Browse AI Models

Alibaba

> [!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. > >

Cohere

Command R+ is Cohere's most capable open-weight model for enterprise RAG workloads. Offers superior long-context reasoning, multi-step tool use, and grounded generation with citations across 10 languages.

DeepSeek

We present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. Through this continued pre-training, DeepSeek-Coder-V2 substantially enhances the coding and mathematical reasoning capabilities of DeepSeek-V2, while maintaining comparable performance in general language tasks.

DeepSeek

We 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.

Meta

Llama 4 Scout is Meta's efficient Mixture-of-Experts model with 17B active parameters across 16 experts. Supports a 10M token context window and natively handles text, images, and video inputs.

Alibaba

We introduce the updated version of the Qwen3-30B-A3B non-thinking mode, named Qwen3-30B-A3B-Instruct-2507, featuring the following key enhancements:

BigCode

StarCoder 15B is BigCode's flagship code generation model trained on 1 trillion tokens from The Stack. Supports 80+ programming languages with 8K context and strong code completion capabilities.

DeepSeek

DeepSeek-V2.5 is an upgraded version that combines DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct. The new model integrates the general and coding abilities of the two previous versions. For model details, please visit DeepSeek-V2 page for more information.

Microsoft

> [!IMPORTANT] > To fully take advantage of the model's capabilities, inference must use `temperature=0.8`, `top_k=50`, `top_p=0.95`, and `do_sample=True`. For more complex queries, set `max_new_tokens=32768` to allow for longer chain-of-thought (CoT).

Alibaba

Qwen3 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:

Mistral

Building upon Mistral Small 3.1 (2503), with added reasoning capabilities, undergoing SFT from Magistral Medium traces and RL on top, it's a small, efficient reasoning model with 24B parameters.

Mistral

from mistral_common.tokens.tokenizers.mistral import MistralTokenizer from mistral_common.protocol.instruct.messages import UserMessage from mistral_common.protocol.instruct.request import ChatCompletionRequest

OpenAI

GPT-OSS 20B is OpenAI's first open-weight model, a 21B-parameter mixture-of-experts model with 3.6B active parameters per token. Features configurable reasoning effort (low/medium/high), full chain-of-thought visibility, and agentic capabilities including function calling. Runs on devices with 16GB of memory using MXFP4 quantization.

Mistral

Mistral-Small-3.2-24B-Instruct-2506 is a minor update of Mistral-Small-3.1-24B-Instruct-2503.

Alibaba

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

BigCode

StarCoder 7B is BigCode's code generation model trained on The Stack v1. Supports over 80 programming languages with fill-in-the-middle capability and 8K context window.

Google

Gemma 2 27B is Google's largest Gemma 2 model, offering state-of-the-art performance among open models of similar size. Built on Gemini technology with strong reasoning, code, and multilingual capabilities.

01.AI

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