LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
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…
Please note: For commercial use, please refer to https://stability.ai/license
We introduce OLMo 2 32B, the largest model in the OLMo 2 family. OLMo 2 was pre-trained on OLMo-mix-1124 and uses Dolmino-mix-1124 for mid-training.
Building the Next Generation of Open-Source and Bilingual LLMs
Nous Hermes 2 - Yi-34B is a state of the art Yi Fine-tune.
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub
Llama3 Swallow - Built with Meta Llama 3
ONNX export of LFM2.5-1.2B-JP-202606 for cross-platform deployment via ONNX Runtime, Transformers.js, and the WebGPU stack. Same weights, same chat template — just compiled into ONNX graphs at multiple precisions, including a WebGPU-friendly INT4 + FP16 mix.
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub
🐙 GitHub • 👾 Discord • 🐤 Twitter • 💬 WeChat 📝 Paper • 💪 Tech Blog • 🙌 FAQ • 📗 Learning Hub