328 models available
AllenAIOLMo 2 13BOLMo 2 13B is AI2's fully open research model with transparent training data and methodology. Designed for reproducible research with competitive performance on reasoning and general knowledge tasks.
AlibabaQwen 2.5 Math 7B> [!Warning] > > > 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks. > >
HuggingFaceSmolLM3 3BSmolLM3 is a fully open 3B-parameter language model with dual-mode reasoning, 128K context via YARN extrapolation, and native support for 6 languages. Pretrained on 11.2T tokens with a staged curriculum of web, code, math, and reasoning data. Post-trained with 140B reasoning tokens and Anchored Preference Optimization.
DeepSeekDeepSeek R1 Distill 8BWe introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing.
TIIFalcon 40B InstructFalcon-40B-Instruct is a 40B parameters causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize. It is made available under the Apache 2.0 license.
InternLMInternLM 7BInternLM has open-sourced a 7 billion parameter base model tailored for practical scenarios. The model has the following characteristics: - It leverages trillions of high-quality tokens for training to establish a powerful knowledge base. - It provides a versatile toolset for users to flexibly build their own workflows.
MosaicMLMPT-30B-InstructMPT-30B Instruct is MosaicML's large instruction-tuned model offering strong reasoning and generation quality. Features 8K context with ALiBi encoding and efficient inference optimizations.
AlibabaQwen 3 8BQwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features:
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