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Would a 2nd hand custom built 2080 Ti 22GB vram be worth it? How usable would it be with ComfyUI? Or maybe even 2 pcs with NVLink? Can large models, like Wan2.2 be split with NVLink like it's 44GB, or will it always be 22GB for 1 model, and 22GB for another model (encoders, CLIP, anything else)?

This Reddit post discusses the viability of using second-hand custom-built RTX 2080 Ti GPUs with 22GB VRAM for running Stable Diffusion models in ComfyUI, including whether two cards could be linked v

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4 May 2026

Search: “models”

Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc

Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling

Another new idea to push the state of AI architectures forward. Sakana released a model that effectively uses a mixture of models to get wor…

Big day for American open models... Nemotron 3 Ultra is now the strongest US open-weight model tested, while apparently serving 300+ tok/s …

Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams

Bridging What the Model Thinks and How It Speaks: Self-Aware Speech Language Models for Expressive Speech Generation

OpenDocRouter makes it dead-simple to start parsing your documents across on ton of frontier Models (gemini, luna) and latest OSS models (Li…

Microsoft unveils Microsoft-Decision-1, a fast decision-scoring model trained on Qwen3.5-9B, and says it will soon rebase it on MAI, OpenAI, and other models (Achint Srivastava/Command Line)

.@Cloudflare's decision models are available on Ollama! Decision models allow you to classify an image, label a bug report or route a suppor…

🎵 Wave of distillation 🎵 US labs say Chinese labs distill their models. And Europe's new “sovereign model” is fine-tuned on data generated…

Pay attention to this new wave of System One models if you are building custom harnesses. First Jev. Now, Contrastive Language Model (CLM). …

Banger paper from Meta. This work shows that byte-level models start out behind token models and then pass them as compute grows. They show …

StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models

Just Noticeable Difference Modeling for Token Compression in Vision-Language-Action Models

World models of environment, agent and joint agent-environment systems

Models for minimalist RAG: B1ade 335M Embedding and 1B Parameter Small Language Models

Unifying Adversarially Robust Model Experts in Vision-Language Models

Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting

Base Models Know How to Reason, Thinking Models Learn When

WorldBagel: Uncovering the Power of Unified Multimodal Models for Vision-Language-Action-World Modeling

Knowledge Distillation from Large Reasoning Models to Compact Student Models: A Case Study on the John O Bryan Mathematics Competition

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models

IMWM: Intuition Models Complement World Models for Latent Planning

Would a 2nd hand custom built 2080 Ti 22GB vram be worth it? How usable would it be with ComfyUI? Or maybe even 2 pcs with NVLink? Can large models, like Wan2.2 be split with NVLink like it's 44GB, or will it always be 22GB for 1 model, and 22GB for another model (encoders, CLIP, anything else)?

Pre-trained Large Language Models Learn Hidden Markov Models In-context

Qwen3.6 and gemma 4 just shown that we were still far from capability limit on small models, we still are. Huge models are good, but is ther…

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization

llama.cpp optimizations for specific hardware and models

One Model to Loop Them All: Elastic Latent Recurrence for Language Models

Image-Based Breast Implant Detection for Mammography Dataset Curation and Near-Real-Time Deployment: Comparing Foundation Models and Task-Specific Convolutional Models

QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code

Large Language Models for Model-Based Robot Design

Introducing FireRouter with Opus. Our first router model. Routine tasks go to top open models, Claude Opus handles the rest. Cache and task-…

Model personality matters in a way that benchmarks can't capture. Opus models went through a rough patch from around 4.7 to 5 where they jus…

the reason i'm excited about decision models: agentic systems are just good engineering around models. 'build prod, not god' these types of …

Humain launches humain-m3, an Arabic-language model developed with MiniMax, amid controversy among US allies over sovereign AI built with Chinese models (Bloomberg)

Don't count out Gemini just yet. Feels like a new era of model releases. Models are so powerful that they now come with cyber variants. Love…

EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction

Prinz has been running legal benchmarks against AI systems and the latest models are very good... but cheaper/low reasoning models are not v…

Beyond Executable Models: The Pufibara Agent Harness and the Modelica Agent Workflow Benchmark for Physical System Modeling

MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models

LLMs as a Jury: Cross-Model Consensus Can Outperform Process Reward Models for LLM Reasoning

After evaluating one of our upcoming models, Astra, we're treating it as our first 'critical' model for cybersecurity under our Preparedness…

Mergeable Model-Side Aggregation States for Long-Context Language Models

Kimi K3 in the next few hours. Deepseek V4 GA later in the week. New Liquid models. New Mistral models sometime this month. And some rumours suggest GLM 5.5 is coming in August. Openweight AI is eating good.

🚀langchain launches this week: all about open source models and memory! First: open source models. We partnered with @NVIDIAAI to launch a …

Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism

OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale