor/ | false | false | self | 0 | null |
got tired of staring at raw logs while my local agents ran, so I built a "Mission Control" UI that connects to my terminal. Thoughts? | 19 | I've been running a lot of long-running agents (Claude Code / Open Interpreter / Codex) on my local machine and VPS.
The problem is: if I step away, I lose visibility. And reading raw matrix-style logs on my phone via SSH is painful. (I even built an Android app for that)
I built this "Control Plane" prototype. It ba... | 2025-12-09T13:16:45 | https://v.redd.it/8rqdptuwh66g1 | Durst123 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pi75j1 | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/8rqdptuwh66g1/DASHPlaylist.mpd?a=1767878234%2CNGZhOTNmZGFlYjM2ZTY2Y2FhODAwYTY1Y2E5MDMzNWZlNDFmMDM1OTUyZDY2NjIzNGRkZDgyOWZiNTM5ODc2MQ%3D%3D&v=1&f=sd', 'duration': 22, 'fallback_url': 'https://v.redd.it/8rqdptuwh66g1/CMAF_720.mp4?source=fallback', 'ha... | t3_1pi75j1 | /r/LocalLLaMA/comments/1pi75j1/got_tired_of_staring_at_raw_logs_while_my_local/ | false | false | 19 | {'enabled': False, 'images': [{'id': 'OTVjcnA0dndoNjZnMWDQvuPx_qAwAWbSlGAjJ1Y3p2Pqxou6uljBUEewC7tF', 'resolutions': [{'height': 71, 'url': 'https://external-preview.redd.it/OTVjcnA0dndoNjZnMWDQvuPx_qAwAWbSlGAjJ1Y3p2Pqxou6uljBUEewC7tF.png?width=108&crop=smart&format=pjpg&auto=webp&s=707434d028b5a2af9f92cdd0293333252d6c3... | |
Discussion: Notable LLM, RAG and Agents Papers from Early December 2025 | 1 | [removed] | 2025-12-09T13:14:07 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1pi73ej | false | null | t3_1pi73ej | /r/LocalLLaMA/comments/1pi73ej/discussion_notable_llm_rag_and_agents_papers_from/ | false | false | default | 1 | null | ||
Improving tps from gpt-oss-120b on 16gb VRAM & 80gb DDR4 RAM | 1 | Getting 6.5 tokens per second running gpt-oss-120b on LM Studio. Surprised it even ran, but definitely very slow.
Current setup:
- Intel i7-11700 @ 2.50GHz
- 1x 5060Ti 16gb on PCIe x16
- 2x 32 GB DDR4-3200 CL20 RAM
- 1x 16 GB DDR4-3200 CL20 RAM
Would there be any increase in performance if I added an additional 506... | 2025-12-09T13:06:12 | https://www.reddit.com/r/LocalLLaMA/comments/1pi6x6c/improving_tps_from_gptoss120b_on_16gb_vram_80gb/ | Careful_Breath_1108 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi6x6c | false | null | t3_1pi6x6c | /r/LocalLLaMA/comments/1pi6x6c/improving_tps_from_gptoss120b_on_16gb_vram_80gb/ | false | false | self | 1 | null |
Discussion: Notable LLM Papers from Early December 2025 | 1 | [removed] | 2025-12-09T13:02:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pi6uch/discussion_notable_llm_papers_from_early_december/ | Dear-Success-1441 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi6uch | false | null | t3_1pi6uch | /r/LocalLLaMA/comments/1pi6uch/discussion_notable_llm_papers_from_early_december/ | false | false | self | 1 | null |
Discussion: The 1,000x Cost Gap. Why I finally stopped renting GPT-4 and moved to Llama 3. | 1 | [removed] | 2025-12-09T12:59:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pi6rsu/discussion_the_1000x_cost_gap_why_i_finally/ | Medium_Cup_4423 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi6rsu | false | null | t3_1pi6rsu | /r/LocalLLaMA/comments/1pi6rsu/discussion_the_1000x_cost_gap_why_i_finally/ | false | false | self | 1 | null |
Must-Read LLM Papers from Last Week (December Week 1, 2025) | 1 | [removed] | 2025-12-09T12:58:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pi6qut/mustread_llm_papers_from_last_week_december_week/ | Dear-Success-1441 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi6qut | false | null | t3_1pi6qut | /r/LocalLLaMA/comments/1pi6qut/mustread_llm_papers_from_last_week_december_week/ | false | false | 1 | null | |
Models that has the least collapse when ctx length grows. Especially using it with tools. | 16 | what is your experience. Any models you can realiably push to 128k or even past that with consistent success and not getting into retry loops or thinking loops with tools?? My best expereince so far is gpt-oss at 64k but past 64k its starts to get hickups and missaps. what are your experiences? | 2025-12-09T12:44:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pi6hbx/models_that_has_the_least_collapse_when_ctx/ | Express_Quail_1493 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi6hbx | false | null | t3_1pi6hbx | /r/LocalLLaMA/comments/1pi6hbx/models_that_has_the_least_collapse_when_ctx/ | false | false | self | 16 | null |
Hunyuan1.5 is actually a scam | 0 | I am getting awful results!! It doesn't match Amy of the official demo! Wasted so much time on this garbage.
I have tried so many variations too: cfg distilled, fp8, GGUF, step distilled.
All garbage. | 2025-12-09T12:42:18 | https://www.reddit.com/r/LocalLLaMA/comments/1pi6fhh/hunyuan15_is_actually_a_scam/ | Slight_Tone_2188 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi6fhh | false | null | t3_1pi6fhh | /r/LocalLLaMA/comments/1pi6fhh/hunyuan15_is_actually_a_scam/ | false | false | self | 0 | null |
Will the LLM size grow or not? | 0 | What is your observation of the current trend and prediction for the future - will the LLM size grow or not?
I am asking not only about the parameter size but also about the actual model size on the disk. | 2025-12-09T12:22:44 | ThingRexCom | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pi622p | false | null | t3_1pi622p | /r/LocalLLaMA/comments/1pi622p/will_the_llm_size_grow_or_not/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'x3QY_cN_H4zVWhqLUedpdLHcmkLa7ZS5oQPfPB2IurI', 'resolutions': [{'height': 58, 'url': 'https://preview.redd.it/vr7igap0866g1.png?width=108&crop=smart&auto=webp&s=17edeb532d8dfdaea6b52e0abf19be7520d249f6', 'width': 108}, {'height': 117, 'url': 'https://preview.redd.it/vr7igap0866g1.png... | ||
"I don't think it's a good idea for AI models to encourage cautionary views on majority rule." | 0 | 2025-12-09T12:12:09 | https://www.reddit.com/r/LocalLLaMA/comments/1pi5uy2/i_dont_think_its_a_good_idea_for_ai_models_to/ | Virtual-Quail5760 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi5uy2 | false | null | t3_1pi5uy2 | /r/LocalLLaMA/comments/1pi5uy2/i_dont_think_its_a_good_idea_for_ai_models_to/ | false | false | 0 | null | ||
I built a visualizer to explain why LLMs fail at simple math (The BPE Tokenization Trap) - Feedback wanted | 1 | [removed] | 2025-12-09T11:37:45 | https://www.reddit.com/r/LocalLLaMA/comments/1pi593c/i_built_a_visualizer_to_explain_why_llms_fail_at/ | Emotional_Bike764 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi593c | false | null | t3_1pi593c | /r/LocalLLaMA/comments/1pi593c/i_built_a_visualizer_to_explain_why_llms_fail_at/ | false | false | 1 | null | |
GLM-4.6V Model Now Available in GGUF Format | 90 | I recently came the GGUF version of the popular GLM-4.6V model. I shared this as this will be useful to many who want to try this model. | 2025-12-09T11:20:33 | https://huggingface.co/unsloth/GLM-4.6V-Flash-GGUF | Dear-Success-1441 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pi4yr4 | false | null | t3_1pi4yr4 | /r/LocalLLaMA/comments/1pi4yr4/glm46v_model_now_available_in_gguf_format/ | false | false | default | 90 | {'enabled': False, 'images': [{'id': 'DmQpOneG32bl0j63UZH5xIwLDgq-lgYKNllu4rNGOIU', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/DmQpOneG32bl0j63UZH5xIwLDgq-lgYKNllu4rNGOIU.png?width=108&crop=smart&auto=webp&s=21869cd700f613c81a5df6bf821862d24237836f', 'width': 108}, {'height': 116, 'url': 'h... |
nano-trm - Train your own TRM in a few minutes | 19 | Hi folks!
Tiny Recursive Models reach impressive results on ARC AGI. I implemented a version from scratch, with ease of experimentation in mind:
* cleaner config: hydra, uv, lightning
* smaller datasets for faster iteration (Sudoku 6x6 and 9x9)
* introduction, in-code video
All important implementation details have ... | 2025-12-09T11:07:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pi4qmg/nanotrm_train_your_own_trm_in_a_few_minutes/ | randomwalkin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi4qmg | false | null | t3_1pi4qmg | /r/LocalLLaMA/comments/1pi4qmg/nanotrm_train_your_own_trm_in_a_few_minutes/ | false | false | self | 19 | {'enabled': False, 'images': [{'id': '3sqKv2Zbm6nA92nscvGgvYFpBOrFevYNx5vYDNiNIBY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/3sqKv2Zbm6nA92nscvGgvYFpBOrFevYNx5vYDNiNIBY.png?width=108&crop=smart&auto=webp&s=bf2eaf2b9902716fb1a531ffd29c24e22e976d45', 'width': 108}, {'height': 108, 'url': 'h... |
Anyone running open source LLMs daily? What is your current setup? | 4 | I want to know what hardware helps you maintain a stable workflow.
Are you on rented GPUs or something else? | 2025-12-09T10:47:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pi4ei9/anyone_running_open_source_llms_daily_what_is/ | frentro_max | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi4ei9 | false | null | t3_1pi4ei9 | /r/LocalLLaMA/comments/1pi4ei9/anyone_running_open_source_llms_daily_what_is/ | false | false | self | 4 | null |
Isn't that a juicy server? Nvidia GH200 624GB, Grace Hopper, 144GB HBM3e, 624GB total. | 0 | 2025-12-09T10:24:40 | GPTrack-dot-ai | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pi41l3 | false | null | t3_1pi41l3 | /r/LocalLLaMA/comments/1pi41l3/isnt_that_a_juicy_server_nvidia_gh200_624gb_grace/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'vghyqrf4n56g1', 'resolutions': [{'height': 81, 'url': 'https://preview.redd.it/vghyqrf4n56g1.jpeg?width=108&crop=smart&auto=webp&s=cc20576cd6f4d23ed45ece77098e20dd20e5bc9e', 'width': 108}, {'height': 162, 'url': 'https://preview.redd.it/vghyqrf4n56g1.jpeg?width=216&crop=smart&auto=w... | ||
What ate some good desktop front-end dashboard apps that connect to your local LLM server? | 0 | dashboard app in the sense of front-end visualization layers… | 2025-12-09T10:17:38 | https://www.reddit.com/r/LocalLLaMA/comments/1pi3x97/what_ate_some_good_desktop_frontend_dashboard/ | FatFigFresh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi3x97 | false | null | t3_1pi3x97 | /r/LocalLLaMA/comments/1pi3x97/what_ate_some_good_desktop_frontend_dashboard/ | false | false | self | 0 | null |
speculative decoding with Gemma-3-12b/3-27b. Is it possible? | 2 | Hi
I'm using lm studio and trying mlx models on my macbook.
I understood that with speculative decoding I should be able to combine the main model with a smaller draft model from the same family.
I can't however get any of the google gemma-3-12b/ or 3-27b models to play nice with the smaller 3-1B model. That is it d... | 2025-12-09T09:55:31 | https://www.reddit.com/r/LocalLLaMA/comments/1pi3krb/speculative_decoding_with_gemma312b327b_is_it/ | Agitated_Power_3159 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi3krb | false | null | t3_1pi3krb | /r/LocalLLaMA/comments/1pi3krb/speculative_decoding_with_gemma312b327b_is_it/ | false | false | self | 2 | null |
Llama.cpp - failed to restore kv cache | 1 | Anyone else getting these errors?
Was running the aider benchmark with gpt120. It seemed to be taking far too long, IMHO.
Checked the logs, not sure if this is related?
state_read_meta: failed to find available cells in kv cache
state_seq_set_data: error loading state: failed to restore kv cache
s... | 2025-12-09T09:51:16 | https://www.reddit.com/r/LocalLLaMA/comments/1pi3ihz/llamacpp_failed_to_restore_kv_cache/ | Aggressive-Bother470 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi3ihz | false | null | t3_1pi3ihz | /r/LocalLLaMA/comments/1pi3ihz/llamacpp_failed_to_restore_kv_cache/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'I2EjWMENDejf66PqulWNLkqvKKCX1p-vnBFH3ouvfLo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/I2EjWMENDejf66PqulWNLkqvKKCX1p-vnBFH3ouvfLo.png?width=108&crop=smart&auto=webp&s=8081b3d526e5ca4ef311f90b4f77d29532767c83', 'width': 108}, {'height': 108, 'url': 'h... |
ZAI Open Source AutoGLM --A AI Phone Agent | 45 | [https://huggingface.co/zai-org/AutoGLM-Phone-9B](https://huggingface.co/zai-org/AutoGLM-Phone-9B)
[https://github.com/zai-org/Open-AutoGLM](https://github.com/zai-org/Open-AutoGLM)
| 2025-12-09T09:36:03 | https://www.reddit.com/r/LocalLLaMA/comments/1pi3aah/zai_open_source_autoglm_a_ai_phone_agent/ | External_Mood4719 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi3aah | false | null | t3_1pi3aah | /r/LocalLLaMA/comments/1pi3aah/zai_open_source_autoglm_a_ai_phone_agent/ | false | false | self | 45 | {'enabled': False, 'images': [{'id': 'tIl8--WYfLvCwzJZkQadyTT9vRhBteWNjFILBbqkgKE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/tIl8--WYfLvCwzJZkQadyTT9vRhBteWNjFILBbqkgKE.png?width=108&crop=smart&auto=webp&s=eac5310b35addbbb240359a80b51e112df1e5600', 'width': 108}, {'height': 116, 'url': 'h... |
Steep discount on Nvidia GH200 624GB, Grace Hopper Server, 2HE, 144GB HBM3e VRAM. 624GB total memory. Makes the RTX Pro 6000 look bad ;-) | 0 | Special offer only valid till end of the year (12/31/2025). Two Nvidia GH200 624GB servers available for 35k USD per piece (worldwide shipping included).
Specs:
Nvidia Grace-Hopper Superchip
72-core Nvidia Grace CPU
Nvidia Hopper H200 Tensor Core GPU
480GB of LPDDR5X memory with EEC
144GB of HBM3e memory ... | 2025-12-09T09:30:28 | https://www.reddit.com/r/LocalLLaMA/comments/1pi378j/steep_discount_on_nvidia_gh200_624gb_grace_hopper/ | GPTrack-dot-ai | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi378j | false | null | t3_1pi378j | /r/LocalLLaMA/comments/1pi378j/steep_discount_on_nvidia_gh200_624gb_grace_hopper/ | false | false | self | 0 | null |
model: support Rnj-1 by philip-essential · Pull Request #17811 · ggml-org/llama.cpp | 34 | Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models. These models perform well across a range of programming languages and boast strong agentic capabilities (e.g., inside agentic frameworks li... | 2025-12-09T08:24:52 | https://github.com/ggml-org/llama.cpp/pull/17811 | jacek2023 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pi28mq | false | null | t3_1pi28mq | /r/LocalLLaMA/comments/1pi28mq/model_support_rnj1_by_philipessential_pull/ | false | false | default | 34 | {'enabled': False, 'images': [{'id': 'HJud6LLFn4jcoTTYFQN2jlM9S8V73LW3HfXmSX8jM3s', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/HJud6LLFn4jcoTTYFQN2jlM9S8V73LW3HfXmSX8jM3s.png?width=108&crop=smart&auto=webp&s=be2f782a35064c5efc81bc84c06eeb83aa8512ff', 'width': 108}, {'height': 108, 'url': 'h... |
NetraEmbed: A Multilingual Multimodal Embedding Model Built on Gemma3 | 12 | **NetraEmbed** is a state-of-the-art multilingual multimodal embedding mode powered by the Gemma3 backbone.
* **Model Type:** Multilingual Multimodal Embedding Model with Matryoshka embeddings
* **Architecture:** BiEncoder with Gemma3-4B backbone
* **Embedding Dimensions:** 768, 1536, 2560 (Matryoshka)
* **Capabilitie... | 2025-12-09T08:22:54 | https://huggingface.co/Cognitive-Lab/NetraEmbed | Dear-Success-1441 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pi27m1 | false | null | t3_1pi27m1 | /r/LocalLLaMA/comments/1pi27m1/netraembed_a_multilingual_multimodal_embedding/ | false | false | default | 12 | {'enabled': False, 'images': [{'id': 'c86s1yWRqV04VsW41YoYY2zivpL36a7Bta7yaoxkpIk', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/c86s1yWRqV04VsW41YoYY2zivpL36a7Bta7yaoxkpIk.png?width=108&crop=smart&auto=webp&s=5127214761cdccf6e33c2fa0fc1bf33012e76683', 'width': 108}, {'height': 116, 'url': 'h... |
What would you choose: Server AI (taxi) or Local AI (your classic car forever)? | 0 | What do you think?
Would you switch to an AI that truly belongs to you?
Any feedback on the concept or features you’d want?
Thanks for your thoughts! 🙏
\#LocalLLaMA #PrivateAI #OfflineAI #NoSubscription | 2025-12-09T08:07:26 | https://www.reddit.com/r/LocalLLaMA/comments/1pi1zek/what_would_you_choose_server_ai_taxi_or_local_ai/ | Odd_Mobile5854 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi1zek | false | null | t3_1pi1zek | /r/LocalLLaMA/comments/1pi1zek/what_would_you_choose_server_ai_taxi_or_local_ai/ | false | false | self | 0 | null |
Native Parallel Reasoner (NPR): Reasoning in Parallelism via Self-Distilled RL, 4.6x Faster, 100% genuine parallelism, fully open source | 18 | Hi everyone,
I am excited to share our latest research, **Native Parallel Reasoner (NPR)**, which introduces a new paradigm to enable LLMs to perform native, internal parallel reasoning.
We know that sequential, token-by-token reasoning can be slow and sometimes inefficient. NPR changes this by training the model to ... | 2025-12-09T07:56:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pi1tc8/native_parallel_reasoner_npr_reasoning_in/ | Think_Specific_7241 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi1tc8 | false | null | t3_1pi1tc8 | /r/LocalLLaMA/comments/1pi1tc8/native_parallel_reasoner_npr_reasoning_in/ | false | false | self | 18 | null |
Native Parallel Reasoner (NPR): 4.6x Faster Inference via Internal Parallelism & Self-Distilled RL, fully open source | 1 | 2025-12-09T07:52:45 | https://www.reddit.com/gallery/1pi1rlo | Think_Specific_7241 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pi1rlo | false | null | t3_1pi1rlo | /r/LocalLLaMA/comments/1pi1rlo/native_parallel_reasoner_npr_46x_faster_inference/ | false | false | default | 1 | null | |
Native Parallel Reasoner (NPR): 4.6x Faster Inference via Internal Parallelism & Self-Distilled RL, fully open source | 0 | 2025-12-09T07:52:44 | Think_Specific_7241 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pi1rl5 | false | null | t3_1pi1rl5 | /r/LocalLLaMA/comments/1pi1rl5/native_parallel_reasoner_npr_46x_faster_inference/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'atkoyq90w46g1', 'resolutions': [{'height': 155, 'url': 'https://preview.redd.it/atkoyq90w46g1.png?width=108&crop=smart&auto=webp&s=0554213ada98bfcfdb6e7a2cc720fc294aaf93cf', 'width': 108}, {'height': 311, 'url': 'https://preview.redd.it/atkoyq90w46g1.png?width=216&crop=smart&auto=we... | ||
Reasoning LLM idea | 0 | So currently reasoning models generate reasoning in natural language, then that reasoning is fed back into them as input, and it repeats until eventually they give an answer to the user.
So my idea is that rather than outputting a single line of natural language where you can only store so much and run out of context ... | 2025-12-09T07:50:44 | https://www.reddit.com/r/LocalLLaMA/comments/1pi1qmc/reasoning_llm_idea/ | nikishev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi1qmc | false | null | t3_1pi1qmc | /r/LocalLLaMA/comments/1pi1qmc/reasoning_llm_idea/ | false | false | self | 0 | null |
Looking for Right GPU, Rtx 5060 ti 16GB (So many brand)? | 6 | I am using 1050ti which is quite slow and want to upgrade it.
I found Rtx 5060 ti 16GB is under my budget range. But there are many brand and series. Please guide me. I usually don't play game and want to try more on LocalLLM.
||
||
|GIGABYTE GEFORCE RTX 5060 Ti WINDFORCE OC 16GB GDDR7 GPU|
|GIGABYTE GEFORCE RTX 506... | 2025-12-09T07:44:31 | https://www.reddit.com/r/LocalLLaMA/comments/1pi1nca/looking_for_right_gpu_rtx_5060_ti_16gb_so_many/ | rakhinesmn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi1nca | false | null | t3_1pi1nca | /r/LocalLLaMA/comments/1pi1nca/looking_for_right_gpu_rtx_5060_ti_16gb_so_many/ | false | false | self | 6 | null |
Pipeshub just hit 2k GitHub stars. | 5 | We’re super excited to share a milestone that wouldn’t have been possible without this community. **PipesHub just crossed 2,000 GitHub stars!**
Thank you to everyone who tried it out, shared feedback, opened issues, or even just followed the project.
For those who haven’t heard of it yet, **PipesHub** is a fully open... | 2025-12-09T07:41:18 | https://www.reddit.com/r/LocalLLaMA/comments/1pi1lnt/pipeshub_just_hit_2k_github_stars/ | Effective-Ad2060 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pi1lnt | false | null | t3_1pi1lnt | /r/LocalLLaMA/comments/1pi1lnt/pipeshub_just_hit_2k_github_stars/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': 'ketEXXYrtUKPA2y-oIvCFgcWZQoziuQWwwvejkV8xdc', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/ketEXXYrtUKPA2y-oIvCFgcWZQoziuQWwwvejkV8xdc.png?width=108&crop=smart&auto=webp&s=0d6fd2d9375d8a485a2ebdf6b2fb6af53123cceb', 'width': 108}, {'height': 216, 'url': '... |
Is qwen3 4b or a3b better than the first gpt4(2023)? What do you think? | 85 | (I know Artificial Analysis is suck. But is interesting:))
I think now the hype is almost gone, so I have some question.
Benchmark says thier models(even 30b a3b and 4b!) beat gpt4. But what do you think?
Please don't tell me "depends on field". We should compare on overall performance. Because benchmark says it is.
Ca... | 2025-12-09T06:04:27 | __issac | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1phzzrq | false | null | t3_1phzzrq | /r/LocalLLaMA/comments/1phzzrq/is_qwen3_4b_or_a3b_better_than_the_first_gpt42023/ | false | false | default | 85 | {'enabled': True, 'images': [{'id': '5a2im0y2d46g1', 'resolutions': [{'height': 71, 'url': 'https://preview.redd.it/5a2im0y2d46g1.png?width=108&crop=smart&auto=webp&s=15020cbcd877389a0aac0dfb015d5f0b4fe58a80', 'width': 108}, {'height': 142, 'url': 'https://preview.redd.it/5a2im0y2d46g1.png?width=216&crop=smart&auto=web... | |
I built a deterministic AI (Era) that uses Physics instead of LLMs. 99% Fact Accuracy, runs on CPU. Open Sourcing it today. | 1 | [removed] | 2025-12-09T05:50:51 | https://www.reddit.com/r/LocalLLaMA/comments/1phzr3k/i_built_a_deterministic_ai_era_that_uses_physics/ | Left_Object2581 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phzr3k | false | null | t3_1phzr3k | /r/LocalLLaMA/comments/1phzr3k/i_built_a_deterministic_ai_era_that_uses_physics/ | false | false | self | 1 | null |
Support for rnj-1 now in llama.cpp | 13 | 2025-12-09T05:48:15 | https://github.com/ggml-org/llama.cpp/releases/tag/b7328 | Amazing_Athlete_2265 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1phzpfq | false | null | t3_1phzpfq | /r/LocalLLaMA/comments/1phzpfq/support_for_rnj1_now_in_llamacpp/ | false | false | default | 13 | null | |
The Absurdity of the prices of consumer RAM versus ECC RAM | 91 | 2025-12-09T05:21:16 | https://www.reddit.com/gallery/1phz8vy | Substantial_Cut_9418 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1phz8vy | false | null | t3_1phz8vy | /r/LocalLLaMA/comments/1phz8vy/the_absurdity_of_the_prices_of_consumer_ram/ | false | false | 91 | null | ||
cherry studio is amazing | 4 | i started using cherry studio by accident i stopped using everithingllm gpt4all and msty for rag. does anyone use it? it would be time to create a community in English. I would like improved prompt handling.
Thank you | 2025-12-09T05:19:23 | https://www.reddit.com/r/LocalLLaMA/comments/1phz7pi/cherry_studio_is_amazing/ | Bobcotelli | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phz7pi | false | null | t3_1phz7pi | /r/LocalLLaMA/comments/1phz7pi/cherry_studio_is_amazing/ | false | false | self | 4 | null |
Model size reduction imminent | 10 | 2025-12-09T04:59:39 | https://news.ycombinator.com/item?id=46199623 | Purple-Education-171 | news.ycombinator.com | 1970-01-01T00:00:00 | 0 | {} | 1phywff | false | null | t3_1phywff | /r/LocalLLaMA/comments/1phywff/model_size_reduction_imminent/ | false | false | default | 10 | null | |
Call Home - a story in pictures | 0 | 2025-12-09T04:31:17 | https://www.reddit.com/gallery/1phyew9 | aStoryInPictures | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1phyew9 | false | null | t3_1phyew9 | /r/LocalLLaMA/comments/1phyew9/call_home_a_story_in_pictures/ | false | false | 0 | null | ||
Phone Agent -- A mobile intelligent assistant framework built on AutoGLM [Open Source/Model] | 12 | src: [https://github.com/zai-org/Open-AutoGLM/](https://github.com/zai-org/Open-AutoGLM/)
model: [https://huggingface.co/zai-org/AutoGLM-Phone-9B](https://huggingface.co/zai-org/AutoGLM-Phone-9B) | 2025-12-09T04:10:23 | https://www.reddit.com/r/LocalLLaMA/comments/1phy0s8/phone_agent_a_mobile_intelligent_assistant/ | Terrible_Scar_9890 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phy0s8 | false | null | t3_1phy0s8 | /r/LocalLLaMA/comments/1phy0s8/phone_agent_a_mobile_intelligent_assistant/ | false | false | self | 12 | {'enabled': False, 'images': [{'id': 'OgyLYaoWmqDn4UwBWLP6mGRxJifyFPjSuIWTOb_w_QA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/OgyLYaoWmqDn4UwBWLP6mGRxJifyFPjSuIWTOb_w_QA.png?width=108&crop=smart&auto=webp&s=de75392cd86f1d0a79ab49f7f41e8847dd829056', 'width': 108}, {'height': 108, 'url': 'h... |
🦜 VieNeu-TTS is officially COMPLETE! | 8 | Hey everyone! The Vietnamese Text-to-Speech (TTS) model, VieNeu-TTS, is now officially stable and complete after about a month of continuous effort and tuning based on your feedback.
We focused heavily on resolving common issues like choppy pauses and robotic intonation. The results are promising, especially the **Hum... | 2025-12-09T04:04:32 | https://www.reddit.com/r/LocalLLaMA/comments/1phxwnn/vieneutts_is_officially_complete/ | DrCrab97 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phxwnn | false | null | t3_1phxwnn | /r/LocalLLaMA/comments/1phxwnn/vieneutts_is_officially_complete/ | false | false | self | 8 | {'enabled': False, 'images': [{'id': 'fTg890dJ59dT-MRvLbHqNSlKo9IOoCxyqnjg2pxEMPg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/fTg890dJ59dT-MRvLbHqNSlKo9IOoCxyqnjg2pxEMPg.png?width=108&crop=smart&auto=webp&s=764a78b552130211a0cff57d049d45fcff4ed0e6', 'width': 108}, {'height': 116, 'url': 'h... |
Fine-Tune LLMs with Claude Code Using Hugging Face Skills | 4 | With **Hugging Face skill**, you can tell Claude things like:
Fine-tune Qwen3-0.6B on the dataset open-r1/codeforces-cots
and Claude will:
1. Validate your dataset format
2. Select appropriate hardware (t4-small for a 0.6B model)
3. Use and update a training script with Trackio monitoring
4. Submit the job to Hu... | 2025-12-09T03:58:36 | Dear-Success-1441 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1phxs7d | false | null | t3_1phxs7d | /r/LocalLLaMA/comments/1phxs7d/finetune_llms_with_claude_code_using_hugging_face/ | false | false | default | 4 | {'enabled': True, 'images': [{'id': '1s4b0dmep36g1', 'resolutions': [{'height': 104, 'url': 'https://preview.redd.it/1s4b0dmep36g1.jpeg?width=108&crop=smart&auto=webp&s=55efb46ffdf8fdd88087f26c78c8d48452693f65', 'width': 108}, {'height': 209, 'url': 'https://preview.redd.it/1s4b0dmep36g1.jpeg?width=216&crop=smart&auto=... | |
Is there a place with all the hardware setups and inference tok/s data aggregated? | 0 | I'm looking for a site to recommend me hardware setups if I have ~2500$ to spend?
I saw these weekly threads but I'm not sure what's optimal still: https://old.reddit.com/r/LocalLLaMA/comments/1olq14f/megathread_local_ai_hardware_november_2025/
Have a 3070 + 3090, i7 9700k currently. Would like to run the best model ... | 2025-12-09T03:29:58 | https://www.reddit.com/r/LocalLLaMA/comments/1phx7iw/is_there_a_place_with_all_the_hardware_setups_and/ | SlanderMans | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phx7iw | false | null | t3_1phx7iw | /r/LocalLLaMA/comments/1phx7iw/is_there_a_place_with_all_the_hardware_setups_and/ | false | false | self | 0 | null |
Your RAG retrieval isn't broken. Your processing is. | 1 | The same pattern keeps showing up. "Retrieval quality sucks. I've tried BM25, hybrid search, rerankers. Nothing moves the needle."
So people tune. Swap embedding models. Adjust k values. Spend weeks in the retrieval layer.
It usually isn't where the problem lives.
Retrieval finds the chunks most similar to a query a... | 2025-12-09T03:26:12 | https://www.reddit.com/r/LocalLLaMA/comments/1phx4su/your_rag_retrieval_isnt_broken_your_processing_is/ | OnyxProyectoUno | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phx4su | false | null | t3_1phx4su | /r/LocalLLaMA/comments/1phx4su/your_rag_retrieval_isnt_broken_your_processing_is/ | false | false | self | 1 | null |
Best Open Model for Claude Code (or Other Agentic CLI)? | 1 | I've been impressed with Claude Code, powered by Claude models. However, they tend to get noticeably dumber a few weeks after the model release. And honestly, it's burning money if you use it heavily. I tried using GLM4.6 to run Claude Code, and it works. Though not as well as Claude 4, it still provides value. I was e... | 2025-12-09T03:11:28 | https://www.reddit.com/r/LocalLLaMA/comments/1phwtq6/best_open_model_for_claude_code_or_other_agentic/ | hemokwang | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phwtq6 | false | null | t3_1phwtq6 | /r/LocalLLaMA/comments/1phwtq6/best_open_model_for_claude_code_or_other_agentic/ | false | false | self | 1 | null |
Custom chat-bot related help. | 1 | Hi, I am making a chat-bot to automate intraciton with some applicants.
I want help regarding approach and technique to use for able to make the tool-calling thing,
I am using Ollama with some models (testing different models), some modes obey instruction some don't, some produce structured output as expected some no... | 2025-12-09T02:44:15 | https://www.reddit.com/r/LocalLLaMA/comments/1phw8wy/custom_chatbot_related_help/ | AmanBabuHemant | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phw8wy | false | null | t3_1phw8wy | /r/LocalLLaMA/comments/1phw8wy/custom_chatbot_related_help/ | false | false | self | 1 | null |
Issues using llama.cpp with Radeon RX 9070XT/Vulkan | 4 | GPU: AMD Radeon RX 9070 XT
CPU: AMD Ryzen 9 9950X3D
OS: Fedora Linux
I built llama.cpp following the instructions on Github, including the -DGGML\_VULKAN=1 flag. It built without any errors, but when I try to run a model I get a long output that includes this error:
ggml_cuda_compute_forward: RMS_NORM faile... | 2025-12-09T02:37:15 | https://www.reddit.com/r/LocalLLaMA/comments/1phw3hq/issues_using_llamacpp_with_radeon_rx_9070xtvulkan/ | LockedCockOnTheBlock | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phw3hq | false | null | t3_1phw3hq | /r/LocalLLaMA/comments/1phw3hq/issues_using_llamacpp_with_radeon_rx_9070xtvulkan/ | false | false | self | 4 | null |
Super rookie here | 1 | I don't know much about llama, had an Android phone lying around and using termux put llama3.2 3b there but the chatbot says that it's conversation data is not locally stored beyond the current conversation or the one after it
So my question is, does the llm not store all data locally? And if so is therw a way ti reme... | 2025-12-09T02:31:54 | https://www.reddit.com/r/LocalLLaMA/comments/1phvzb8/super_rookie_here/ | MrAHMED42069 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phvzb8 | false | null | t3_1phvzb8 | /r/LocalLLaMA/comments/1phvzb8/super_rookie_here/ | false | false | self | 1 | null |
Local low cost rig upgrade | 0 | So now I have a b550 gaming x v2 paired with the following parts:
\- ryzen 5600x
\- 128gb ddr4 ripjaws v 2666mhz (overclocked to 3200)
\- 5070ti (16gb vram)
and I can upgrade for 370 for asus rog Crosshair vIII Formula + 5950, could I try with some pcie riser cable and try to fix it somewhere with some 4060 ti w... | 2025-12-09T02:12:46 | https://www.reddit.com/r/LocalLLaMA/comments/1phvkdj/local_low_cost_rig_upgrade/ | thatusernsmeis | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phvkdj | false | null | t3_1phvkdj | /r/LocalLLaMA/comments/1phvkdj/local_low_cost_rig_upgrade/ | false | false | self | 0 | null |
A Zettabyte Scale Answer to the DRAM Shortage | 8 | Or, why hyperscalers aren't ditching their old DDR4 modules.
The last month or so have seen memory prices skyrocket, including DDR4. A lot of people have been commenting it's panic buying. Here's why it isn't.
Xeon 6 (Granite Rapids) supports CXL 2.0, which is the version of CXL that makes CXL memory a viable option ... | 2025-12-09T01:56:11 | https://youtu.be/Sw3tgTipUy8 | FullstackSensei | youtu.be | 1970-01-01T00:00:00 | 0 | {} | 1phv7pt | false | {'oembed': {'author_name': 'ServeTheHome', 'author_url': 'https://www.youtube.com/@ServeTheHomeVideo', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/Sw3tgTipUy8?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; g... | t3_1phv7pt | /r/LocalLLaMA/comments/1phv7pt/a_zettabyte_scale_answer_to_the_dram_shortage/ | false | false | default | 8 | {'enabled': False, 'images': [{'id': 'tSYQD2b6BYPK8CPkRFqPqRb4J_td7AC5BGC0SnMuxGg', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/tSYQD2b6BYPK8CPkRFqPqRb4J_td7AC5BGC0SnMuxGg.jpeg?width=108&crop=smart&auto=webp&s=bb1adb8d5b2c8129cc68134d71fc9fc96c0f81e3', 'width': 108}, {'height': 162, 'url': '... |
GLM-4.6V has day zero support on MLX-VLM | 6 | 2025-12-09T01:48:31 | https://www.reddit.com/r/LocalLLaMA/comments/1phv1s6/glm46v_has_day_zero_support_on_mlxvlm/ | Terrible_Scar_9890 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phv1s6 | false | null | t3_1phv1s6 | /r/LocalLLaMA/comments/1phv1s6/glm46v_has_day_zero_support_on_mlxvlm/ | false | false | 6 | null | ||
Large update: 12 new frontier models added to the Step Game social reasoning benchmark. | 21 | In this benchmark, 3 players race to the finish line. Each turn they talk, then secretly pick 1, 3, or 5 steps. If 2+ players pick the same number, nobody moves. To win, a model has to reason about others under uncertainty, not just optimize in isolation. More info: [https://github.com/lechmazur/step\_game](https://git... | 2025-12-09T01:39:45 | https://www.reddit.com/gallery/1phuuuj | zero0_one1 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1phuuuj | false | null | t3_1phuuuj | /r/LocalLLaMA/comments/1phuuuj/large_update_12_new_frontier_models_added_to_the/ | false | false | 21 | null | |
Get Started With your AI journey for cheap | 0 | 1 year Coursera plus 22.99€(official price 399$)
1 year EDX PLUS 22.99€ (OFFICIAL PRICE 300$)
1 year Devin Ai core 55€(official price 1300$) Come with 600+ Acu additional acu also available
1 Month ChatGPT plus 3€/seat or 5 team panel 10€(official price 26€/seat)
1 Year Lovable Pro 55€ (Official Price 260€)
1 Year... | 2025-12-09T01:39:28 | https://www.reddit.com/r/LocalLLaMA/comments/1phuum1/get_started_with_your_ai_journey_for_cheap/ | DraftAnnual9619 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phuum1 | false | null | t3_1phuum1 | /r/LocalLLaMA/comments/1phuum1/get_started_with_your_ai_journey_for_cheap/ | false | false | self | 0 | null |
Check on lil bro | 984 | 2025-12-09T01:25:42 | k_means_clusterfuck | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1phujwo | false | null | t3_1phujwo | /r/LocalLLaMA/comments/1phujwo/check_on_lil_bro/ | false | false | default | 984 | {'enabled': True, 'images': [{'id': 's8rfm29bz26g1', 'resolutions': [{'height': 120, 'url': 'https://preview.redd.it/s8rfm29bz26g1.png?width=108&crop=smart&auto=webp&s=1f268afd19a77195a6835e93f471c3216173984e', 'width': 108}, {'height': 240, 'url': 'https://preview.redd.it/s8rfm29bz26g1.png?width=216&crop=smart&auto=we... | ||
FYI, looks like Tesla P40s are back down in price! | 49 | Just posting so y'all are aware. I previously grabbed a P40 for 165, and I see them going for 190 on eBay now. I would say the price is reasonable and the card is still well supported in Llama.cpp.
The Mi60 32gb has been price inflated. So I would avoid that.
With the dram prices going sky high, getting a few... | 2025-12-09T00:58:16 | https://www.reddit.com/r/LocalLLaMA/comments/1phtydt/fyi_looks_like_tesla_p40s_are_back_down_in_price/ | My_Unbiased_Opinion | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phtydt | false | null | t3_1phtydt | /r/LocalLLaMA/comments/1phtydt/fyi_looks_like_tesla_p40s_are_back_down_in_price/ | false | false | self | 49 | null |
What datasets do you want the most? | 6 | I hear lots of ambitious ideas for tasks to teach models, but it seems like the biggest obstacle is the datasets | 2025-12-09T00:38:15 | https://www.reddit.com/r/LocalLLaMA/comments/1phti3w/what_datasets_do_you_want_the_most/ | Express_Seesaw_8418 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phti3w | false | null | t3_1phti3w | /r/LocalLLaMA/comments/1phti3w/what_datasets_do_you_want_the_most/ | false | false | self | 6 | null |
SPICE: Self-Play In Corpus Environments Improves Reasoning | 3 | 2025-12-09T00:21:20 | https://arxiv.org/abs/2510.24684 | abdouhlili | arxiv.org | 1970-01-01T00:00:00 | 0 | {} | 1pht4fm | false | null | t3_1pht4fm | /r/LocalLLaMA/comments/1pht4fm/spice_selfplay_in_corpus_environments_improves/ | false | false | default | 3 | null | |
The Universal Weight Subspace Hypothesis | 51 | *We show that deep neural networks trained across diverse tasks exhibit remarkably similar low-dimensional parametric subspaces. We provide the first large-scale empirical evidence that demonstrates that neural networks systematically converge to shared spectral subspaces regardless of initialization, task, or domain. ... | 2025-12-09T00:14:11 | https://arxiv.org/abs/2512.05117 | Thrumpwart | arxiv.org | 1970-01-01T00:00:00 | 0 | {} | 1phsyag | false | null | t3_1phsyag | /r/LocalLLaMA/comments/1phsyag/the_universal_weight_subspace_hypothesis/ | false | false | default | 51 | null |
Deepseek v3.2 vs GLM 4.6 vs Minimax M2 for agentic coding use | 115 | As of recent swe-bench evaluations, this is where top open weight models stand regarding real-world agentic coding use. My personal experience, though, is different.
Benchmarks are very crude approximations of a models ability to perform in specific use cases (i.e. solving real-world GitHub issues for top Python repos... | 2025-12-09T00:04:35 | 0xmaxhax | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1phsqix | false | null | t3_1phsqix | /r/LocalLLaMA/comments/1phsqix/deepseek_v32_vs_glm_46_vs_minimax_m2_for_agentic/ | false | false | default | 115 | {'enabled': True, 'images': [{'id': 's0wx32rvk26g1', 'resolutions': [{'height': 124, 'url': 'https://preview.redd.it/s0wx32rvk26g1.jpeg?width=108&crop=smart&auto=webp&s=e18509b050ef13c7f3739afee0ed838782862d8e', 'width': 108}, {'height': 249, 'url': 'https://preview.redd.it/s0wx32rvk26g1.jpeg?width=216&crop=smart&auto=... | |
Gameplay-Vision-LLM (open-source): long-horizon gameplay video understanding + causal reasoning — can you review it and rate it 1–10? | 12 | hey everyone 👋
i’ve been building an open-source AI project for \*\*long-horizon gameplay video understanding\*\* (the stuff that breaks most VLMs once the video gets long). goal is to take longer gameplay, keep the important moments, and answer questions that need \*\*temporal + causal reasoning\*\* (not just “wha... | 2025-12-08T23:58:13 | https://www.reddit.com/r/LocalLLaMA/comments/1phskxb/gameplayvisionllm_opensource_longhorizon_gameplay/ | Early_Border8562 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phskxb | false | null | t3_1phskxb | /r/LocalLLaMA/comments/1phskxb/gameplayvisionllm_opensource_longhorizon_gameplay/ | false | false | self | 12 | {'enabled': False, 'images': [{'id': 'if1ok8Kt2OW-m47sOUwIwZgU3k5-CM5RdQEDMgy0e4g', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/if1ok8Kt2OW-m47sOUwIwZgU3k5-CM5RdQEDMgy0e4g.png?width=108&crop=smart&auto=webp&s=a00b5993dace4553e0a9f319a96193048252640c', 'width': 108}, {'height': 108, 'url': 'h... |
What is your "Definition of Production Ready" for an agentic workflow? | 7 | I’m a jr engineer working in a F500 company (you’ve heard of but not FAANG) building agent workflows. I’m curious how other teams are handling the QA & release process for Agentic workflows. In standard engineering, we have unit tests and CI/CD that give us a green light. With agents, the non-determinism makes that fee... | 2025-12-08T23:58:00 | https://www.reddit.com/r/LocalLLaMA/comments/1phskqr/what_is_your_definition_of_production_ready_for/ | ggaowp | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phskqr | false | null | t3_1phskqr | /r/LocalLLaMA/comments/1phskqr/what_is_your_definition_of_production_ready_for/ | false | false | self | 7 | null |
Deepseek v3.2 vs GLM 4.6 vs Minimax M2 for agentic coding use | 0 | As of recent swe-bench evaluations, this is where top open weight models stand regarding real-world agentic coding use. My personal experience, though, is different.
Benchmarks are very crude approximations of a models ability to perform in specific use cases (i.e. solving real-world GitHub issues for top Python repos... | 2025-12-08T23:57:24 | 0xmaxhax | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1phskab | false | null | t3_1phskab | /r/LocalLLaMA/comments/1phskab/deepseek_v32_vs_glm_46_vs_minimax_m2_for_agentic/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '906x5hmlj26g1', 'resolutions': [{'height': 134, 'url': 'https://preview.redd.it/906x5hmlj26g1.jpeg?width=108&crop=smart&auto=webp&s=33e888a5e4e5a5e3da291f2614d01a96665e6135', 'width': 108}, {'height': 269, 'url': 'https://preview.redd.it/906x5hmlj26g1.jpeg?width=216&crop=smart&auto=... | |
What do you think about this privacy-first, local alternative to Grammarly / LanguageTool? | 1 | Hey folks! I've discovered a new local AI based Grammarly alternative that is comparable to standard solutions in terms of output quality and user experience: [https://chromewebstore.google.com/detail/proofly-%E2%80%93-private-ai-writ/oiaicmknhbpnhngdeppegnhobnleeolm](https://chromewebstore.google.com/detail/proofly-%E... | 2025-12-08T23:32:23 | https://www.reddit.com/r/LocalLLaMA/comments/1phrzl0/what_do_you_think_about_this_privacyfirst_local/ | Antekeli | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phrzl0 | false | null | t3_1phrzl0 | /r/LocalLLaMA/comments/1phrzl0/what_do_you_think_about_this_privacyfirst_local/ | false | false | self | 1 | null |
What would be the absolute best coding/dev LLM I can run on my system? | 1 | Hello all!
I've recently been getting into LLM's with GPT 5.1 being my only paid model- but I want to venture into the wilds of running a local model.
I'm not super deep into the knowledge of LLMs, but I've managed to get the basics of LM studio running on my main system and my mac.
My current 2 systems are as foll... | 2025-12-08T22:54:47 | https://www.reddit.com/r/LocalLLaMA/comments/1phr3oy/what_would_be_the_absolute_best_codingdev_llm_i/ | iZestyYT | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phr3oy | false | null | t3_1phr3oy | /r/LocalLLaMA/comments/1phr3oy/what_would_be_the_absolute_best_codingdev_llm_i/ | false | false | self | 1 | null |
GLM-4.6V AWQ is released | 80 | [cyankiwi/GLM-4.6V-AWQ-4bit](https://huggingface.co/cyankiwi/GLM-4.6V-AWQ-4bit)
[cyankiwi/GLM-4.6V-AWQ-8bit](https://huggingface.co/cyankiwi/GLM-4.6V-AWQ-8bit)
[cyankiwi/GLM-4.6V-Flash-AWQ-4bit](https://huggingface.co/cyankiwi/GLM-4.6V-Flash-AWQ-4bit)
[cyankiwi/GLM-4.6V-Flash-AWQ-8bit](https://huggingface.co/cyankiw... | 2025-12-08T21:28:37 | https://www.reddit.com/r/LocalLLaMA/comments/1phox68/glm46v_awq_is_released/ | YellowTree11 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phox68 | false | null | t3_1phox68 | /r/LocalLLaMA/comments/1phox68/glm46v_awq_is_released/ | false | false | self | 80 | {'enabled': False, 'images': [{'id': 'ei1dwKoG__Ps3-rfCTP5e_xMsBWZd6d12FGJTsU01ao', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/ei1dwKoG__Ps3-rfCTP5e_xMsBWZd6d12FGJTsU01ao.png?width=108&crop=smart&auto=webp&s=ed48f913e6d082082cfad034ae7cfa627952f80b', 'width': 108}, {'height': 116, 'url': 'h... |
Can I run a quantized 7B model on a cpu only vps? | 27 | I know this sounds dumb, but I want to run a tiny un censored LLM via Ollama just for an API endpoint for a personal project. I cant afford a gpu instance.
I saw virtarix offers decent ram per dollar. If I use a GGUF format model (Q4\_K\_M) can the AMD Epyc cores handle the inference at a usable speed (maybe 2-3 token... | 2025-12-08T21:10:24 | https://www.reddit.com/r/LocalLLaMA/comments/1phog7k/can_i_run_a_quantized_7b_model_on_a_cpu_only_vps/ | Interesting_Log_6108 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phog7k | false | null | t3_1phog7k | /r/LocalLLaMA/comments/1phog7k/can_i_run_a_quantized_7b_model_on_a_cpu_only_vps/ | false | false | self | 27 | null |
Thoughts? | 1,164 | Interesting take | 2025-12-08T20:25:29 | Salt_Armadillo8884 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1phn925 | false | null | t3_1phn925 | /r/LocalLLaMA/comments/1phn925/thoughts/ | false | false | default | 1,164 | {'enabled': True, 'images': [{'id': 'j6fp9xhsh16g1', 'resolutions': [{'height': 116, 'url': 'https://preview.redd.it/j6fp9xhsh16g1.jpeg?width=108&crop=smart&auto=webp&s=4c52f60d6b7f57641c2b8121a604d43dc9120be7', 'width': 108}, {'height': 233, 'url': 'https://preview.redd.it/j6fp9xhsh16g1.jpeg?width=216&crop=smart&auto=... | |
Upcoming models from llama.cpp support queue (This month or Jan possibly) | 56 | Added only PR items with enough progress.
* [EssentialAI/Rnj-1](https://github.com/ggml-org/llama.cpp/pull/17811) (Stats look better for its size)
* [moonshotai/Kimi-Linear-48B-A3B](https://github.com/ggml-org/llama.cpp/pull/17592) (Q4 of Qwen3-Next gave me 10+ t/s on my 8GB VRAM + 32GB RAM so this one could be better... | 2025-12-08T20:09:02 | https://www.reddit.com/r/LocalLLaMA/comments/1phmt95/upcoming_models_from_llamacpp_support_queue_this/ | pmttyji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phmt95 | false | null | t3_1phmt95 | /r/LocalLLaMA/comments/1phmt95/upcoming_models_from_llamacpp_support_queue_this/ | false | false | self | 56 | {'enabled': False, 'images': [{'id': 'ccYZItQmo-NHC3uBXlmNrOrCDm9B_K11CgBJIKGnRB0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/ccYZItQmo-NHC3uBXlmNrOrCDm9B_K11CgBJIKGnRB0.png?width=108&crop=smart&auto=webp&s=07621479c3809501f8e568c7e7fb4646eaf9cf1b', 'width': 108}, {'height': 108, 'url': 'h... |
I forked Qodo's PR-Agent to make it work with Ollama. | 4 | I liked \[Qodo\](https://github.com/qodo-ai/pr-agent)'s idea of having my pull requests automatically described and reviewed by an LLM but I didn't like that it basically is hardwired to work with OpenAI.
Here's the link: \[github\](https://github.com/TobEnd/pr-agent) or \[codeberg.org\](https://codeberg.org/TobJEnd/L... | 2025-12-08T20:08:19 | https://www.reddit.com/r/LocalLLaMA/comments/1phmsma/i_forked_qodos_pragent_to_make_it_work_with_ollama/ | corentic_eu | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phmsma | false | null | t3_1phmsma | /r/LocalLLaMA/comments/1phmsma/i_forked_qodos_pragent_to_make_it_work_with_ollama/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'xU4X2KpP-3sjddXiLidVQ55YaFo4kT60GtwKYEtagsY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/xU4X2KpP-3sjddXiLidVQ55YaFo4kT60GtwKYEtagsY.png?width=108&crop=smart&auto=webp&s=298b7cf7425a2c9ef3764b291414ef0f67d30b0f', 'width': 108}, {'height': 108, 'url': 'h... |
Fine-tuning for Lean | 3 | I'm interested to know I might be able to finetune a model for Lean mathematical proofs in the style of the Aristotle model made by Harmonic Ai.
I'm not sure if an LLM could even be finetuned to respond in Lean of if it would need to be trained from scratch on pure lean and "think in lean" in order to respond in Lean.... | 2025-12-08T20:06:50 | https://www.reddit.com/r/LocalLLaMA/comments/1phmr7f/finetuning_for_lean/ | ThePrimeClock | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1phmr7f | false | null | t3_1phmr7f | /r/LocalLLaMA/comments/1phmr7f/finetuning_for_lean/ | false | false | self | 3 | null |
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