LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
Llama-SEA-LION-v2-8B SEA-LION is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
CodeGen is a family of autoregressive language models for program synthesis from the paper: A Conversational Paradigm for Program Synthesis by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong. The models are originally releas…
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🤗 HuggingFace 🤖 ModelScope 🪡 AngelSlim
Developed by : Upstage Backbone Model : LLaMA Variations : It has different model parameter sizes and sequence lengths: 30B/1024, 30B/2048, 65B/1024 Language(s) : English Library : HuggingFace Transformers License : This model is under a Non-commercial Bespoke License and governe…
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…
Genstruct 7B is an instruction-generation model, designed to create valid instructions given a raw text corpus. This enables the creation of new, partially synthetic instruction finetuning datasets from any raw-text corpus.
📰 Step3 Model Blog 📄 Paper
BaichuanMed-OCR-7B is a model fine-tuned from the Qwen2.5-VL-7B-Instruct with our constructed and curated medical report datasets consists of medical report images and related questions and answers (QAs). It has been specifically adapted to perform Optical Character Recognition (…
WeDLM-8B-Instruct is our flagship instruction-tuned diffusion language model that performs parallel decoding under standard causal attention, fine-tuned from WeDLM-8B.
0. TL;DR 1. Model Details 2. Training Details 3. Usage 4. Evaluation 5. Citation
This repository provides large language models trained by SB Intuitions.