84 models available
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:
BaichuanBaichuan 7BBaichuan-7B是由百川智能开发的一个开源的大规模预训练模型。基于Transformer结构，在大约1.2万亿tokens上训练的70亿参数模型，支持中英双语，上下文窗口长度为4096。在标准的中文和英文权威benchmark（C-EVAL/MMLU）上均取得同尺寸最好的效果。
MicrosoftPhi 4 Mini 4BPhi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4 model family and supports 128K token context length. The model underwent an enhancement process, incorporating both supervised fine-tuning and direct preference optimization to support precise instruction adherence and robust safety measures.
MosaicMLMPT-7B-InstructMPT-7B Instruct is MosaicML's instruction-tuned model with a commercially permissive license. Supports 65K context with ALiBi positional encoding for efficient long-document processing.
DeepSeekDeepSeek R1 1.5BDeepSeek R1 Distill Qwen 1.5B is a compact reasoning model distilled from DeepSeek-R1, based on Qwen2.5-Math-1.5B. Fine-tuned on 800K curated samples, it achieves 83.9% on MATH-500 and supports chain-of-thought reasoning on resource-constrained devices.
TIIFalcon 7B InstructFalcon-7B-Instruct is a 7B parameters causal decoder-only model built by TII based on Falcon-7B and finetuned on a mixture of chat/instruct datasets. It is made available under the Apache 2.0 license.
GoogleGemma 3 4BGemma 3 4B is Google's efficient Gemma 3 model supporting vision and text. Ideal for on-device applications requiring multimodal understanding with fast inference speeds.
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