Search: “local-ai”

[NEW MODELS!] Supra2-100M Base and Instruct - go check them out!

Hey guys! After a LOT of good feedback on our previous models like Supra-50M-Instruct and -Reasoning, many community likes, follows and upvotes we saw many community requests asking for new models. We

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OnlineCache: Learning Dynamic Caching Policies with Error Correction for Efficient Diffusion Inference

DGX agent

arXiv:2607.29398v1 Announce Type: new Abstract: Diffusion models have revolutionized generative tasks but incur high latency due to iterative denoising. While cache-based strategies accelerate inferen

local-aiarxiv-cs-lg

3 Aug 2026

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift

arXiv:2512.12816v2 Announce Type: replace Abstract: We study how to allocate resources for training and deployment of machine learning (ML) models under concept drift and limited budgets. We consider

Progressive Decision-Making for Localizing Open-Ended AI-Generated Image Forgeries

arXiv:2607.29156v1 Announce Type: new Abstract: AI-generated image forgeries are becoming increasingly realistic and difficult to characterize with fixed manipulation patterns. As generative models co

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems

arXiv:2607.29241v1 Announce Type: cross Abstract: Optimizing modern recommender models still depends heavily on engineers manually iterating over architectural, objective, and training-strategy change

Reflection or Re-Generation? Why LLM Revision Fails Where Human Revision Succeeds

arXiv:2607.28908v1 Announce Type: new Abstract: Reflection, the ability to revisit and revise prior reasoning, is central to how humans improve their answers. Large language models (LLMs) are increasi

Running gpt-oss:20b locally and grading it head to head against a frontier model on real tasks. It held up better than I expected

I serve a free local model on my Mac Mini and route real agent work to it. To check I was not fooling myself, I set up a blind grader that replays frontier tasks locally and scores both. https://previ

SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs

arXiv:2607.28969v1 Announce Type: new Abstract: Although Large Language Models (LLMs) have demonstrated promising safety performance, extending them to Multimodal Large Language Models (MLLMs) exposes

Small Is Enough: Per-User Style Rewriting of AI-Edited Text via LoRA Adapters

arXiv:2607.29238v1 Announce Type: cross Abstract: InMyStyle is a privacy first, single user system that adapts small language models to rewrite AI-edited text towards an individual user's writing styl

TacPrint: A Wearable Fingertip Tactile Sensor for Human-to-Robot Contact Reproduction

arXiv:2607.29231v1 Announce Type: new Abstract: Human-centric data collection is emerging as a significant paradigm for robot skill acquisition, but seamlessly integrating low-cost, scalable tactile s

local-aiarxiv-cs-ro

The desktop app UI is getting a massive upgrade. What's next on the roadmap?

I've been following the recent pull requests and saw that the desktop app is being transformed from a chat-only interface into a full management tool with a tabbed settings UI, a model manager, and a

Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning

arXiv:2607.29353v1 Announce Type: cross Abstract: With the ever-increasing pervasiveness of smart edge devices, the demand is growing for applications that can be tailored to users (e.g., custom keywo

WaiT for the Signal: Simple Frequency-Aware Flow-Matching

arXiv:2607.28760v1 Announce Type: cross Abstract: As image generation models scale to ever higher resolutions, global coherence, local detail, and texture fidelity become critical axes for generation

Who Wins Where? Conformal Model Comparison for Local Superiority

arXiv:2607.29053v1 Announce Type: new Abstract: Standard model comparison is global, aggregating losses across the covariate space to declare a single winner. This can obscure heterogeneous performanc

Xberg v1: a local, CPU-only document extraction engine for feeding an Ollama RAG (101 formats, OCR)

I maintain xberg, an open-source (MIT) document extraction engine, and v1 is out. Sharing here because a common piece of a local Ollama RAG setup is 'get clean text out of my PDFs/Office files/images,

Zero-Mem: Zero-Token Memory Operations for LLM Agents

arXiv:2607.29377v1 Announce Type: new Abstract: LLM agents need memory to act consistently over long interactions, yet many systems use additional LLM calls to operate that memory. Generating intermed

local-aiarxiv-cs-cl

Are you ready for Le Chaton FAT or still wasting money on GPUs?

According to rumors (spread by myself) Le Chaton FAT will be 26T-a3b and I AM READY for it. Let's be real, I can't afford that many 5060Ti, so I got 12x Gen 4 3.2 TB (two per card). This gives me abou

Got '403 Your account is currently unavailable' on Ollama Max after 2 weeks — No reply from support in 3 days. Anyone else?

Hey everyone, I'm reaching out to see if anyone else has run into a similar issue or if there's an alternative way to reach their team. I subscribed to the Ollama Max plan on June 17th. Everything was

I built a self-hosted studio that turns one reference photo into a curated, captioned, trained and tested LoRA — one browser tab, open source, MIT

I shared this tool here a week ago and the feedback shaped a big new version, so here's the full tour of what it does today. Screenshots of every screen: github.com/perfectgf/lora-dataset-studio — plu

Is training a WAN Lora going to fix the identity shift in I2V?

Using a character Lora image from Krea2 as my first frame but even for a subtle camera move there is identity loss immediately. Will training a character Lora for Wan2.2 help fix it? I've never traine

It looks like MiniMax H3 uses Qwen3-VL-32B as Text Encoder and has has a split Transformer

I'm trying to get more hints from this PR in comfyui github https://github.com/Comfy-Org/ComfyUI/pull/15210 but from what I've gathered so far it looks: It uses Qwen3-VL-32B as the encoder (50 layers

The $0.01 meeting assistant Records meetings on his phone, sends the audio to Telegram, and his locally-hosted AI agent transcribes, identif…

The $0.01 meeting assistant Records meetings on his phone, sends the audio to Telegram, and his locally-hosted AI agent transcribes, identifies speakers, extracts action items, and files tasks -- for

local-airowan-cheung--x

Try handling complex tasks to your local models with GraphARC, graph engineering yes !

🚀 We just built our first real-time implementation of Graph Engineering, inspired by our experience building graph tooling used by 4,000+ developers. 🔗 Repo: https://github.com/CodeGraphContext/grapha

Trying to setup two LLM’s to run on 2 gpus separately but simultaneously on one machine.

Okay so this probably sounds like kind of a dumb setup but hear me out. I have a 4070 I’ve been running gemma4 off fine but I recently slapped in a spare 1650 I’ve had laying around to run a second li

When did Ollama become so cool with non self hosted models?

It feels like Ollama’s brand identity has shifted. It used to be centered on self‑hosted models, but now most of the new releases seem to be API‑based services with far more emphasis on cloud integrat

Best free tier cloud models?

I'm currently using the gemma4:31b-cloud, and it is pretty good, but sometimes it gets confused. Are there more free tier models out there I should try out? or is gemma4 the cap of free tier cloud mod

For MoE models the arithmetic splits in two: capacity follows total params, speed follows active

A few people asked for this after the bandwidth thread, so here it is on its own instead of buried in a comment. The dense rule was simple: every token reads every weight, so tokens/sec ≈ bandwidth ÷

Huawei 96gb

Ciao a tutti ho appena comprato 4 Huawei duo 96 GB a poco più di 4mila euro qualcuno ha già utilizzato CANN consigli da darmi? E la prima volta che utilizzo questo framework e non so proprio da dove i

I built Vao2, an open-source personal feed for News, YouTube, GitHub and more with local AI summaries

GitHub: https://github.com/Loann110/Vao2 Hello everyone, I’m currently developing Vao2, an open-source application that brings together news, YouTube channels, GitHub repositories and more (to be adde

Local Ollama models

Hello all - i just got a new mac mini with 24GB of RAM and wanting to run local AI for Home Assistant and Hermes. I have been struggling to find a snapy model that will work with my machine. Currently

You've reached your usage limit, please upgrade to continue

I am a pro subscriber and have 0 usage, yet I cannot even chat with Ollama because of the message in the title that I keep receiving. This is ridiculous. Anyone else experience this issue and have a s

AI DOOMERS BE LIKE: 'GLM 5.1 WILL WIPE OUT HUMANS IN 2030'

I swear some AI doomers have never actually used a local model. They watched one flashy keynote, one YouTube thumbnail with a guy making this face 😱, read three headlines, and suddenly civilization is

AlphaSchema: Exploring the Space of Trading Semantics for LLM-Based Alpha Mining

arXiv:2607.26642v1 Announce Type: new Abstract: Automated alpha mining has increasingly adopted large language model (LLM) agents for factor generation and iterative discovery. However, existing LLM-b

Auto Research for Materials: Auditable AI-Scientist Workflows with Held-Out Transfer

arXiv:2607.17100v2 Announce Type: replace-cross Abstract: Auto Research uses language-model agents to propose, implement, and evaluate machine-learning changes in a closed loop, but is usually judged

Beyond the Best Teacher: Expanding and Compressing the Reasoning Solution Manifold

arXiv:2607.27770v1 Announce Type: new Abstract: A single reinforcement-learning run can produce a strong reasoner yet an incomplete teacher: it often amplifies only a subset of the valid solution mode

Can Vision-Language Models Reason about AI Edits in Images?

arXiv:2607.28464v1 Announce Type: new Abstract: Detection and localization of AI-tampered images are critical for trustworthy AI, yet modern generative models have made such manipulations increasingly

Capturing Token Tendencies for Training-Free Token Pruning in Multimodal Large Language Models

arXiv:2607.28341v1 Announce Type: new Abstract: While visual token pruning is essential for efficient Multimodal Large Language Models (MLLMs), existing training-free methods suffer from a critical li

'Chromea', a Chroma-based lora for Krea2 training currently and is already very usable.

Huggingface direct download: https://huggingface.co/estrogen/silveroxides-Chromea_LoRA Just got pinged on Lodestone's discord server and it is a much better alternative to Mystic and other uncensor lo

Cloud CISO Perspectives: Why AI Threat Defense is the new boardroom baseline

Welcome to the second Cloud CISO Perspectives for July 2026. Today, Chris Betz, CISO, Google Cloud, and Alicja Cade, Senior Director, Office of the CISO, Google Cloud, explain what boards of directors

local-aigoogle-cloud-ai

Compact Task-Aligned Imitation Learning for Laboratory Automation

arXiv:2603.01110v2 Announce Type: replace Abstract: Robotic laboratory automation has traditionally relied on carefully engineered motion pipelines and task-specific hardware interfaces, resulting in

local-aiarxiv-cs-ro

Could we all crowdsource a dataset/model/finetune?

I know it’s been discussed to try to make our own model through crowdsourcing, but finetuning seems like it would be even easier. We could edit and proofread and write our own datasets at a large scal

DinoLizer: Separating VAE and Diffusion Artifacts in Generative Inpainting Localization

arXiv:2511.20722v2 Announce Type: replace Abstract: We introduce DinoLizer, a DINOv2-based localizer of manipulated areas in generative inpainting. The model is trained to focus on semantically altere

Emulating Cosmic Structure Formation with a Lagrangian Neural Cellular Automaton

arXiv:2607.27320v1 Announce Type: cross Abstract: Field-level inference of cosmological initial conditions from galaxy surveys requires a forward model that is simultaneously accurate in the non-linea

Explaining Image Similarity with Automatically Extracted Concept Activation Vectors

arXiv:2607.28386v1 Announce Type: new Abstract: Image similarity underlies many computer vision applications, yet it is often unclear why two images receive a high or low similarity score. Existing ex

FeatFix: Reuse What You Verify through Local Exact-Feature Correction for Faster Cached Diffusion Inference

arXiv:2607.27842v1 Announce Type: new Abstract: Diffusion models are widely used to generate high-quality images and videos, but their iterative denoising process remains computationally intensive. A

First-order Constrained Trilevel Optimization Over Distributed Networks for Robust Coreset Selection

arXiv:2607.27632v1 Announce Type: new Abstract: With the rapid advancement of the Internet of Things (IoT), massive amounts of data are generated across distributed edge networks. Training models on f

I built a hybrid Transformer–SSM LLM agent with a local CLI, active control, and run receipts

I’m one of the builders of LOLM, a hybrid Transformer–SSM model and agent system from Qira. The model separates surface token processing from persistent latent-state tracking. An NFET controller can s

Is Ornith 1.0 9B Reliable Enough for Complex Backend Development?

Hey folks, is anyone currently using Ornith 1.0 9B for serious or complex backend development? I’m working on three different applications: A multi-vendor e-commerce platform with a Node.js backend A