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I needed a relatively simple but acceptable level of AI for working on one project. I didn't have any heavy requests, I just needed to give the AI access to the project files so it could search throug

AI tools have given us a lot of slop research, but I'm not talking about that. I'm talking about real productivity acceleration due to AI tools (E.g. iterating ideas that would've taken multiple days

I’ve used both ChatGPT and Gemini, and lately I’m consistently getting better results from ChatGPT — especially with prompt following, realism, composition, and text. The improvement over time is hone

Play it right in your browser, no download. Some of the GLB’s are messy, but overall I’ve enjoyed playing with it, and the last iteration made was the gun/weapon placement. Contributors are welcome, w

Although I do not completely understand what the big deal is with Jev, it reminded me of something I implemented in mt_llm (which is build around the great llama.cpp) a while back to use a relatively

Since Ollama Cloud switched their plans to token-based pricing, did they start reporting cache read tokens, or their claim about 'transparency' was just PR? I was thinking about getting a subscription

Hey everyone! I want to share the results of a small language model architecture experiment I’ve been running as a side project. The ultimate goal is to test an approach to reduce the number of the mo

Screenshot of heavy load. I did offload vision to a spare 2060 instead of local ram. The control panel was generated with qwen3.8-27b davidau q4k_m max mtp. Made the panel from scratch over a week, ba

Hello, I know some of us may be tempted to rent out our expensive GPUs to recoup some of the cost of self-hosting, and it should be obvious that this can be a risky decision. I decided to try hosting

full disclosure, i am the developer of locally uncensored :) i use ollama myself and honestly ollama was never really the problem. the problem was everything around it. one app for local chat, another

Top 3 papers on HF Daily Paper are all unusually delightful and interesting reads for anyone on the leading edge of local LLMs, agent harness optimization, etc, felt like sharing. DeepSeek-V4.1-Flash:

I did a small test of the new hyped quantisation of Qwen3.8 vs the biggest quant which fits into my limited 16GB VRAM with decent context. The results are interesting. Of course, the smaller file give

TL;DR: I run a mismatched Tesla V100-PCIE pair—one 16 GB card and one 32 GB card, 48 GB total—in a Proxmox/LXC-based local-inference lab. The practical winner so far is a recent CUDA build of llama.cp

I wanted to really see how a neural network learns different functions, so built an interactive demo. You can change the architecture of the network and the function it will try to approximate. A full

I improved the TPS of Gemma 4 31B. Improving TPS and performing optimisations requires understanding of the model architecture, and I had to fork VLLM and apply my own patch to break into making a con

https://preview.redd.it/j13iin0jsfqh1.png?width=1129&format=png&auto=webp&s=3efdd2ad5c10de908aed1a673a6c7e6440177c09 https://preview.redd.it/k3fsrdspzfqh1.png?width=391&format=png&auto=webp&s=1c817687

Hi just wondering has anyone submitted anything to JMLR before? Especially in the last 2 years? What is the experience like? Background: I am a Comp Sci PhD student, but my secondary supervisor (the o

I would like to stay at q4, and serve the model to various coding harnesses. None of the models or tools I have tried will run without running out of memory. I am hoping for some advice. oMLX? MTPLX?

Okay, this one seems probably really odd (or maybe not), but most harnesses operate within token spaces. That is, every tool output, even batching of tool outputs, go back up into inference calls. Lea

Da un po mi sono ritrovato in garage un hp z840 da 64gb ddr5 montate (ora) e 2 processori con una gpu un po scarsina una nvidia quadro k680 (da aggiornare) avrei bisogno di un consiglio: quale modello

I’m one of the co-founders of NYX AI. It’s a Windows app that connects to local models through Ollama/lm studio or supported cloud providers, giving AI tools to work with documents, previews, spreadsh

The math don’t math. I’m paying way more on ollama for glm5.3 flash games Han I am on Openrouter. I made 153 requests for 47cents on Openrouter. On ollama it was 147 requests for $1.67. Math dont math

Hi r/MachineLearning, I built OpenTrainDNN, a browser-based tool designed to visually show how backpropagation and neural network training actually work step-by-step. Why I built it While there are th

Given the recent interest in tools like Jev, I wanted to share ProgramAsWeights (PAW), an open-source research project I'm working on at the University of Waterloo. You describe a text function in Eng

This post is a follow up to this other post where I let Qwen 3.8 run for 63 hours autonomously to try to solve the Riemann hypothesis: https://www.reddit.com/r/LocalLLaMA/comments/1wi9fau/qwen_38_27b_

The goal of this post is 2 fold. First, I wanted to show what a local model like Qwen 3.8 27B running on a single RTX 5090 GPU in a harness like Row-Bot can do. Second, I wanted to create a full featu

I was somewhat disappointed with the performance of Qwen 3.8 Flash Next on my single RTX 5090 using llama.cpp. One issue is that llama.cpp still has no Expert Caching implemented for MoE models. There

Meet Inco Splash, open-source inference engine, built around the model and around Apple silicon. Up to 3× the decode speed of Ollama, 2× oMLX, and almost 4× when an agent fans out into sub-agents. Req

Hi. I saw some feedback that halogen was degrading at context depth. So I fixed that. Served through the image, same machine, same session, same prompts, 0.11.10 vs 0.12.0: decode at 1,004,581 tokens

https://en.gamegpu.com/news/zhelezo/radeon-rx-10800-xt-mozhet-obojti-rtx-5090-na-15-25-v-igrakh-v-v-4k-i-lokalnom-ii The more competition, the better! submitted by /u/Lumpy_Phase_9539 [link] [comments

Since OpenAI retired SWE-bench Verified in February (every frontier model tested could reproduce reference fixes for some tasks; underspecified tests rewarded knowing the intended fix), I've been tryi

Sharing my ML learning repo — NumPy to Transformers, 5 months, daily commits, all notebooks public. Covers the full stack: - Classical ML (scikit-learn, XGBoost) - Deep Learning (TensorFlow/Keras — AN

onPanda is designed for geeks, power users, curious minds, and engineers. Its UI is built for deep exploration and efficient data annotation. - The core loop is simple: hover over a token → click an a

I decided to run prism-ml/Ternary-Bonsai-2-27B-PQ2_0 through my own set of UNSCIENTIFIC benchmarks. I needed something to compare it to, so I decided I would compare with another 27B model by filesize

Note: This writeup was put together with the help of AI. So I've got dual AMD MI50 32GB cards. If you know these cards, you know the story - AMD dropped official ROCm support for gfx906 after ROCm 5.7

Oh My Pi + vLLM on two 3090s. Average wait per turn went from 28s to 7s, mostly from changing omp settings: explicit effort level on every role (unset ones defaulted to xhigh) thinking_token_budget of

Took me a while since I'm on a family trip and have limited hardware, but here it is! Von: Open-source 'System One' drop-in replacement for TypeSafe's JEV. https://github.com/wfzyx/von https://hugging

EDIT: Upvotes and downvotes are appreciated, but I'd especially welcome substantive replies. I'm genuinely interested in understanding the discrepancy, and the post is tagged 'Serious replies only' fo

I'm still using LLM's the 2022/23 way of doing everything manually from the chat box. I copy and paste everything manually into the box and ask the AI to explain or do something, such as pasting code

I was wondering if there are any good coder models for 8GB VRAM RTX 5060. My specifications: 8GB RTX 5060 8GB DDR4 RAM 256 GB SSD I know the configuration is a bottleneck for sure. Though I don't have

I have always posted about budget builds on here, and often asked how we are going to run the next big models. Often Plenty of downvotes too or folks telling me that it's not running if I'm getting 5t

I have this idea I'd like feedback on. most camera footage for training, is sunny daytime, because that's what cameras record most of the time. The edge cases models actually struggles with, like nigh

bonsai claim 98.2% intelligent retained, but their own documents show Ternary Bonsai 2 27B reaches 52.8 and 60.8, respectively, compared with 69.7 and 80.6 for Qwen3.5-27B, retaining roughly three qua

Planning, coding, testing = 8h total. Stack: VSCode Copilot in autopilot mode + SGLang Stats: ∼10k lines generated, ∼800k tokens consumed Sure, it's not GPT-6 Astra level, but for a 100% local ∼180B M

According to people familiar with the matter, Naive AI, an AI startup founded in February this year by Tsinghua University professor Dai Jifeng, has completed three funding rounds totaling 400 million

So I know that Ollama is built on top of llama.cpp, I decided to run a model on both and applied settings on llama.cpp like flash attention and q8/q4 kv cache. On Ollama (using the Python package) I w