LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
[!NOTE] Note: " -Paddle " models use PaddlePaddle weights, while " -PT " models use Transformer-style PyTorch weights.
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https://huggi…
📣 News 📌 [08/19/2024] xGen-MM-v1.5 released: - 🤗 xgen-mm-phi3-mini-instruct-interleave-r-v1.5 - 🤗 xgen-mm-phi3-mini-base-r-v1.5 - 🤗 xgen-mm-phi3-mini-instruct-singleimg-r-v1.5 - 🤗 xgen-mm-phi3-mini-instruct-dpo-r-v1.5
💻Github Repo • 🤗HF Model Collections • 🤖ModelScope Collections • 💬Online Chat
Llama 3 Youko 8B Instruct (rinna/llama-3-youko-8b-instruct)
[Homepage] [Paper] [Discord] [Dataset] [Github]
Nous Hermes 2 Mixtral 8x7B SFT is the supervised finetune only version of our new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM.
Reinforcement learning (RL) (e.g., GRPO) helps with grounding because of its inherent objective alignment—rewarding successful clicks—rather than encouraging long textual Chain-of-Thought (CoT) reasoning. Unlike approaches that rely heavily on verbose CoT reasoning, GRPO directly…
MiniCPM 技术报告 Technical Report OmniLMM 多模态模型 Multi-modal Model CPM-C 千亿模型试用 ~100B Model Trial
A 15B-parameter token-mixer supernet with 8 optimized deployment presets spanning 1.0× to 10.7× decode throughput at 32K sequence length, all from a single checkpoint. Derived from Apriel-1.6 through stochastic distillation and targeted supervised fine-tuning.
Building the Next Generation of Open-Source and Bilingual LLMs
From Inquiry to Decision: Building Trustworthy Medical AI