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78 stars in github but 0 feedback, how to improve my local AI application ? | 0 | Here is the situation :
I open sourced my desktop application ( local AI ) about a week ago. The community response has been wild: 76 stars and 200+ clones in the first week. To everyone who starred the repo: Thank you. It genuinely motivates me to keep going and made me very happy.
At first, I knew that they were so... | 2025-12-26T17:42:16 | Suspicious-Juice3897 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pwa3zu | false | null | t3_1pwa3zu | /r/LocalLLaMA/comments/1pwa3zu/78_stars_in_github_but_0_feedback_how_to_improve/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': '04jv4v805l9g1', 'resolutions': [{'height': 102, 'url': 'https://preview.redd.it/04jv4v805l9g1.png?width=108&crop=smart&auto=webp&s=b1faacd82e320208faf6f0e415be8a1e4c6a2b48', 'width': 108}, {'height': 205, 'url': 'https://preview.redd.it/04jv4v805l9g1.png?width=216&crop=smart&auto=we... | |
Structured context beats embeddings for large codebases (especially with local models) | 0 | When running LLMs locally, I keep hitting the same wall with code-focused RAG setups.
Once a repository gets large, the usual pipeline breaks down:
* heuristic chunking
* embeddings over files
* retrieve N chunks and hope for the best
This wastes tokens and loses structure. With smaller context windows, the failure ... | 2025-12-26T17:42:12 | https://www.reddit.com/r/LocalLLaMA/comments/1pwa3y0/structured_context_beats_embeddings_for_large/ | aphoristicartist | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pwa3y0 | false | null | t3_1pwa3y0 | /r/LocalLLaMA/comments/1pwa3y0/structured_context_beats_embeddings_for_large/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'pFEGwcpk084pg3OxbolGVc0-vcIF0WcOv4OD7S9lTcE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/pFEGwcpk084pg3OxbolGVc0-vcIF0WcOv4OD7S9lTcE.png?width=108&crop=smart&auto=webp&s=6553ac0ce22ede8ea8842aa526f285c2720f3be5', 'width': 108}, {'height': 108, 'url': 'h... |
I built an emotionally aware multi-agent system with autobiographical memory running locally on gpt-oss:20b | 0 | 2025-12-26T17:28:20 | http://github.com/0penAGI/oss | PsychologyLevel1128 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pw9rmo | false | null | t3_1pw9rmo | /r/LocalLLaMA/comments/1pw9rmo/i_built_an_emotionally_aware_multiagent_system/ | false | false | default | 0 | null | |
[Model Release] Genesis-152M-Instruct, exploring hybrid attention + TTT at small scale | 49 | Hey everyone 👋
I’m sharing **Genesis-152M-Instruct**, an **experimental small language model** built to explore how *recent architectural ideas interact* when combined in a single model — especially under **tight data constraints**.
This is **research-oriented**, not a production model or SOTA claim.
🔍 **Why... | 2025-12-26T17:23:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pw9n74/model_release_genesis152minstruct_exploring/ | Kassanar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw9n74 | false | null | t3_1pw9n74 | /r/LocalLLaMA/comments/1pw9n74/model_release_genesis152minstruct_exploring/ | false | false | self | 49 | {'enabled': False, 'images': [{'id': 'LX9VCEgtwMlOc5P83Ms22Em67QDUU-IVfLuWWsNC4eY', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/LX9VCEgtwMlOc5P83Ms22Em67QDUU-IVfLuWWsNC4eY.png?width=108&crop=smart&auto=webp&s=db4d1f2d3e68104c489856a00250f87a89dfbf95', 'width': 108}, {'height': 116, 'url': 'h... |
JL Engine: Modular Positronic Persona Orchestrator | 0 | 2025-12-26T17:16:29 | https://www.reddit.com/r/LocalLLaMA/comments/1pw9hac/jl_engine_modular_positronic_persona_orchestrator/ | Upbeat_Reporter8244 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw9hac | false | null | t3_1pw9hac | /r/LocalLLaMA/comments/1pw9hac/jl_engine_modular_positronic_persona_orchestrator/ | false | false | 0 | null | ||
Model running super slow on Mac Air M3 | 0 | Just for a hello, it took 24.7 seconds - what would be the reason for it to take so long? I don't have many apps open. | 2025-12-26T17:07:36 | ozcapy | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pw99iw | false | null | t3_1pw99iw | /r/LocalLLaMA/comments/1pw99iw/model_running_super_slow_on_mac_air_m3/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'b3b4so6ryk9g1', 'resolutions': [{'height': 84, 'url': 'https://preview.redd.it/b3b4so6ryk9g1.png?width=108&crop=smart&auto=webp&s=73ddf40da44a90ac76e512a128198ee9ded91816', 'width': 108}, {'height': 169, 'url': 'https://preview.redd.it/b3b4so6ryk9g1.png?width=216&crop=smart&auto=web... | |
I built a self-healing AI CLI that retries failed commands and works fully offline (v6.0) | 0 | Hi everyone,
I just released **ZAI Shell v6.0**, an AI-powered command-line assistant focused on one problem I kept hitting with CLI agents:
👉 *When a command fails, they usually get stuck or ask the user what to do.*
So I built a **self-healing retry pipeline** instead.
**Repo:**
👉 [https://github.com/TaklaXBR... | 2025-12-26T17:02:57 | https://www.reddit.com/r/LocalLLaMA/comments/1pw95mq/i_built_a_selfhealing_ai_cli_that_retries_failed/ | Exact_Section_556 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw95mq | false | null | t3_1pw95mq | /r/LocalLLaMA/comments/1pw95mq/i_built_a_selfhealing_ai_cli_that_retries_failed/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'HvzimrzJcUnyueMMVj2nSmGHqSjZXoRJidVZDgyEO-k', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/HvzimrzJcUnyueMMVj2nSmGHqSjZXoRJidVZDgyEO-k.png?width=108&crop=smart&auto=webp&s=f41a149a868cfca1040d202cac03c0b9b01d8e00', 'width': 108}, {'height': 108, 'url': 'h... |
How do you deploy open source reranker in production? | 2 | How do you deploy open source reranker in production?
I want to deploy the open source reranker on production, any framework being used ?? | 2025-12-26T16:57:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pw90e9/how_do_you_deploy_open_source_reranker_in/ | ExchangePersonal1384 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw90e9 | false | null | t3_1pw90e9 | /r/LocalLLaMA/comments/1pw90e9/how_do_you_deploy_open_source_reranker_in/ | false | false | self | 2 | null |
Nvidia acquired Groq, but why not Cerebras? Cerebras is 3x times faster than Groq, while maximum 1.5x the price. Anyone can explain? | 243 | Anyone with technical knowledge can explain why they chose Groq over Cerebras? Really interested in this. Because Cerebras is even waaay faster than Groq. Cerebras seems like a bigger threat to Nvidia than Groq... | 2025-12-26T16:42:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pw8nfk/nvidia_acquired_groq_but_why_not_cerebras/ | Conscious_Warrior | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw8nfk | false | null | t3_1pw8nfk | /r/LocalLLaMA/comments/1pw8nfk/nvidia_acquired_groq_but_why_not_cerebras/ | false | false | self | 243 | null |
GLM-4.7-6bit MLX vs MiniMax-M2.1-6bit MLX Benchmark Results on M3 Ultra 512GB | 93 | i find the benchmark result from twitter, which is very interesting.
>Hardware: Apple M3 Ultra, 512GB
* GLM-4.7-6bit MLX Benchmark Results with different context
0.5k Prompt: 98 - Gen: 16 t/s - 287.6GB
1k Prompt: 140 - Gen: 17 t/s - 288.0GB
2k Prompt: 206 - Gen: 16 t/s - 288.8GB
4k Prompt: 219 - Gen: 16 t/s - ... | 2025-12-26T16:35:28 | https://www.reddit.com/r/LocalLLaMA/comments/1pw8h6w/glm476bit_mlx_vs_minimaxm216bit_mlx_benchmark/ | uptonking | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw8h6w | false | null | t3_1pw8h6w | /r/LocalLLaMA/comments/1pw8h6w/glm476bit_mlx_vs_minimaxm216bit_mlx_benchmark/ | false | false | self | 93 | null |
I’ve developed a script to quickly deploy an Ollama stack | 0 | Hi everyone,
I’d like to share a script I created to deploy a fully functional, self-hosted, and locally secure AI interface, It automates the entire setup so you don’t have to tinker with each component individually.
I originally built it for me and my friends, because configuring nginx, OpenWebUI, Ollama, certifica... | 2025-12-26T16:33:54 | https://www.reddit.com/r/LocalLLaMA/comments/1pw8fwe/ive_developed_a_script_to_quickly_deploy_an/ | k0rben_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw8fwe | false | null | t3_1pw8fwe | /r/LocalLLaMA/comments/1pw8fwe/ive_developed_a_script_to_quickly_deploy_an/ | false | false | self | 0 | null |
Will ARC-AGI type tasks be affected by if the json is formatted like a grid or just a long string? | 1 | I did some testing runs with multiple models on some tasks I created similar to ARC 2, and I kept the strings, at least in the prompt window, looking like grids. I thought though that this could accidentally give models a large advantage... Do I have to rerun it or does it not matter? | 2025-12-26T16:25:42 | https://www.reddit.com/r/LocalLLaMA/comments/1pw88pf/will_arcagi_type_tasks_be_affected_by_if_the_json/ | Longjumping_Spot5843 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw88pf | false | null | t3_1pw88pf | /r/LocalLLaMA/comments/1pw88pf/will_arcagi_type_tasks_be_affected_by_if_the_json/ | false | false | self | 1 | null |
Why is Nemotron 3 acting so insecure? | 10 | 2025-12-26T16:24:25 | Ertowghan | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pw87le | false | null | t3_1pw87le | /r/LocalLLaMA/comments/1pw87le/why_is_nemotron_3_acting_so_insecure/ | false | false | default | 10 | {'enabled': True, 'images': [{'id': 'dwu4sle0rk9g1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/dwu4sle0rk9g1.png?width=108&crop=smart&auto=webp&s=275826d1cb14559c82ebc8610f8a525b672604fe', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/dwu4sle0rk9g1.png?width=216&crop=smart&auto=we... | ||
KTransformers supports MiniMax M2.1 - 2x5090 + 768GB DRAM yeilds prefill 4000 tps, decode 33 tps. | 29 | We are excited to announce support for **MiniMax M2.1** in its original FP8 format (no quantization).
We tested this setup on a high-end local build to see how far we could push the bandwidth.
**The Setup:**
* **GPU:** 2x RTX 5090
* **System RAM:** 768GB DRAM
* **Precision:** Native FP8
**Performance:**
* **Prefil... | 2025-12-26T15:52:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pw7g4e/ktransformers_supports_minimax_m21_2x5090_768gb/ | CombinationNo780 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw7g4e | false | null | t3_1pw7g4e | /r/LocalLLaMA/comments/1pw7g4e/ktransformers_supports_minimax_m21_2x5090_768gb/ | false | false | 29 | null | |
KTransformers supports MiniMax M2.1: 2x5090 + 768GB DRAM yeilds prefill 4000 tps, decode 33 tps. | 1 | [removed] | 2025-12-26T15:51:35 | https://www.reddit.com/r/LocalLLaMA/comments/1pw7f7v/ktransformers_supports_minimax_m21_2x5090_768gb/ | CombinationNo780 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw7f7v | false | null | t3_1pw7f7v | /r/LocalLLaMA/comments/1pw7f7v/ktransformers_supports_minimax_m21_2x5090_768gb/ | false | false | 1 | null | |
KTransformers day-0 supports MiniMax M2.1: 2x5090 + 768GB DRAM yeilds prefill 4000 tps, decode 33 tps. | 1 | [removed] | 2025-12-26T15:48:10 | https://www.reddit.com/r/LocalLLaMA/comments/1pw7ccp/ktransformers_day0_supports_minimax_m21_2x5090/ | CombinationNo780 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw7ccp | false | null | t3_1pw7ccp | /r/LocalLLaMA/comments/1pw7ccp/ktransformers_day0_supports_minimax_m21_2x5090/ | false | false | self | 1 | null |
KTransformers day-0 supports MiniMax M2.1 - 2x5090 + 768GB DRAM yeilds prefill 4000 tps, decode 33 tps. | 1 | [removed] | 2025-12-26T15:47:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pw7bkn/ktransformers_day0_supports_minimax_m21_2x5090/ | CombinationNo780 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw7bkn | false | null | t3_1pw7bkn | /r/LocalLLaMA/comments/1pw7bkn/ktransformers_day0_supports_minimax_m21_2x5090/ | false | false | self | 1 | null |
KTransformers now supports Minimax M2.1 (4000 TPS Prefill) | 1 | [removed] | 2025-12-26T15:46:20 | https://www.reddit.com/r/LocalLLaMA/comments/1pw7as8/ktransformers_now_supports_minimax_m21_4000_tps/ | CombinationNo780 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw7as8 | false | null | t3_1pw7as8 | /r/LocalLLaMA/comments/1pw7as8/ktransformers_now_supports_minimax_m21_4000_tps/ | false | false | self | 1 | null |
KTransformers day-0 supports MiniMax M2.1: 2x5090 + 768GB DRAM yeilds prefill 4000 tps, decode 33 tps. | 1 | [removed] | 2025-12-26T15:42:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pw77qa/ktransformers_day0_supports_minimax_m21_2x5090/ | CombinationNo780 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw77qa | false | null | t3_1pw77qa | /r/LocalLLaMA/comments/1pw77qa/ktransformers_day0_supports_minimax_m21_2x5090/ | false | false | 1 | null | |
training a LLM with data from a textbook (School text). How do I know it worked?? | 2 | HI folks:
This is kinda a follow on discussion to this excellent thread:
[https://www.reddit.com/r/LocalLLaMA/comments/15rzcat/can\_i\_train\_llama\_with\_my\_own\_pdf\_documents/?utm\_source=share&utm\_medium=web3x&utm\_name=web3xcss&utm\_term=1&utm\_content=share\_button](https://www.reddit.com/r/LocalLLaMA/commen... | 2025-12-26T15:39:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pw756x/training_a_llm_with_data_from_a_textbook_school/ | slrg1968 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw756x | false | null | t3_1pw756x | /r/LocalLLaMA/comments/1pw756x/training_a_llm_with_data_from_a_textbook_school/ | false | false | self | 2 | null |
GIN: A Cognitive Architecture for Persistent, Entropy-Governed Autonomous Agents (Not a New Model) | 0 | Hi everyone,
I’m sharing a research proposal called **GIN — Generative Intelligence Network**.
This is **not a new foundation model** and not a prompt trick.
It’s a **system-level cognitive architecture** for building autonomous agents that can *persist*, *hesitate*, *simulate futures*, and *know when not to act*.... | 2025-12-26T15:34:46 | https://www.reddit.com/r/LocalLLaMA/comments/1pw70yo/gin_a_cognitive_architecture_for_persistent/ | BigCharge9079 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw70yo | false | null | t3_1pw70yo | /r/LocalLLaMA/comments/1pw70yo/gin_a_cognitive_architecture_for_persistent/ | false | false | self | 0 | null |
MiniMax-M2.1 GGUF is here! | 119 | Hey folks,
I might've skipped going to bed for this one: [https://huggingface.co/AaryanK/MiniMax-M2.1-GGUF](https://huggingface.co/AaryanK/MiniMax-M2.1-GGUF)
From my runs:
model: MiniMax-M2.1.q2\_k.gguf
GPU: NVIDIA A100-SXM4-80GB
n\_gpu\_layers: 55
context\_size: 32768
temperature: 0.7
top\_p: 0.9
top\... | 2025-12-26T15:33:38 | https://huggingface.co/AaryanK/MiniMax-M2.1-GGUF | KvAk_AKPlaysYT | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1pw701k | false | null | t3_1pw701k | /r/LocalLLaMA/comments/1pw701k/minimaxm21_gguf_is_here/ | false | false | default | 119 | {'enabled': False, 'images': [{'id': '0xe3vYLHuf2Mb8WiNbMmuRGbcT2eNARsH6mkzOnOBgQ', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/0xe3vYLHuf2Mb8WiNbMmuRGbcT2eNARsH6mkzOnOBgQ.png?width=108&crop=smart&auto=webp&s=60d8279ccaf3d9728a063ad568a00bbb421c3624', 'width': 108}, {'height': 116, 'url': 'h... |
Running a Local LLM for Development: Minimum Hardware, CPU vs GPU, and Best Models? | 11 | Hi, I’m new to this sub.
I’m considering running a local LLM. I’m a developer, and it’s pretty common for me to hit free-tier limits on hosted AIs, even with relatively basic interactions.
Right now, I only have a work laptop, and I’m fully aware that running a local LLM on it might be more a problem than just using ... | 2025-12-26T15:22:46 | https://www.reddit.com/r/LocalLLaMA/comments/1pw6qvw/running_a_local_llm_for_development_minimum/ | Nervous-Blacksmith-3 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw6qvw | false | null | t3_1pw6qvw | /r/LocalLLaMA/comments/1pw6qvw/running_a_local_llm_for_development_minimum/ | false | false | self | 11 | null |
KTransformers day-0 supports MiniMax M2.1 in fp8 format! 2x5090 + 768GB DRAM yeilds prefill 4000 tps, decode 33 tps. | 1 | [removed] | 2025-12-26T15:20:35 | https://www.reddit.com/r/LocalLLaMA/comments/1pw6p1o/ktransformers_day0_supports_minimax_m21_in_fp8/ | ErvinXie | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw6p1o | false | null | t3_1pw6p1o | /r/LocalLLaMA/comments/1pw6p1o/ktransformers_day0_supports_minimax_m21_in_fp8/ | false | false | 1 | null | |
Cloud hosting for local ai models? | 1 | I guess there is no point in downloading an ai model from hugging face and uploading to a cloud host? You would just find a cloud provider of api calls to that ai model, like on openrouter, or?
Can someone explain like im 12, what privacy nerds who cant afford a local rig does?
Like whats the next most safe option af... | 2025-12-26T15:17:58 | https://www.reddit.com/r/LocalLLaMA/comments/1pw6mwb/cloud_hosting_for_local_ai_models/ | Sea-Replacement7541 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw6mwb | false | null | t3_1pw6mwb | /r/LocalLLaMA/comments/1pw6mwb/cloud_hosting_for_local_ai_models/ | false | false | self | 1 | null |
Rip my potato rig! | 0 | Am I frying my 8vram laptop by
running Qwen image edit GGUF
Q4 (12gb) !? | 2025-12-26T14:50:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pw6148/rip_my_potato_rig/ | Slight_Tone_2188 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw6148 | false | null | t3_1pw6148 | /r/LocalLLaMA/comments/1pw6148/rip_my_potato_rig/ | false | false | self | 0 | null |
What is the current bible of generative AI? | 0 | If somebody ask me 'what is the best, SotA book on data engineering in 2026' I have no doubt: it still is Kleppman's *Designing Data Intensive Applications.*
That's not just about building solutions. DDIA gives you a comprehensive theoretical understanding of whys and hows. You read it and you feel you learned things ... | 2025-12-26T14:26:15 | https://www.reddit.com/r/LocalLLaMA/comments/1pw5i5i/what_is_the_current_bible_of_generative_ai/ | Expensive-Paint-9490 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw5i5i | false | null | t3_1pw5i5i | /r/LocalLLaMA/comments/1pw5i5i/what_is_the_current_bible_of_generative_ai/ | false | false | self | 0 | null |
MLX community already added support for Minimax-M2.1 | 62 | 2025-12-26T14:06:29 | No_Conversation9561 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pw5360 | false | null | t3_1pw5360 | /r/LocalLLaMA/comments/1pw5360/mlx_community_already_added_support_for_minimaxm21/ | false | false | 62 | {'enabled': True, 'images': [{'id': 'YkAusEG3igdAdz7-5eXobuF-T_DpMiKLbKeSzaNX-2k', 'resolutions': [{'height': 200, 'url': 'https://preview.redd.it/phwy35uk2k9g1.jpeg?width=108&crop=smart&auto=webp&s=e4393e2b4fc104bec8900b823e18c814de5bdf09', 'width': 108}, {'height': 401, 'url': 'https://preview.redd.it/phwy35uk2k9g1.j... | |||
Text/chat completion | 1 | I have been a strong believer of the Text completion api, but recently, so often new models come with hidden chat template that I'm wondering if I'm just being hard-headed or is there still a merit to keeping to text completion or if I should just trust in chat completion.
I'm wondering if I truly understand the conse... | 2025-12-26T13:23:01 | https://www.reddit.com/r/LocalLLaMA/comments/1pw46pz/textchat_completion/ | kaisurniwurer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw46pz | false | null | t3_1pw46pz | /r/LocalLLaMA/comments/1pw46pz/textchat_completion/ | false | false | self | 1 | null |
Llama 3.2 "Hardening Paradox": Do complex system prompts decrease tool-use robustness? | 0 | Hi everyone,
I’ve been testing Llama 3.2 regarding Tool Invocation security and encountered a counter-intuitive pattern.
While "hardening" the System Prompt (adding explicit negative constraints and strict operational constraints) typically improves defense, Llama 3.2 seems to show the opposite behavior. As the Syste... | 2025-12-26T13:17:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pw42w8/llama_32_hardening_paradox_do_complex_system/ | Apart-Worldliness519 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw42w8 | false | null | t3_1pw42w8 | /r/LocalLLaMA/comments/1pw42w8/llama_32_hardening_paradox_do_complex_system/ | false | false | self | 0 | null |
Is this the right approach for a RAG design and setup? | 1 | Looking for a sanity check on rather I am on the right approach with my RAG setup.
My use case is that I need a hierarchy of documents to prioritize (SME created documents) over lower priority documents (generic admin guide). I have been following online guide + ChatGPT to come up with a retriever that ingest the hig... | 2025-12-26T13:17:04 | https://www.reddit.com/r/LocalLLaMA/comments/1pw42ih/is_this_the_right_approach_for_a_rag_design_and/ | Dre-Draper | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw42ih | false | null | t3_1pw42ih | /r/LocalLLaMA/comments/1pw42ih/is_this_the_right_approach_for_a_rag_design_and/ | false | false | self | 1 | null |
LM Arena shows error page after i sign in with google. | 0 | Has anyone faced the same issue? It just refuses to load and shows different versions of the error page right after I signed in with my google account. Please help! | 2025-12-26T13:03:25 | Badhere | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pw3t0a | false | null | t3_1pw3t0a | /r/LocalLLaMA/comments/1pw3t0a/lm_arena_shows_error_page_after_i_sign_in_with/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'twtgei96rj9g1', 'resolutions': [{'height': 54, 'url': 'https://preview.redd.it/twtgei96rj9g1.png?width=108&crop=smart&auto=webp&s=f5e305e535e75980936d6f54b1ea751d3148ed45', 'width': 108}, {'height': 108, 'url': 'https://preview.redd.it/twtgei96rj9g1.png?width=216&crop=smart&auto=web... | |
The best Local AI App comparison using this criteria... | 1 | # The best Local AI apps worldwide 26 Dec 2025 according to ChatGpt 5.2, using this parameters as comparison:
**Evaluation criteria:**
1. 3-click install → load → run
2. Install scope (User vs System)
3. Privacy enforcement (offline switch, no telemetry, no account, CLI)
4. Workspace features (files/images, code edit... | 2025-12-26T12:59:16 | Trilogix | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pw3pzt | false | null | t3_1pw3pzt | /r/LocalLLaMA/comments/1pw3pzt/the_best_local_ai_app_comparison_using_this/ | false | false | default | 1 | {'enabled': True, 'images': [{'id': 'qma7xm1eqj9g1', 'resolutions': [{'height': 49, 'url': 'https://preview.redd.it/qma7xm1eqj9g1.png?width=108&crop=smart&auto=webp&s=c36bf7afa1471ac364f1ad6debc691b0fc7ac1bb', 'width': 108}, {'height': 98, 'url': 'https://preview.redd.it/qma7xm1eqj9g1.png?width=216&crop=smart&auto=webp... | |
Talk me out of buying an RTX 3090 “just for local AI” (before I do something financially irresponsible) | 0 | I’m about to buy a used RTX 3090 purely to run local LLMs for coding/agent workflows, and I want you to talk me out of it.
Claude Code can be great, but I’m tired of it's price and limits and model "degradation” over time. I want something stable and predictable that I can run locally for refactors, repo-wide edits, ... | 2025-12-26T12:47:34 | Fast_Thing_7949 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pw3ias | false | null | t3_1pw3ias | /r/LocalLLaMA/comments/1pw3ias/talk_me_out_of_buying_an_rtx_3090_just_for_local/ | false | false | default | 0 | {'enabled': True, 'images': [{'id': 'qkvxiz4ioj9g1', 'resolutions': [{'height': 108, 'url': 'https://preview.redd.it/qkvxiz4ioj9g1.jpeg?width=108&crop=smart&auto=webp&s=6d3af97b34792b779c97f906408d266ecc0e98ca', 'width': 108}, {'height': 216, 'url': 'https://preview.redd.it/qkvxiz4ioj9g1.jpeg?width=216&crop=smart&auto=... | |
MiniMax M2.1 is OPEN SOURCE: SOTA for real-world dev & agents | 268 | Hugging face: [https://huggingface.co/MiniMaxAI/MiniMax-M2.1](https://huggingface.co/MiniMaxAI/MiniMax-M2.1)
SOTA on coding benchmarks (SWE / VIBE / Multi-SWE)
• Beats Gemini 3 Pro & Claude Sonnet 4.5
• 10B active / 230B total (MoE)
Not just SOTA,
faster to infer, easier to deploy,
and yes, you can even run it locall... | 2025-12-26T12:43:08 | Difficult-Cap-7527 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pw3fih | true | null | t3_1pw3fih | /r/LocalLLaMA/comments/1pw3fih/minimax_m21_is_open_source_sota_for_realworld_dev/ | false | false | default | 268 | {'enabled': True, 'images': [{'id': 'mxsku2dnnj9g1', 'resolutions': [{'height': 45, 'url': 'https://preview.redd.it/mxsku2dnnj9g1.jpeg?width=108&crop=smart&auto=webp&s=6af5e2486321482570851ee66eb15caddb64a6df', 'width': 108}, {'height': 90, 'url': 'https://preview.redd.it/mxsku2dnnj9g1.jpeg?width=216&crop=smart&auto=we... | |
Is there any useful small size model for Rx 580 with 8 GB of VRAM? For a hobbyist. | 12 | Just looking as a hobbyist beginner. I already use the corporate chatbots for my serious works so I am not looking for a model to cure cancer. I am just looking for a small model to play with. What I am looking for is something small but good for its size. Maybe I would use it for organizing my personal text files, etc... | 2025-12-26T12:38:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pw3cfn/is_there_any_useful_small_size_model_for_rx_580/ | skincr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw3cfn | false | null | t3_1pw3cfn | /r/LocalLLaMA/comments/1pw3cfn/is_there_any_useful_small_size_model_for_rx_580/ | false | false | self | 12 | null |
LM Studio - splitting a model across VRAM and system RAM | 1 | I currently have 16gb of system ram and plan on getting a 8gb graphics card (can't afford better at the moment). Does LM Studio support splitting the model across the VRAM and system RAM? I don't care that much about performance, I am patient enough. | 2025-12-26T12:33:29 | https://www.reddit.com/r/LocalLLaMA/comments/1pw39b3/lm_studio_splitting_a_model_across_vram_and/ | 7899987 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw39b3 | false | null | t3_1pw39b3 | /r/LocalLLaMA/comments/1pw39b3/lm_studio_splitting_a_model_across_vram_and/ | false | false | self | 1 | null |
Building a tool to benchmark prompts against multiple models (Llama 3 vs. GPT-4) instantly. Thoughts? | 0 | I'm building a simple open-source friendly tool to streamline prompt testing, and I wanted to get this community's feedback.
Currently, benchmarking a prompt requires opening 3 different tabs (ChatGPT, Claude Console, local Llama) and copy-pasting back and forth. It’s tedious.
I’m building a "Prompt IDE" that lets yo... | 2025-12-26T12:18:13 | https://www.reddit.com/r/LocalLLaMA/comments/1pw2zsu/building_a_tool_to_benchmark_prompts_against/ | Local-League-5616 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw2zsu | false | null | t3_1pw2zsu | /r/LocalLLaMA/comments/1pw2zsu/building_a_tool_to_benchmark_prompts_against/ | false | false | self | 0 | null |
Non-native English, AI translation, and Reddit: where is the line? (A Korean farmer’s question) | 21 | I am a farmer who grows garlic in Korea.
When I don’t have farm work, I spend most of my time talking with AI. For the last 2 years, I also spent not small money on many famous paid AI plans around the world, and I did my own personal research and experiments. In this process, I always thought in my mother language, K... | 2025-12-26T12:16:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pw2yw7/nonnative_english_ai_translation_and_reddit_where/ | amadale | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw2yw7 | false | null | t3_1pw2yw7 | /r/LocalLLaMA/comments/1pw2yw7/nonnative_english_ai_translation_and_reddit_where/ | false | false | self | 21 | null |
How to enable prompt caching with local inference? | 0 | Hi. I have \~2k static tokens I need to process in many different ways by changing in some ways the last \~200 tokens. Is there a way to cache the processed first \~1.8k tokens for faster TTFT? | 2025-12-26T12:09:55 | https://www.reddit.com/r/LocalLLaMA/comments/1pw2uv0/how_to_enable_prompt_caching_with_local_inference/ | robertpiosik | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw2uv0 | false | null | t3_1pw2uv0 | /r/LocalLLaMA/comments/1pw2uv0/how_to_enable_prompt_caching_with_local_inference/ | false | false | self | 0 | null |
Tiiny AI just released a one-shot demo of their Pocket Lab | 1 | Tiiny AI just dropped an unedited demo of their pocket pc running a 120B parameter model at 19 tokens/s on a 14-year-old Windows XP computer. | 2025-12-26T11:59:46 | http://x.com/TiinyAILab/status/2004220599384920082 | Wannabe_JEEAspirant | x.com | 1970-01-01T00:00:00 | 0 | {} | 1pw2ok4 | false | null | t3_1pw2ok4 | /r/LocalLLaMA/comments/1pw2ok4/tiiny_ai_just_released_a_oneshot_demo_of_their/ | false | false | default | 1 | null |
What I’ve learned trying to build a local AI coding setup (Ollama + VS Code guide inside) | 0 | Hey everyone,
Over the last couple of months I’ve been trying to move more of my coding workflow to local models instead of cloud tools, mainly as a way to learn what’s actually practical on consumer hardware. I bounced between random blog posts, YouTube videos and old Reddit threads, but it was still surprisingly har... | 2025-12-26T11:58:46 | https://www.reddit.com/r/LocalLLaMA/comments/1pw2nzc/what_ive_learned_trying_to_build_a_local_ai/ | Successful-Tax6498 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw2nzc | false | null | t3_1pw2nzc | /r/LocalLLaMA/comments/1pw2nzc/what_ive_learned_trying_to_build_a_local_ai/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'hjI8zo00c05whiGKrawHoQ3y07pti2NqVA8Ae0jh3aE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/hjI8zo00c05whiGKrawHoQ3y07pti2NqVA8Ae0jh3aE.png?width=108&crop=smart&auto=webp&s=ece7570189ef8b1d5c96961cca6cfbcdd0ed9cc6', 'width': 108}, {'height': 108, 'url': 'h... |
"Word count: 1,500" - A simple optimization for better story generation [Paper, sort of] | 0 | I'm a genre fiction author, but I like to hack around tech sometimes, LLMs included.
One day, I woke up and asked: does word count somehow magically affect LLM creative output? So I tested it, and tl;dr, yes. And I ended up documenting it as a paper-of-sorts.
---
## Abstract
This informal study investigates whether... | 2025-12-26T11:49:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pw2iea/word_count_1500_a_simple_optimization_for_better/ | TyphoonGZ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw2iea | false | null | t3_1pw2iea | /r/LocalLLaMA/comments/1pw2iea/word_count_1500_a_simple_optimization_for_better/ | false | false | self | 0 | null |
Jaya Gupta on the trillion dollar evolution of enterprise AI: Systems of record for decisions | 0 | Jaya Gupta just dropped what might be the most important architectural insight in enterprise AI.
Her thesis: Last generation software (Salesforce, SAP, Workday) became trillion dollar companies as **systems of record for data**. The next generation will be **systems of record for decisions**.
The key quote that hit m... | 2025-12-26T11:46:59 | https://www.reddit.com/r/LocalLLaMA/comments/1pw2h3y/jaya_gupta_on_the_trillion_dollar_evolution_of/ | Classic-Ad-8318 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw2h3y | false | null | t3_1pw2h3y | /r/LocalLLaMA/comments/1pw2h3y/jaya_gupta_on_the_trillion_dollar_evolution_of/ | false | false | self | 0 | null |
Best LLM Setup for development | 2 | Hey everyone, I want to build a setup for following config:
1. I have my developer machine running Windows with Ryzen 5950x + RTX 3090 + 64Gb of DDR4
2. I also have a dedicated machine to run LLM only. It's a Mac Studio M2 Ultra 64GB.
What models and software would you chose? I tried LM Studio with Qwen3-Coder 30B an... | 2025-12-26T11:28:12 | https://www.reddit.com/r/LocalLLaMA/comments/1pw2648/best_llm_setup_for_development/ | IsSeMi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw2648 | false | null | t3_1pw2648 | /r/LocalLLaMA/comments/1pw2648/best_llm_setup_for_development/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': '7FTmwKM4TuCvaIMSlask76mRn8liFawdPuHJFSqPl9U', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/7FTmwKM4TuCvaIMSlask76mRn8liFawdPuHJFSqPl9U.png?width=108&crop=smart&auto=webp&s=efe307f51ff2874b18960bc89ca5a18a1b551442', 'width': 108}, {'height': 113, 'url': 'h... |
Learning Java by Building an AI Agent Library. Would Love Your Feedback | 2 | I've been diving into Java as a learning project, and coming from a Python background (where I've used libraries like PydanticAI and LangGraph), I wanted to challenge myself with something ambitious: building an agentic AI library in Java.
After playing with \*\*LangChain4J\*\* and \*\*Spring AI\*\*, I found the lea... | 2025-12-26T11:23:43 | https://www.reddit.com/r/LocalLLaMA/comments/1pw23mi/learning_java_by_building_an_ai_agent_library/ | Time-Plum-7893 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw23mi | false | null | t3_1pw23mi | /r/LocalLLaMA/comments/1pw23mi/learning_java_by_building_an_ai_agent_library/ | false | false | self | 2 | null |
Added Google's Gemini Conductor to my local LLM CLI fork - context-driven development that works offline | 5 | 2025-12-26T11:16:11 | https://www.reddit.com/r/LocalLLaMA/comments/1pw1zfn/added_googles_gemini_conductor_to_my_local_llm/ | Honest-Fun-5279 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw1zfn | false | null | t3_1pw1zfn | /r/LocalLLaMA/comments/1pw1zfn/added_googles_gemini_conductor_to_my_local_llm/ | false | false | 5 | null | ||
Custom Audio + Custom Image to video for 16gb VRAM solution please. | 1 | Hello,
I typed audio + image video 16gb vram local, than i typed custom audio + custom image to video local and 10 multiple other keywrods tries in stupid reddit search and on stupid google before posting this and i can't find any results that are related to what i want exactly.
I need this simple thing.. I upload ... | 2025-12-26T11:04:49 | https://www.reddit.com/r/LocalLLaMA/comments/1pw1t2l/custom_audio_custom_image_to_video_for_16gb_vram/ | anonthatisopen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw1t2l | false | null | t3_1pw1t2l | /r/LocalLLaMA/comments/1pw1t2l/custom_audio_custom_image_to_video_for_16gb_vram/ | false | false | self | 1 | null |
Building the AI primitives the Python community is missing. (Not another Framework) | 0 | [Celeste AI](https://github.com/withceleste/celeste-python) is a unified, standard python sdk for Multi Modal AI
Most "unified" libraries focus on LLMs (Text). Celeste is capability agnostic. It provides the same strict, type-safe primitives for Text, Image, Audio, Video, Embeddings and more.
It solves the fragmentat... | 2025-12-26T11:00:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pw1qf2/building_the_ai_primitives_the_python_community/ | Familiar_Print_4882 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw1qf2 | false | null | t3_1pw1qf2 | /r/LocalLLaMA/comments/1pw1qf2/building_the_ai_primitives_the_python_community/ | false | false | 0 | null | |
local models are completely failing me on browser architecture | 0 | so i'm usually a big advocate for local models and doing everything in-house, but i had a project recently that required a really tight integration with the browser. i needed a custom extension to help me scrape and format data from some very specific research portals i use. i tried to prompt a few local models to help... | 2025-12-26T10:56:34 | https://www.reddit.com/r/LocalLLaMA/comments/1pw1occ/local_models_are_completely_failing_me_on_browser/ | Emotional_Most3153 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw1occ | false | null | t3_1pw1occ | /r/LocalLLaMA/comments/1pw1occ/local_models_are_completely_failing_me_on_browser/ | false | false | self | 0 | null |
sSanityLayer Demo with screenshots | 0 | This is a follow up to my previous post on sSanityLayer. Check
[A sanity layer that can make SLMs useful (sSanityLayer) : r/LocalLLaMA](https://www.reddit.com/r/LocalLLaMA/comments/1put96m/a_sanity_layer_that_can_make_slms_useful/)
These are demo screenshots for the two architectures.
Screenshot 1-3: The vec... | 2025-12-26T10:48:48 | https://www.reddit.com/gallery/1pw1k0q | ValuableLucky8566 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1pw1k0q | false | null | t3_1pw1k0q | /r/LocalLLaMA/comments/1pw1k0q/ssanitylayer_demo_with_screenshots/ | false | false | nsfw | 0 | null |
Solving CTF Challenges with gpt-oss 20b | 2 | Hey guys,
I recently wrote an article how I hooked up Claude code with gpt-oss 20 b and used it to solve a cyber security challenge (CTF challenge).
Hope its helpful!
Check it out at:
[https://yousofnahya.medium.com/solving-ctf-challenges-with-local-ai-models-3d7f7b8dcad0](https://yousofnahya.medium.com/solving-ctf... | 2025-12-26T10:42:21 | https://www.reddit.com/r/LocalLLaMA/comments/1pw1gd4/solving_ctf_challenges_with_gptoss_20b/ | whoami-233 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw1gd4 | false | null | t3_1pw1gd4 | /r/LocalLLaMA/comments/1pw1gd4/solving_ctf_challenges_with_gptoss_20b/ | false | false | self | 2 | null |
Training/tuning on textbook data | 4 | Excuse my ignorance, I'm very new to the topic.
I want to train up / tune one of these new open source models, to help troubleshoot diesel / heavy duty diagnostics.
I've played around with chatgpt, claude, deepseek and with good prompting i can get some pretty good answers, (looking for like spoonfed next steps on d... | 2025-12-26T10:37:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pw1dt0/trainingtuning_on_textbook_data/ | Infamous_Patience129 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw1dt0 | false | null | t3_1pw1dt0 | /r/LocalLLaMA/comments/1pw1dt0/trainingtuning_on_textbook_data/ | false | false | self | 4 | null |
Claude connected to game memory using MCP <> CheatEngine | 1 | Decided to make a little experiment to see what would happen if I connected an AI agent to cheat engine tools, and this thing debugged the entire packet decryption hook in a few minutes, insane.
If it's possible to do this with a little game and CE, I wonder what the chinese are doing right now to reverse engineer cri... | 2025-12-26T10:27:43 | https://v.redd.it/kbe0xw29zi9g1 | helloitsj0nny | /r/LocalLLaMA/comments/1pw181d/claude_connected_to_game_memory_using_mcp/ | 1970-01-01T00:00:00 | 0 | {} | 1pw181d | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/kbe0xw29zi9g1/DASHPlaylist.mpd?a=1769466471%2CZWI3Njg3OTU0OTg4MWZkZDA2ODUxYmM1MmE4YzNkOTczZGI4OGIxYTM3OTdmNzBjMGI4OTY1NjY4NzhkMmNiNQ%3D%3D&v=1&f=sd', 'duration': 160, 'fallback_url': 'https://v.redd.it/kbe0xw29zi9g1/CMAF_1080.mp4?source=fallback', '... | t3_1pw181d | /r/LocalLLaMA/comments/1pw181d/claude_connected_to_game_memory_using_mcp/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'azRmZjdkMzl6aTlnMbgyF04P39JFGJDEPOI1XhoCx3e6Z5JMrBkPuitAV1Uz', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/azRmZjdkMzl6aTlnMbgyF04P39JFGJDEPOI1XhoCx3e6Z5JMrBkPuitAV1Uz.png?width=108&crop=smart&format=pjpg&auto=webp&s=53d5da50c17be7bb11ec4d14e7d7c271f524f... | |
GLM 4.7 for Agentic | 11 | GLM 4.7 is the new hot potato
Has anyone tested it for agentic use yet? Even just tool calling and MCP use?
I noticed it beat Deepseek 3.2 and Kimi K2 Thinking on the agentic benches | 2025-12-26T09:49:32 | https://www.reddit.com/r/LocalLLaMA/comments/1pw0mtz/glm_47_for_agentic/ | SlowFail2433 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw0mtz | false | null | t3_1pw0mtz | /r/LocalLLaMA/comments/1pw0mtz/glm_47_for_agentic/ | false | false | self | 11 | null |
I built a "Recursive Swarm" topology to solve ARC-AGI puzzles. It prunes 98% of dead-end logic branches before they hit the context window. | 0 | 2025-12-26T09:30:48 | https://v.redd.it/gn358q2yni9g1 | NoDimension8116 | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pw0d1f | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/gn358q2yni9g1/DASHPlaylist.mpd?a=1769333462%2CMmI2MmJmZWM4MzA1YTA1ZjY4MzE5ODczZjAxNzBhMDJlNTNmNjY5NmI2Zjg3YTI1MDM1Mjc2ZDg3MTNkNzBhMg%3D%3D&v=1&f=sd', 'duration': 45, 'fallback_url': 'https://v.redd.it/gn358q2yni9g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1pw0d1f | /r/LocalLLaMA/comments/1pw0d1f/i_built_a_recursive_swarm_topology_to_solve/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'MnVuZmRyM3luaTlnMZRxUO_UfEMRzIP3cxQ10WuQlwvjJi3easP2N4HcNwpJ', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/MnVuZmRyM3luaTlnMZRxUO_UfEMRzIP3cxQ10WuQlwvjJi3easP2N4HcNwpJ.png?width=108&crop=smart&format=pjpg&auto=webp&s=f602ac020f017d5fca76665f62a3f8c50f573... | ||
LocalAI for a pc game | 2 | Hello, I'm a junior game developer, and in Friendslop games, mimics or enemy behaviors fundamentally change the game. I'm thinking of running a local AI within the game for enemy behaviors and for mimics to mimic sounds and dialogue. But if I do this, what will the minimum system requirements be? 5090? Would a local AI... | 2025-12-26T09:25:36 | https://www.reddit.com/r/LocalLLaMA/comments/1pw0ac9/localai_for_a_pc_game/ | MeuHorizon | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pw0ac9 | false | null | t3_1pw0ac9 | /r/LocalLLaMA/comments/1pw0ac9/localai_for_a_pc_game/ | false | false | self | 2 | null |
Mistral's reasoning models won't use reasoning if i put anything into system prompt. | 4 | So, i wanted to give Magistral 24b a try, and i ran into a problem. I'm using LM Studio, and for some reason, using any kind of system prompt prevents the model from "thinking". Doesn't seem to matter what the prompt is, even if i explicitly ask the model to use it's reasoning capabilities, it just won't do it. It does... | 2025-12-26T09:01:15 | iz-Moff | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvzxas | false | null | t3_1pvzxas | /r/LocalLLaMA/comments/1pvzxas/mistrals_reasoning_models_wont_use_reasoning_if_i/ | false | false | default | 4 | {'enabled': True, 'images': [{'id': '5vlfepyzii9g1', 'resolutions': [{'height': 67, 'url': 'https://preview.redd.it/5vlfepyzii9g1.png?width=108&crop=smart&auto=webp&s=79bae0843d7cc1dd542eab244df52aca5368981a', 'width': 108}, {'height': 135, 'url': 'https://preview.redd.it/5vlfepyzii9g1.png?width=216&crop=smart&auto=web... | |
What to run Local AI | 2 | low end pc 16 gb ram, amd ryzen cpu, no dedicated gpu, i have space avilable in d drive around 110gb... paging file moved to s drive...
which LLM model with what tools is good. i want it to assist me with fortran level VUEL, UEL level coding, memory mapping and data transfer... i have many softwares in c drive and py... | 2025-12-26T08:58:19 | https://www.reddit.com/r/LocalLLaMA/comments/1pvzvn1/what_to_run_local_ai/ | 199_me99 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvzvn1 | false | null | t3_1pvzvn1 | /r/LocalLLaMA/comments/1pvzvn1/what_to_run_local_ai/ | false | false | self | 2 | null |
What hack is this?. Can anyone gimme the files for free? | 0 | Or teach me how to get the files for render after generating the tsx code
Also, do tell me the use cases for this | 2025-12-26T08:30:12 | https://youtu.be/ogn0FiDnAM4?si=hGWPoxKruDqVpHaa | ReceptionAcrobatic42 | youtu.be | 1970-01-01T00:00:00 | 0 | {} | 1pvzgnl | false | null | t3_1pvzgnl | /r/LocalLLaMA/comments/1pvzgnl/what_hack_is_this_can_anyone_gimme_the_files_for/ | false | false | default | 0 | null |
Minimax M2.1 released | 174 | Link to xcancel:
https://xcancel.com/ModelScope2022/status/2004462984698253701#m
New on ModelScope: MiniMax M2.1 is open-source!
✅ SOTA in 8+ languages (Rust, Go, Java, C++, TS, Kotlin, Obj-C, JS)
✅ Full-stack Web & mobile dev: Android/iOS, 3D visuals, vibe coding that actually ships
✅ Smarter, faster, 30% fewer toke... | 2025-12-26T08:13:29 | https://www.reddit.com/r/LocalLLaMA/comments/1pvz7v2/minimax_m21_released/ | __Maximum__ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvz7v2 | false | null | t3_1pvz7v2 | /r/LocalLLaMA/comments/1pvz7v2/minimax_m21_released/ | false | false | self | 174 | null |
MiniMax-M2.1 uploaded on HF | 127 | https://huggingface.co/MiniMaxAI/MiniMax-M2.1/tree/main | 2025-12-26T08:12:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pvz7bf/minimaxm21_uploaded_on_hf/ | ciprianveg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvz7bf | false | null | t3_1pvz7bf | /r/LocalLLaMA/comments/1pvz7bf/minimaxm21_uploaded_on_hf/ | false | false | self | 127 | null |
From Single GPU to Clusters: A Practical Journey into Distributed Training with PyTorch and Ray | 1 | [removed] | 2025-12-26T07:31:03 | https://www.reddit.com/r/LocalLLaMA/comments/1pvykjq/from_single_gpu_to_clusters_a_practical_journey/ | Brilliant_Witness_34 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvykjq | false | null | t3_1pvykjq | /r/LocalLLaMA/comments/1pvykjq/from_single_gpu_to_clusters_a_practical_journey/ | false | false | self | 1 | null |
my ego is actually cooked after playing this 💀 | 0 | ok so i stumbled on [Hack AI - CTF Platform](https://www.hackai.lol/) and i’ve been trying to gaslight this ai for like an hour straight to get the secret key. honestly thought it would be easy but the higher levels legit destroyed me, the guardrails are crazy. if anyone here thinks they’re a prompt god pls try level 5... | 2025-12-26T07:09:46 | https://www.reddit.com/r/LocalLLaMA/comments/1pvy8ni/my_ego_is_actually_cooked_after_playing_this/ | Hot-Software-9052 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvy8ni | false | null | t3_1pvy8ni | /r/LocalLLaMA/comments/1pvy8ni/my_ego_is_actually_cooked_after_playing_this/ | false | false | self | 0 | null |
Poor Inference Speed on GLM 4.5 Air with 24gb VRAM and 64gb DDR5 | 8 | Any help is highly appreciated to see if I've missed something obvious as I trouble shoot this on my end.
\# TL:DR
I'm just looking for some help from the community if I've missed something crucial between Linux OS to match the token generation inference speed I previously had on my system. Token generation speed h... | 2025-12-26T06:56:23 | https://www.reddit.com/r/LocalLLaMA/comments/1pvy0x7/poor_inference_speed_on_glm_45_air_with_24gb_vram/ | ROS_SDN | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvy0x7 | false | null | t3_1pvy0x7 | /r/LocalLLaMA/comments/1pvy0x7/poor_inference_speed_on_glm_45_air_with_24gb_vram/ | false | false | self | 8 | null |
Hard lesson learned after a year of running large models locally | 313 | Hi all, go easy with me I'm new at running large models.
After spending about 12 months tinkering with locally hosted LLMs, I thought I had my setup dialed in. I’m running everything off a workstation with a single RTX 3090, Ubuntu 22.04, llama.cpp for smaller models and vLLM for anything above 30 B parameters.
My g... | 2025-12-26T06:38:00 | https://www.reddit.com/r/LocalLLaMA/comments/1pvxq2t/hard_lesson_learned_after_a_year_of_running_large/ | inboundmage | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvxq2t | false | null | t3_1pvxq2t | /r/LocalLLaMA/comments/1pvxq2t/hard_lesson_learned_after_a_year_of_running_large/ | false | false | self | 313 | null |
Finally a Kimi-Linear-48B-A3B GGUF! [Experimental PR] | 89 | Hey everyone,
Yes, it's finally happening! I recently pushed some changes and have gotten Kimi-Linear to work (fully; fingers crossed) PR (#18381).
I've tested it heavily on Q2\_K (mind BLOWING coherence :), and it’s now passing logic puzzles, long-context essay generation, and basic math - all of which were previou... | 2025-12-26T06:32:16 | https://www.reddit.com/r/LocalLLaMA/comments/1pvxmqt/finally_a_kimilinear48ba3b_gguf_experimental_pr/ | KvAk_AKPlaysYT | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvxmqt | false | null | t3_1pvxmqt | /r/LocalLLaMA/comments/1pvxmqt/finally_a_kimilinear48ba3b_gguf_experimental_pr/ | false | false | 89 | null | |
Replacing Tool Call History with State: A New Way to Build Context for Intelligent Agents | 1 | [removed] | 2025-12-26T06:21:06 | https://www.reddit.com/r/LocalLLaMA/comments/1pvxg88/replacing_tool_call_history_with_state_a_new_way/ | ConsineTech | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvxg88 | false | null | t3_1pvxg88 | /r/LocalLLaMA/comments/1pvxg88/replacing_tool_call_history_with_state_a_new_way/ | false | false | 1 | null | |
TurboDiffusion — 100–200× faster video diffusion on a single GPU | 42 | Open framework that speeds up end-to-end video generation by 100–200× while keeping quality, shown on a single RTX 5090. 
• How: low-bit SageAttention + trainable Sparse-Linear Attention, rCM step distillation, and W8A8 quantization. 
• Repo: https://github.com/thu-ml/TurboDiffusion
| 2025-12-26T06:04:06 | freesysck | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvx6a0 | false | null | t3_1pvx6a0 | /r/LocalLLaMA/comments/1pvx6a0/turbodiffusion_100200_faster_video_diffusion_on_a/ | false | false | default | 42 | {'enabled': True, 'images': [{'id': 'b5vrplmioh9g1', 'resolutions': [{'height': 43, 'url': 'https://preview.redd.it/b5vrplmioh9g1.jpeg?width=108&crop=smart&auto=webp&s=b097cee900d62f928bc1976425ea69825d67c3f6', 'width': 108}, {'height': 86, 'url': 'https://preview.redd.it/b5vrplmioh9g1.jpeg?width=216&crop=smart&auto=we... | |
systemctl disable ollama | 219 | 151GB timeshift snapshot composed of mainly Flatpak repo data (Alpaca?) and /usr/share/ollama
From now on I'm storing models in my home directory | 2025-12-26T05:30:55 | copenhagen_bram | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvwlfh | false | null | t3_1pvwlfh | /r/LocalLLaMA/comments/1pvwlfh/systemctl_disable_ollama/ | false | false | default | 219 | {'enabled': True, 'images': [{'id': '8qvw6jdjih9g1', 'resolutions': [{'height': 106, 'url': 'https://preview.redd.it/8qvw6jdjih9g1.png?width=108&crop=smart&auto=webp&s=e86c684f7e53612dd0d0d016ba7ead85e702fb33', 'width': 108}, {'height': 213, 'url': 'https://preview.redd.it/8qvw6jdjih9g1.png?width=216&crop=smart&auto=we... | |
Day 18: 21 Days of Building a Small Language Model: Quantization | 15 | **Merry Christmas to all of you 🎄**
Today, I want to talk about one of my favorite topics, quantization, and why it’s so important for running large language models on consumer-grade GPUs.
Welcome to Day 18 of 21 Days of Building a Small Language Model. The topic for today is quantization, one of the most practic... | 2025-12-26T05:12:24 | https://www.reddit.com/r/LocalLLaMA/comments/1pvw9jo/day_18_21_days_of_building_a_small_language_model/ | Prashant-Lakhera | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvw9jo | false | null | t3_1pvw9jo | /r/LocalLLaMA/comments/1pvw9jo/day_18_21_days_of_building_a_small_language_model/ | false | false | self | 15 | null |
local models are completely failing me on browser architecture | 1 | [removed] | 2025-12-26T05:08:38 | https://www.reddit.com/r/LocalLLaMA/comments/1pvw73h/local_models_are_completely_failing_me_on_browser/ | Budget_Television445 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvw73h | false | null | t3_1pvw73h | /r/LocalLLaMA/comments/1pvw73h/local_models_are_completely_failing_me_on_browser/ | false | false | self | 1 | null |
Kimi-Linear Support in progress (you can download gguf and run it) | 67 | It's not reviewed, so don't get too excited yet | 2025-12-26T04:50:52 | https://github.com/ggml-org/llama.cpp/pull/18381 | jacek2023 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pvvv8m | false | null | t3_1pvvv8m | /r/LocalLLaMA/comments/1pvvv8m/kimilinear_support_in_progress_you_can_download/ | false | false | default | 67 | {'enabled': False, 'images': [{'id': 'Ez8JR9W3z41Aa9GoVbfLGF_GmJCt-mt-65CyiCbmgv4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Ez8JR9W3z41Aa9GoVbfLGF_GmJCt-mt-65CyiCbmgv4.png?width=108&crop=smart&auto=webp&s=16143993c0c001e38914f9ea7836fd59885b8d2f', 'width': 108}, {'height': 108, 'url': 'h... |
Small RAG project with 16 gb VRAM | 1 | I'm wanting to get my feet wet with self-hosting LLMs by making an LLM with RAG capable of answering questions regarding a set of google documents that I have.
Biggest problem is that I'm only working with 16 gb VRAM. I have a couple basic questions about this:
1. Is this stupid? Is 16 gb enough to make anything mea... | 2025-12-26T04:05:48 | https://www.reddit.com/r/LocalLLaMA/comments/1pvv279/small_rag_project_with_16_gb_vram/ | immortal_dice | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvv279 | false | null | t3_1pvv279 | /r/LocalLLaMA/comments/1pvv279/small_rag_project_with_16_gb_vram/ | false | false | self | 1 | null |
[Deep Dive] LLM “Hallucinations” Are Not Random — A Farmer’s Observation of Structural Limits After Talking With Many AIs | 0 | Over the last two years, I kept hundreds of AI chat windows open and continued experimenting without “closing the conversation.”
As my logs accumulated, one pattern kept repeating: hallucinations are not just accidents. They often look like a *self-repair behavior* that appears when the response structure starts to b... | 2025-12-26T03:20:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pvu7ch/deep_dive_llm_hallucinations_are_not_random_a/ | amadale | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvu7ch | false | null | t3_1pvu7ch | /r/LocalLLaMA/comments/1pvu7ch/deep_dive_llm_hallucinations_are_not_random_a/ | false | false | self | 0 | null |
Recommended specs for image to text server in Australia | 0 | I am blind and make frequent use of ChatGPT for describing images in depth but would like to start hosting my own server for it instead so I'm not sending them all my POI.
Ive been looking into buying a min pc and GPUs to be run ai models locally but am really unsure what kind of prices I should expect for reasonable s... | 2025-12-26T02:53:05 | https://www.reddit.com/r/LocalLLaMA/comments/1pvtoxv/recommended_specs_for_image_to_text_server_in/ | CloudsOfMagellan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvtoxv | false | null | t3_1pvtoxv | /r/LocalLLaMA/comments/1pvtoxv/recommended_specs_for_image_to_text_server_in/ | false | false | self | 0 | null |
An unnoficial and easy implementation of Nested Learning paradigm(Ali Behrouz et al, and other Google Researchers) | 18 | i know this isn't a Local LLM Topic, but i need help with scaling it to a bigger model and train on a bigger dataset and language modeling, here is the link:
https://github.com/WindOfNature/Nested-Learning
The proof of concept there is just on scikit learn(digit) and the accuracy is bad, i think this is because of the... | 2025-12-26T02:31:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pvta3k/an_unnoficial_and_easy_implementation_of_nested/ | Big-Welcome-3169 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvta3k | false | null | t3_1pvta3k | /r/LocalLLaMA/comments/1pvta3k/an_unnoficial_and_easy_implementation_of_nested/ | false | false | self | 18 | {'enabled': False, 'images': [{'id': 'RVQ0758GnQBsokcp9_XZEZsuZg14XNc-ErRDAngmv-Y', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/RVQ0758GnQBsokcp9_XZEZsuZg14XNc-ErRDAngmv-Y.png?width=108&crop=smart&auto=webp&s=81faa479b9e9c9c35b1b5cb06617768f8eb1e52d', 'width': 108}, {'height': 108, 'url': 'h... |
Highly accurate local LLM for SQL analytics on large production datasets | 6 | Hi everyone,
I’m working on **SQL analytics locally** for my company, using **large, real production datasets**.
My **top priority is accuracy and correctness**, not creativity or speed.
I’m specifically looking for a **local LLM** that is:
* **Highly accurate in SQL generation**
* Strong at **analytical reasoning... | 2025-12-26T01:44:13 | https://www.reddit.com/r/LocalLLaMA/comments/1pvsdhl/highly_accurate_local_llm_for_sql_analytics_on/ | NoBlackberry3264 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvsdhl | false | null | t3_1pvsdhl | /r/LocalLLaMA/comments/1pvsdhl/highly_accurate_local_llm_for_sql_analytics_on/ | false | false | self | 6 | null |
ASUS Rumored To Enter DRAM Market Next Year | 143 | Well instead of learning abbout AI and having a pretty small chince finding a real job with that knoweledge actually seems that right now and in near future the most proffitable is investing in AI and tech stocks. And some people make money when stocks go sharp down.
Because of PC CPUs are locked at max 256 RAM su... | 2025-12-26T01:36:47 | https://www.reddit.com/r/LocalLLaMA/comments/1pvs8l3/asus_rumored_to_enter_dram_market_next_year/ | Highwaytothebeach | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvs8l3 | false | null | t3_1pvs8l3 | /r/LocalLLaMA/comments/1pvs8l3/asus_rumored_to_enter_dram_market_next_year/ | false | false | self | 143 | {'enabled': False, 'images': [{'id': 'bV5R3liuaq4Qp5QYZdhkEBdElIkvRXsY41Bw5Im7OGA', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/bV5R3liuaq4Qp5QYZdhkEBdElIkvRXsY41Bw5Im7OGA.png?width=108&crop=smart&auto=webp&s=c46404787f77630a4db63488e1da1fe6020db6bc', 'width': 108}, {'height': 120, 'url': 'h... |
What are the best places to get good prompts? | 4 | I’m aware that most prompts are specific to the situation and are unique to your use case and yadda yadda. That said, does anyone have a place they go for presets, prompts, etc? Any special techniques, new ways of looking at it, etc? | 2025-12-26T01:33:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pvs6dc/what_are_the_best_places_to_get_good_prompts/ | Borkato | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvs6dc | false | null | t3_1pvs6dc | /r/LocalLLaMA/comments/1pvs6dc/what_are_the_best_places_to_get_good_prompts/ | false | false | self | 4 | null |
I built MCP Chat Studio - A testing platform for MCP servers with visual mock generator | 2 | 2025-12-26T01:31:28 | https://github.com/JoeCastrom/mcp-chat-studio | Some-Put8242 | github.com | 1970-01-01T00:00:00 | 0 | {} | 1pvs4x0 | false | null | t3_1pvs4x0 | /r/LocalLLaMA/comments/1pvs4x0/i_built_mcp_chat_studio_a_testing_platform_for/ | false | false | default | 2 | {'enabled': False, 'images': [{'id': 'yFoF304PPkoAXg7NdaLoEYkJb2ub8tEeoZUDAVBhunE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/yFoF304PPkoAXg7NdaLoEYkJb2ub8tEeoZUDAVBhunE.png?width=108&crop=smart&auto=webp&s=589ceb94a76f05071f1c0c0328e881a5f16aa9f7', 'width': 108}, {'height': 108, 'url': 'h... | |
NOTICE - ROMED8-2T MOTHERBOARD USERS - Please read, don't melt cables.. | 17 | Please, if you're using this motherboard, read closely. I learned this the hard way. Pretty scary to walk into the server closet and see a glowing orange light where there shouldn't be one..
On page 31 of the manual, it reads:
https://preview.redd.it/3uvl88hp9g9g1.png?width=714&format=png&auto=webp&s=ef038f1b39dd4aa6... | 2025-12-26T01:24:02 | https://www.reddit.com/r/LocalLLaMA/comments/1pvrzrm/notice_romed82t_motherboard_users_please_read/ | gittb | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvrzrm | false | null | t3_1pvrzrm | /r/LocalLLaMA/comments/1pvrzrm/notice_romed82t_motherboard_users_please_read/ | false | false | 17 | null | |
The Best Roleplay Model | 0 | What you guys think is the best open source model for roleplay? I want a model with at least the same narrative level of claude opus 4.5.
It would be good if it is completely uncensored too | 2025-12-26T01:07:13 | https://www.reddit.com/r/LocalLLaMA/comments/1pvro36/the_best_roleplay_model/ | Luuthh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvro36 | false | null | t3_1pvro36 | /r/LocalLLaMA/comments/1pvro36/the_best_roleplay_model/ | false | false | self | 0 | null |
Well… that was hard. Really. | 80 | 2025-12-26T00:42:07 | getheat | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvr6b0 | false | null | t3_1pvr6b0 | /r/LocalLLaMA/comments/1pvr6b0/well_that_was_hard_really/ | false | false | 80 | {'enabled': True, 'images': [{'id': 'nR8-K0NGAsZoXi8MIkY92ZyjIvyk_kGu5aaEmLCxkjM', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/eyfif7m23g9g1.jpeg?width=108&crop=smart&auto=webp&s=dcde98ddda42ecc19032f8c6ad7b7a06e5956452', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/eyfif7m23g9g1.j... | |||
A Christmas Miracle: Managed to grab 3x RTX 5090 FE at MSRP for my home inference cluster. | 142 | **It has been a challenging year, but it has brought its own blessings too. I am truly grateful to God for so much more than just hardware, but I am also specifically thankful for this opportunity to upgrade my local AI research lab.**
**I just want to wish everyone here a Merry Christmas! Don't give up on your dreams... | 2025-12-26T00:41:51 | Sudden_Rip7717 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvr64e | false | null | t3_1pvr64e | /r/LocalLLaMA/comments/1pvr64e/a_christmas_miracle_managed_to_grab_3x_rtx_5090/ | false | false | default | 142 | {'enabled': True, 'images': [{'id': 'go1uf72v2g9g1', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/go1uf72v2g9g1.jpeg?width=108&crop=smart&auto=webp&s=8c2399d7c4540f73573ccf08ef26b41d048a79d2', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/go1uf72v2g9g1.jpeg?width=216&crop=smart&auto=... | |
I tested GLM 4.7 and minimax-m2.1 and compared it to CC and Codex | 37 | TL;DR
Claude=best, mimimax-m2.1=excellent (surprised), Codex 5.2-med=very good, GLM-4.7=bad
Ok, so I tested codex5.2-med today and minimax-m2.1 today. I ran these same tests on GLM 4.7 and Claude code (sonnet 4.5 and Haiku 4.5) yesterday.
Lets me add some background to my job I had for it. I tested it on a Vue JS... | 2025-12-26T00:34:22 | https://www.reddit.com/r/LocalLLaMA/comments/1pvr0w0/i_tested_glm_47_and_minimaxm21_and_compared_it_to/ | jstanaway | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvr0w0 | false | null | t3_1pvr0w0 | /r/LocalLLaMA/comments/1pvr0w0/i_tested_glm_47_and_minimaxm21_and_compared_it_to/ | false | false | self | 37 | null |
A personal experiment: exploring how a local AI system might manage internal state and process | 0 | I’m building a local experimental system as a **personal lab**, driven mainly by **curiosity and testing**, not by product ambitions.
I’m **not a professional from the AI field**, so this is also a way for me to learn by doing, making mistakes, and adjusting along the way.
What appears in the images is **just the UI*... | 2025-12-26T00:28:37 | https://www.reddit.com/r/LocalLLaMA/comments/1pvqwqe/a_personal_experiment_exploring_how_a_local_ai/ | Kooky-Effective2711 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvqwqe | false | null | t3_1pvqwqe | /r/LocalLLaMA/comments/1pvqwqe/a_personal_experiment_exploring_how_a_local_ai/ | false | false | self | 0 | null |
Local LLM concurrency question: “satellite orchestration” works, but LM Studio serializes requests and kills parallelism | 9 | I’m experimenting with a “stream orchestration” pattern for live assistants, where the chat-facing agent stays responsive while background agents continuously enrich state.
The mental model is the attached diagram: there is one **Executor** (the only agent that talks to the user) and multiple **Satellite agents** arou... | 2025-12-26T00:22:07 | marcosomma-OrKA | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvqs54 | false | null | t3_1pvqs54 | /r/LocalLLaMA/comments/1pvqs54/local_llm_concurrency_question_satellite/ | false | false | default | 9 | {'enabled': True, 'images': [{'id': 'hhq4pkyvyf9g1', 'resolutions': [{'height': 103, 'url': 'https://preview.redd.it/hhq4pkyvyf9g1.png?width=108&crop=smart&auto=webp&s=a3c4dc19077f4ff8b6eee0ad10d180d28617abaf', 'width': 108}, {'height': 206, 'url': 'https://preview.redd.it/hhq4pkyvyf9g1.png?width=216&crop=smart&auto=we... | |
I wish this GPU VRAM upgrade modification became mainstream and ubiquitous to shred monopoly abuse of NVIDIA | 873 | 2025-12-25T23:21:39 | https://v.redd.it/u1mxlc3lof9g1 | CeFurkan | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvpkqo | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/u1mxlc3lof9g1/DASHPlaylist.mpd?a=1769296917%2CMDg0MDFjMzFiNTE2MzU0NzExNzU5YjkwMmRjZmExNmYyODdiZDM3Yzc3MjdiNDljYWQ5ODc0ZGVlNWQyOWM3Mw%3D%3D&v=1&f=sd', 'duration': 62, 'fallback_url': 'https://v.redd.it/u1mxlc3lof9g1/CMAF_1080.mp4?source=fallback', 'h... | t3_1pvpkqo | /r/LocalLLaMA/comments/1pvpkqo/i_wish_this_gpu_vram_upgrade_modification_became/ | false | false | 873 | {'enabled': False, 'images': [{'id': 'eHAyeXBnM2xvZjlnMcbYDDf5MmPAc5-kZmkvzc1kUbOViw5SF6SuJ_dOojri', 'resolutions': [{'height': 192, 'url': 'https://external-preview.redd.it/eHAyeXBnM2xvZjlnMcbYDDf5MmPAc5-kZmkvzc1kUbOViw5SF6SuJ_dOojri.png?width=108&crop=smart&format=pjpg&auto=webp&s=24ece10a29e83fa72de3ba41f41d8f8a07fa... | ||
Steering LLM Behavior Without Fine-Tuning | 40 | This video from HuggingFave is a masterpiece!! I thought it should not go unnoticed - despite the good views it has - and share it with you guys.
It shows how you can modify the behavior or the personality of a model at inference time, without fine-tuning or prompt engineering. It’s inspired by the Golden Gate experi... | 2025-12-25T23:18:18 | https://m.youtube.com/watch?v=F2jd5WuT-zg | Bakkario | m.youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1pvpifv | false | {'oembed': {'author_name': 'HuggingFace', 'author_url': 'https://www.youtube.com/@HuggingFace', 'description': 'Modify the behavior or the personality of a model at inference time, without fine-tuning or prompt engineering.', 'height': 338, 'html': '<iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/med... | t3_1pvpifv | /r/LocalLLaMA/comments/1pvpifv/steering_llm_behavior_without_finetuning/ | false | false | 40 | {'enabled': False, 'images': [{'id': 'Du7zeDzqswWAolCphXzRi_zj33jOeXB6IU0TL-7DQwc', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/Du7zeDzqswWAolCphXzRi_zj33jOeXB6IU0TL-7DQwc.jpeg?width=108&crop=smart&auto=webp&s=fb9fc1b91d0a4c21118cd548c688303c03d6f013', 'width': 108}, {'height': 162, 'url': '... | |
end of 2026, What’s the best local translation model? | 5 | it’s been about another year of development since the last big entries in this came out iirc, like qwen 30ba3b, and such,
it just needs to fit on a 5090 | 2025-12-25T23:10:54 | https://www.reddit.com/r/LocalLLaMA/comments/1pvpd87/end_of_2026_whats_the_best_local_translation_model/ | Capable-Ad-7494 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvpd87 | false | null | t3_1pvpd87 | /r/LocalLLaMA/comments/1pvpd87/end_of_2026_whats_the_best_local_translation_model/ | false | false | self | 5 | null |
Admins, can we create GPU memory tiers | 67 | As the title says, it happens often that there's people with RTX 6000 PRO commenting on RTX 3050 and the other way around without sometimes realizing what tier performance is expected, can we create a new set of tags that mark different GPU tiers based on VRAM & RAM richness (I suppose most of us use unified memory)
... | 2025-12-25T22:35:25 | https://www.reddit.com/r/LocalLLaMA/comments/1pvonzn/admins_can_we_create_gpu_memory_tiers/ | ScoreUnique | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvonzn | false | null | t3_1pvonzn | /r/LocalLLaMA/comments/1pvonzn/admins_can_we_create_gpu_memory_tiers/ | false | false | self | 67 | null |
METR long-horizon evals, “Activation Oracles”, and open models — are we just saturating benchmarks? | 3 | I’ve been looking at the recent METR task-length plots for Claude 4.5, and honestly I’m not sure if I’m overreading them — but a reported ~4h49m 50% success horizon feels like we’re starting to run past what current long-horizon evals were designed to measure.
What caught my attention more than the raw numbers was the ... | 2025-12-25T22:35:04 | Logical-Brief-5074 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1pvonqn | false | null | t3_1pvonqn | /r/LocalLLaMA/comments/1pvonqn/metr_longhorizon_evals_activation_oracles_and/ | false | false | default | 3 | {'enabled': True, 'images': [{'id': 'r82dqmeegf9g1', 'resolutions': [{'height': 63, 'url': 'https://preview.redd.it/r82dqmeegf9g1.jpeg?width=108&crop=smart&auto=webp&s=262e0e734c9a059b7a1710dec421b2aad0e777b2', 'width': 108}, {'height': 126, 'url': 'https://preview.redd.it/r82dqmeegf9g1.jpeg?width=216&crop=smart&auto=w... | |
Looking for a translation model around 800MB | 4 | Hello everyone,
I’m working on a local inference project with a **hard VRAM limit of 6 GB**.
Currently I’m using **Llama 3.1 8B Instruct (Q8\_K\_M, \~4.8 GB)**, which fits, but I’m running into **multilingual limitations**. Llama 3.1 is decent for EN + major EU languages, but it struggles with some of the languages ... | 2025-12-25T21:59:32 | https://www.reddit.com/r/LocalLLaMA/comments/1pvnyae/looking_for_a_translation_model_around_800mb/ | bayhan2000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvnyae | false | null | t3_1pvnyae | /r/LocalLLaMA/comments/1pvnyae/looking_for_a_translation_model_around_800mb/ | false | false | self | 4 | null |
Mac Mini M4 16GB: Any useful models? | 0 | Caved in on the deal at Microcenter and bought the basic Mac Mini M4 16gb for $399.
Does anyone run any useful models on that little RAM?
Found some 11-month old threads on this, but there had been a lot of progress since then, so wanted to check in on the current SotA.
I already have a 128GB M3Max laptop, but I tho... | 2025-12-25T20:24:30 | https://www.reddit.com/r/LocalLLaMA/comments/1pvm03k/mac_mini_m4_16gb_any_useful_models/ | Infinite100p | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvm03k | false | null | t3_1pvm03k | /r/LocalLLaMA/comments/1pvm03k/mac_mini_m4_16gb_any_useful_models/ | false | false | self | 0 | null |
I made a CLI to train LLMs in 2 commands (no PyTorch boilerplate) | 10 | Hey, I made a CLI to train LLMs super easily, instead of lots of pytorch boilerplate you just
cleanai --init-config config.json
cleanai --new --config config.json --pretrain --train
It's super easy to use, made in C with no ml libs, the source is available on GitHub along with an install script (https://githu... | 2025-12-25T20:21:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pvly0g/i_made_a_cli_to_train_llms_in_2_commands_no/ | NoHotel8779 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvly0g | false | null | t3_1pvly0g | /r/LocalLLaMA/comments/1pvly0g/i_made_a_cli_to_train_llms_in_2_commands_no/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': '6jvJJs_LSoP_AssxwbNEUqPxQ_FuFYpDX-kbCJpOB6c', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/6jvJJs_LSoP_AssxwbNEUqPxQ_FuFYpDX-kbCJpOB6c.png?width=108&crop=smart&auto=webp&s=7165410baf9c1e2cc546c3c324dda7ee7e249757', 'width': 108}, {'height': 108, 'url': 'h... |
I made a CLI to train LLMs in 2 commands (no PyTorch boilerplate) | 19 | Hey, I made a CLI to train LLMs super easily, instead of lots of pytorch boilerplate you just
```bash
cleanai --init-config config.json
cleanai --new --config config.json --pretrain --train
```
It's super easy to use, made in C with no ml libs, the source is available on GitHub along with an install script (https://git... | 2025-12-25T20:06:08 | https://www.reddit.com/r/LocalLLaMA/comments/1pvlm4x/i_made_a_cli_to_train_llms_in_2_commands_no/ | NoHotel8779 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvlm4x | false | null | t3_1pvlm4x | /r/LocalLLaMA/comments/1pvlm4x/i_made_a_cli_to_train_llms_in_2_commands_no/ | false | false | self | 19 | {'enabled': False, 'images': [{'id': '6jvJJs_LSoP_AssxwbNEUqPxQ_FuFYpDX-kbCJpOB6c', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/6jvJJs_LSoP_AssxwbNEUqPxQ_FuFYpDX-kbCJpOB6c.png?width=108&crop=smart&auto=webp&s=7165410baf9c1e2cc546c3c324dda7ee7e249757', 'width': 108}, {'height': 108, 'url': 'h... |
Minimax 2.1 still hasn't solved the multilingual mixing problem. | 9 | I've been using minimax 2.1 with OpenRouter, and the model's performance is satisfactory.
Furthermore, it's lighter than glm while maintaining its performance.
But here's the problem: they haven't yet solved the multilingual mixing problem.
Was the mixing problem a difficult problem for them? Or was it a trade-off w... | 2025-12-25T19:34:34 | https://www.reddit.com/r/LocalLLaMA/comments/1pvkxm3/minimax_21_still_hasnt_solved_the_multilingual/ | Bitter-Breadfruit6 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvkxm3 | false | null | t3_1pvkxm3 | /r/LocalLLaMA/comments/1pvkxm3/minimax_21_still_hasnt_solved_the_multilingual/ | false | false | self | 9 | null |
Pure Python library for extracting text from legacy Office files (.doc, .xls, .ppt) — built for RAG | 1 | [removed] | 2025-12-25T19:19:14 | https://www.reddit.com/r/LocalLLaMA/comments/1pvklv2/pure_python_library_for_extracting_text_from/ | Many_Camp2782 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvklv2 | false | null | t3_1pvklv2 | /r/LocalLLaMA/comments/1pvklv2/pure_python_library_for_extracting_text_from/ | false | false | self | 1 | null |
Locals LLMs unstable and buggy (Linux Mint) | 0 | Hey all, I am having problems with local LLms recently. I cannot tell if its an ollama issue or specifically open-webui.
Firstly: The models are very buggy, take almost a minute to process and are having problems returning outputs specifically with Qwen3-14B or any 'thinking' model in-fact. they take ages to load eve... | 2025-12-25T19:17:50 | https://www.reddit.com/r/LocalLLaMA/comments/1pvkkuc/locals_llms_unstable_and_buggy_linux_mint/ | OcelotOk5761 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1pvkkuc | false | null | t3_1pvkkuc | /r/LocalLLaMA/comments/1pvkkuc/locals_llms_unstable_and_buggy_linux_mint/ | false | false | self | 0 | null |
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