LLM Models · Open Source
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
ZwZ-8B is a fine-grained multimodal perception model built upon Qwen3-VL-8B. It is trained using Region-to-Image Distillation (R2I) combined with reinforcement learning, enabling superior fine-grained visual understanding in a single forward pass — no inference-time zooming or to…
Overview rinna/youri-7b-chat-gptq is the quantized model for rinna/youri-7b-chat using AutoGPTQ. The quantized version is 4x smaller than the original model and thus requires less memory and provides faster inference.
Medical-Qwen3-Swallow-32B is a medical-domain language model based on tokyotech-llm/Qwen3-Swallow-32B-RL-v0.2. It is designed to support research and development toward safe and trustworthy AI for Japanese clinical settings.
1. Model Summary 2. Use 3. Limitations 4. Training 5. Evaluation 7. Citation
Model Introduction We introduce LongCat-Flash, a powerful and efficient language model with 560 billion total parameters, featuring an innovative Mixture-of-Experts (MoE) architecture. The model incorporates a dynamic computation mechanism that activates 18.6B∼31.3B parameters (a…
Note: Users are permitted to use this model in accordance with the Llama 3.1 Community License Agreement.
Our Swallow-MS-7b-v0.1 model has undergone continual pre-training from the Mistral-7B-v0.1, primarily with the addition of Japanese language data.
Tiny Language Model that thinks in Japanese
This repository provides Japanese language models trained by SB Intuitions.
Qwen3-Swallow v0.2 is a family of large language models available in 8B , 30B-A3B , and 32B parameter sizes. Built as bilingual Japanese-English models, they were developed through Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement Learning with Verifia…
An alternate Meta-Llama-3-8B Repo for the Hermes Tokenizer