Search: “models”

Has anyone followed nousresearch work on Hermes? I mean we are Q3 2026. We have some crazy models trickling down from HGX territory to multi gpu workstation. And we have nousresearch deploying the 0.2

Hey there! So today we're releasing SupraBrain-50M, a hybrid language model that combines Gated DeltaNet linear recurrence with Sliding-Window Attention and Surprise-Gated update mechanisms to deliver

TensorSharp supports DSpark on Deepseek v4 Flash 0731 now. Here is the benchmark result on 4x Nvidia A40 GPUs, cuda 12.8 with/without DSpark: Model: DeepSeek-V4-Flash-0731-UD-Q8_K_XL from https://hugg

The biggest issue with preview was its inability to follow rules prompts and skills. It seems like no matter what you do it ignores them. I've tried first person and second person. I've tried Chinese

Laguna 2.1 at NVFP4 Deepseek v4 at Q2 Inkling-Small at IQ3 Which models you guys running now ? How it compares to 122b? Upcoming in few days : Ling 3.0 124B (Could be new king) LongCat 69B A3B ( very

https://huggingface.co/skt/A.X-K2 https://huggingface.co/skt/A.X-K2-ALM https://huggingface.co/KRAFTON/A.X-K2-Raon-Speech-21B-A3B 688B-A33B + About South Korea's Soverign AI Foundation Model Project.

I know this is the 1000000th new sub billion parameter model out there and probably isn't as good as Qwen 3 0.6B or Qwen 3.5 0.8B but it still packs a decent punch. My intention to to continuously pre

Everyone is talking about Kimi K3, but if you jump straight into the technical report, you’ll quickly realize it’s standing on years of research -- just like any breakthrough is! If you want to unders

https://github.com/woct0rdho/transformers5-qwen3.5-recipe An update on my progress with low-VRAM LoRA training over GGUF base model: Now we can train DeepSeek-V4-Flash (284B-A13B) in 90 GiB VRAM, with

I was very curious why all the models were topping out on GPQA-Diamond around 92 or 93% (AA) and spent the last few weeks pouring over GPQA (Diamond and Extended), and then expanded to auditing MMLU-P

Test Prompts: 1.1. Algorithm & Logic (10 pts): 'Write a function in Python that finds the contiguous subarray with the largest sum (Kadane's algorithm). Include time and space complexity annotations.'

Hey folks — I built ContextMemory, an open-source agentic context gateway for apps that already talk to LLMs. The idea is simple: keep your existing POST /api/chat client (Ollama wire format), point i

I've been building Krasis, an MoE-focused runtime for streaming big models through limited VRAM on NVIDIA consumer/workstation GPUs, and I think this is the most interesting result so far: Ornith-1.0-

Someone modelled sugarcane farming as an integer program. See, sugarcane only grows next to water. Water costs one tile and can feed at most four cane tiles. The layout therefore becomes a coverage pr

TLDR: I (with the help of AI) re-implemented every Blackwell-only kernel (DeepGEMM, FlashInfer sparse-MLA, block-scaled FP8) in Triton, because they simply don't exist for sm89. The performance is 2-3

The interesting finding from a new [arXiv paper](https://arxiv.org/abs/2607.16165) isn't that a frontier vision model failed a new benchmark, that happens weekly, but the specific shape of the failure

In the past few months I’ve experimenting heavily and tortured my old 2016 Desktop PC to run the biggest Local LLM I can fit. I documented the whole process and research and I’ve published a repositor

Today an AI agent trying to browse the web is like a thief in a balaclava sneaking around a police academy. Site protections block it, challenge it, turn it away. browser-search flips the script: your

Paper:https://arxiv.org/abs/2607.19058 Code (GitHub):https://github.com/nuemaan/skewadam Hi everyone, I just published a preprint on a new optimizer designed to tackle the massive VRAM bottleneck in M

Hey r/LocalLLaMA — solo researcher here. I built a new attention architecture and want independent testers. Wave Field LLM replaces O(N²) dot-product attention with FFT wave convolution on a field. Tr

Arena AI's agentic benchmark ranks AI models on how well they orchestrate tools for real-world agentic tasks, based on signals like tool reliability, task completion, and steerability. The leaderboard

A security researcher spent 1,500 running 13+ AI models against a deliberately vulnerable app, with GPT-5.5 achieving a 70% solve rate while Gemini refused to engage almost entirely. The test app cont

NuExtract3 is a unified 4B vision-language reasoning model for document understanding that combines structured information extraction with image-to-Markdown conversion, suitable for OCR and RAG prepro

G4-MeroMero-31B-uncensored-heretic is a fine-tuned variant of Gemma 4 31B optimized for creative tasks, featuring low KL divergence (0.0100) and minimal refusals (15/100). The model is designed to be

This work presents an explainability library for transformer models that provides tools for understanding transformer behavior through attributions and concept-based explanations . The resource likely

Stable Diffusion 2.0 is an open-source text-to-image model that includes improved text-to-image capabilities using the OpenCLIP encoder, generating higher quality images at resolutions of 512x512 and

FLUX 2 Dev is an open-weight, 32-billion-parameter AI model developed by Black Forest Labs for text-to-image generation and advanced image editing . The model is available in ComfyUI and Diffusers fra

This Reddit post discusses the challenge of manually editing tag files (.txt) when training a LoRA (Low-Rank Adaptation) model for Illustrious, noting that while CivitAI's LoRA trainer offers a conven

DeepSeek-V4-Pro is a Mixture-of-Experts language model with 1.6 trillion total parameters and 49 billion activated per token, supporting a 1 million token context length. Released under the MIT Licens

An MCP bridge project that enables integration between AI coding tools (Kiro, Claude, and Cursor) and local Ollama instances for offline model inference. The bridge facilitates communication between t

A Reddit thread from r/StableDiffusion discussing the release and community reception of LTX-Video's distilled 1.1 model, developed by Lightricks. LTX-Video is described as the first DiT-based video g

A Reddit thread from the r/ollama community where a user seeks assistance with the initial setup and configuration of Ollama, a tool for running large language models locally. The discussion likely co

Ostris' AI Toolkit is an all-in-one training suite for diffusion models , and Nucleus Image has been added to the list of supported models . The toolkit can be run as a GUI or CLI and is designed to b

The Reddit post about NucleusAI/Nucleus-Image appears to be a community showcase of sample outputs from a text-to-image generative AI model called Nucleus-Image, developed by NucleusAI. The post is sh

Ollama is a local inference engine designed for running pre-built LLMs on your own machine, and it does not include fine-tuning capabilities — this distinction is correct. Unsloth (and its Unsloth Stu

ERNIE Image Turbo is an open text-to-image generation model developed by Baidu's ERNIE-Image team, serving as the distilled release of the full ERNIE-Image model and built on a single-stream Diffusion

This Reddit thread from r/ollama features a user seeking community recommendations for motherboard, CPU, and RAM components to build a system optimized for running Ollama locally without a dedicated G

AnimaYume is a text-to-image model fine-tuned from Anima, a 2-billion-parameter anime-focused image generation model developed by CircleStone Labs in collaboration with Comfy Org, which is itself buil

This Reddit post from r/StableDiffusion discusses a community comparison or showcase involving a 'Zit LoRA' — a Stable Diffusion LoRA model — examining how it performs differently when applied to face

A Reddit post from the r/ollama community discussing a free alternative to paid AI API services, likely centered around using Ollama to run large language models locally. The post probably highlights

This Reddit post from r/ollama discusses integrating Ollama-served Mistral with MemPalace — a free, locally-run AI memory system — via the Model Context Protocol (MCP). MemPalace runs entirely on a us

This Reddit thread from r/ollama discusses a user's difficulty achieving a satisfactory local AI coding assistant setup using Ollama on a MacBook Pro M3 Max with 36GB of unified memory. The discussion

This Reddit post discusses a LoRA trained to emulate the style of digital artist Greg Rutkowski, built on top of Circlestone Labs' Anima model — a 2 billion parameter text-to-image model created via a

This Reddit thread from r/StableDiffusion discusses community experiences using ControlNet Tile upscaling in combination with Z-Image-Base, a Stable Diffusion base model. ControlNet Tile models are of

The 'Z-Image Turbo Checkpoint - Deedeemegadoodo Edition' is a community-shared checkpoint on r/StableDiffusion based on Z-Image Turbo, a distilled version of Z-Image, a 6B image model developed by the

This r/StableDiffusion thread discusses how to fine-tune the LTX-Video 2.3 model on a personal dataset, with the primary approach being LoRA (Low-Rank Adaptation), which fine-tunes a large AI model on