84 models available
DeepSeekDeepSeek R1 671BWe 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.
MistralDevstral 2 123B InstructDevstral is an agentic LLM for software engineering tasks. Devstral 2 excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE-bench.
Moonshot AIKimi K2.5Kimi K2.5 is Moonshot AI's advanced reasoning model with strong performance in math, coding, and multilingual tasks. Features long-context understanding and agentic capabilities for complex multi-step problem solving.
MistralMistral Large 3Mistral-Large-Instruct-2411 is an advanced dense Large Language Model (LLM) of 123B parameters with state-of-the-art reasoning, knowledge and coding capabilities extending Mistral-Large-Instruct-2407 with better Long Context, Function Calling and System Prompt.
MistralMistral Small 4 119BMistral Small 4 is a powerful hybrid model capable of acting as both a general instruction model and a reasoning model. It unifies the capabilities of three different model families—Instruct, Reasoning (previously called Magistral), and Devstral—into a single, unified model.
AlibabaQwen3-Coder 30B A3B InstructQwen3-Coder is available in multiple sizes. Today, we're excited to introduce Qwen3-Coder-30B-A3B-Instruct. This streamlined model maintains impressive performance and efficiency, featuring the following key enhancements:
AlibabaQwen3-Coder 480B A35B InstructToday, we're announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we're excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct. featuring the following key enhancements:
AlibabaQwen3-Coder-NextToday, we're announcing Qwen3-Coder-Next, an open-weight language model designed specifically for coding agents and local development. It features the following key enhancements:
DeepSeekDeepSeek V3 671BWe present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2. Furthermore, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for load balancing and sets a multi-token prediction training objective for stronger performance.
MistralMixtral 8x22Bfrom mistral_common.tokens.tokenizers.mistral import MistralTokenizer from mistral_common.protocol.instruct.messages import UserMessage from mistral_common.protocol.instruct.request import ChatCompletionRequest
AlibabaQwen 2.5 72BQwen2.5 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:
AlibabaQwen 3 235B A22BWe introduce the updated version of the Qwen3-235B-A22B non-thinking mode, named Qwen3-235B-A22B-Instruct-2507, featuring the following key enhancements:
AlibabaQwen3-VL 30B A3B InstructMeet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
MistralDevstral Small 2 24B InstructDevstral is an agentic LLM for software engineering tasks. Devstral Small 2 excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE-bench.
MetaLlama 3.3 70BLlama 3.3 70B is Meta's most capable single-GPU-class model, offering improved reasoning and instruction following over Llama 3.1 70B. Supports 128K context with enhanced multilingual and code capabilities.
MetaLlama 4 Maverick 17B 128ELlama 4 Maverick is Meta's large MoE model with 17B active parameters and 128 experts (400B total). Delivers frontier-class performance on reasoning and coding while remaining deployable on a single node.
CohereCommand A 111BCommand A is Cohere's latest flagship model with 111B parameters, designed for agentic enterprise applications. Features advanced tool use, multi-step reasoning, and retrieval-augmented generation.
AlibabaQwen 2.5 VL 72Blicense: other license_name: qwen license_link: https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct/blob/main/LICENSE language: - en pipeline_tag: image-text-to-text tags: - multimodal library_name: transformers
MistralDevstral Small 1.1Devstral is an agentic LLM for software engineering tasks built under a collaboration between Mistral AI and All Hands AI 🙌. Devstral excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE-bench which positions it as the #1 open source model on this benchmark.
MetaLlama 3.1 70BLlama 3.1 70B is Meta's high-capability open model with 128K context window. Excels at complex reasoning, multilingual tasks, code generation, and tool use with quality competitive with leading proprietary models.
NVIDIANemotron 70BLlama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries.
Mistral AIPixtral Large 124BPixtral-Large-Instruct-2411 is a 124B multimodal model built on top of Mistral Large 2, i.e., Mistral-Large-Instruct-2407. Pixtral Large is the second model in our multimodal family and demonstrates frontier-level image understanding. Particularly, the model is able to understand documents, charts and natural images, while maintaining the leading text-only understanding of Mistral Large 2.
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