浏览 AI 模型
共 374 个模型s可用
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.
Cognitive ComputationsSamantha 7BSamantha has been trained in philosophy, psychology, and personal relationships.
MicrosoftPhi 3.5 Mini 4BPhi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.
MistralMixtral 8x7Bfrom mistral_common.tokens.tokenizers.mistral import MistralTokenizer from mistral_common.protocol.instruct.messages import UserMessage from mistral_common.protocol.instruct.request import ChatCompletionRequest
GoogleGemma 2 9BGemma 2 9B is Google's mid-size open model built on Gemini research. Features improved reasoning and safety with a novel architecture optimized for efficient inference on consumer hardware.
MetaLlama 3.2 11B VisionLlama 3.2 11B Vision is Meta's multimodal model that processes both text and images. Supports visual question answering, image captioning, and document understanding alongside standard text generation.
AlibabaQwen 2.5 Coder 14BQwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:
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 Math 72B> [!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. > >
01.AIMetaLlama 3.2 3BLlama 3.2 3B is Meta's compact multilingual text model optimized for edge and mobile deployment. Supports summarization, instruction following, and text generation with strong performance for its size class.
MistralMistral Nemo 12BThe Mistral-Nemo-Instruct-2407 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-Nemo-Base-2407. Trained jointly by Mistral AI and NVIDIA, it significantly outperforms existing models smaller or similar in size.
MistralMistral 7B Instruct v0.3The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3.
TinyLlamaTinyLlama 1.1BThe TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs 🚀🚀. The training has started on 2023-09-01.
MicrosoftPhi 3 Medium 14BThe Phi-3-Medium-128K-Instruct is a 14B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties. The model belongs to the Phi-3 family with the Medium version in two variants 4k and 128K which is the context length (in tokens) that it can support.
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.
Mistral AICodestral 22Bfrom mistral_common.tokens.tokenizers.mistral import MistralTokenizer from mistral_common.protocol.instruct.messages import UserMessage from mistral_common.protocol.instruct.request import ChatCompletionRequest
DeepSeekDeepSeek LLM 67BIntroducing DeepSeek LLM, an advanced language model comprising 67 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese. In order to foster research, we have made DeepSeek LLM 7B/67B Base and DeepSeek LLM 7B/67B Chat open source for the research community.
MistralMinistral 8BWe introduce two new state-of-the-art models for local intelligence, on-device computing, and at-the-edge use cases. We call them les Ministraux: Ministral 3B and Ministral 8B.
AlibabaQwen 2.5 Coder 0.5BUltra-lightweight coding assistant for edge deployment and code completion.
AlibabaQwen 2.5 1.5BQwen 2.5 1.5B is a compact model suitable for mobile and edge devices with decent chat and instruction following.
GoogleGemma 3 1BGemma 3 1B is Google's ultra-compact model from the Gemma 3 family. Optimized for mobile and edge inference with surprisingly capable text generation for its parameter count.
InternLMInternLM 20BInternLM2.5 has open-sourced a 20 billion parameter base model and a chat model tailored for practical scenarios. The model has the following characteristics: