LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
SingGuard-NSFA: Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
From Inquiry to Decision: Building Trustworthy Medical AI
Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data. The tuned versions use supervised fine-tuning (SFT). Links to other models can be found in the index.
The GLM family welcomes new members, the GLM-4-32B-0414 series models, featuring 32 billion parameters. Its performance is comparable to OpenAI’s GPT series and DeepSeek’s V3/R1 series. It also supports very user-friendly local deployment features. GLM-4-32B-Base-0414 was pre-tra…
🌐 Github 🤗 Huggingface Space 📄 Technical Report 📜 arxiv paper
📣 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
This is a 7B-parameter decoder-only language model with a focus on maximizing Japanese language modeling performance and Japanese downstream task performance. We conducted continued pretraining using Japanese data on the English language model, Mistral-7B-v0.1, to transfer the mo…
BFS-Prover-V2: Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers
Gemma-2-Llama-Swallow series was built by continual pre-training on the gemma-2 models. Gemma 2 Swallow enhanced the Japanese language capabilities of the original Gemma 2 while retaining the English language capabilities. We use approximately 200 billion tokens that were sampled…
Nous-Yarn-Llama-2-13b-128k is a state-of-the-art language model for long context, further pretrained on long context data for 600 steps. This model is the Flash Attention 2 patched version of the original model: https://huggingface.co/conceptofmind/Yarn-Llama-2-13b-128k
Nous-Yarn-Llama-2-7b-64k is a state-of-the-art language model for long context, further pretrained on long context data for 400 steps. This model is the Flash Attention 2 patched version of the original model: https://huggingface.co/conceptofmind/Yarn-Llama-2-7b-64k
💻Github Repo • 🤔Reporting Issues • 📜Technical Report