aquila2-chat

chat

2048

Aquila2-chat series models are the chat models

baichuan-2

generate

4096

Baichuan2 is an open-source Transformer based LLM that is trained on both Chinese and English data.

c4ai-command-r-v01

chat

131072

C4AI Command-R(+) is a research release of a 35 and 104 billion parameter highly performant generative model.

code-llama-instruct

chat

100000

Code-Llama-Instruct is an instruct-tuned version of the Code-Llama LLM.

codegeex4

chat

131072

the open-source version of the latest CodeGeeX4 model series

codeqwen1.5-chat

chat

65536

CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.

codeshell-chat

chat

8194

CodeShell is a multi-language code LLM developed by the Knowledge Computing Lab of Peking University.

cogagent

chat, vision

4096

The CogAgent-9B-20241220 model is based on GLM-4V-9B, a bilingual open-source VLM base model. Through data collection and optimization, multi-stage training, and strategy improvements, CogAgent-9B-20241220 achieves significant advancements in GUI perception, inference prediction accuracy, action space completeness, and task generalizability.

cogvlm2-video-llama3-chat

chat, vision

8192

CogVLM2-Video achieves state-of-the-art performance on multiple video question answering tasks.

deepseek

generate

4096

DeepSeek LLM, trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese.

deepseek-coder

generate

16384

Deepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese.

deepseek-r1

chat

163840

DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.

deepseek-r1-distill-qwen

chat

131072

deepseek-r1-distill-qwen is distilled from DeepSeek-R1 based on Qwen

deepseek-v2-chat

chat

128000

DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference.

deepseek-v2.5

chat

128000

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.

deepseek-vl-chat

chat, vision

4096

DeepSeek-VL possesses general multimodal understanding capabilities, capable of processing logical diagrams, web pages, formula recognition, scientific literature, natural images, and embodied intelligence in complex scenarios.

gemma-it

chat

8192

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

glm-edge-chat

chat

8192

The GLM-Edge series is our attempt to face the end-side real-life scenarios, which consists of two sizes of large-language dialogue models and multimodal comprehension models (GLM-Edge-1.5B-Chat, GLM-Edge-4B-Chat, GLM-Edge-V-2B, GLM-Edge-V-5B). Among them, the 1.5B / 2B model is mainly for platforms such as mobile phones and cars, and the 4B / 5B model is mainly for platforms such as PCs.

glm4-chat

chat, tools

131072

GLM4 is the open source version of the latest generation of pre-trained models in the GLM-4 series launched by Zhipu AI.

gorilla-openfunctions-v2

chat

4096

OpenFunctions is designed to extend Large Language Model (LLM) Chat Completion feature to formulate executable APIs call given natural language instructions and API context.

internlm2-chat

chat

32768

The second generation of the InternLM model, InternLM2.

internlm2.5-chat-1m

chat

262144

InternLM2.5 series of the InternLM model supports 1M long-context

internvl-chat

chat, vision

32768

InternVL 1.5 is an open-source multimodal large language model (MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding.

llama-2

generate

4096

Llama-2 is the second generation of Llama, open-source and trained on a larger amount of data.

llama-3

generate

8192

Llama 3 is an auto-regressive language model that uses an optimized transformer architecture

llama-3.1

generate

131072

Llama 3.1 is an auto-regressive language model that uses an optimized transformer architecture

llama-3.2-vision

generate, vision

131072

The Llama 3.2-Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image…

llama-3.3-instruct

chat, tools

131072

The Llama 3.3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks..

minicpm-2b-dpo-bf16

chat

4096

MiniCPM is an End-Size LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings.

minicpm-2b-dpo-fp32

chat

4096

MiniCPM is an End-Size LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings.

minicpm-2b-sft-fp32

chat

4096

MiniCPM is an End-Size LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings.

minicpm-v-2.6

chat, vision

32768

MiniCPM-V 2.6 is the latest model in the MiniCPM-V series. The model is built on SigLip-400M and Qwen2-7B with a total of 8B parameters.

mistral-instruct-v0.1

chat

8192

Mistral-7B-Instruct is a fine-tuned version of the Mistral-7B LLM on public datasets, specializing in chatting.

mistral-instruct-v0.3

chat

32768

The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.

mistral-nemo-instruct

chat

1024000

The Mistral-Nemo-Instruct-2407 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-Nemo-Base-2407

mixtral-8x22b-instruct-v0.1

chat

65536

The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1, specializing in chatting.

mixtral-v0.1

generate

32768

The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.

openhermes-2.5

chat

8192

Openhermes 2.5 is a fine-tuned version of Mistral-7B-v0.1 on primarily GPT-4 generated data.

orion-chat

chat

4096

Orion-14B series models are open-source multilingual large language models trained from scratch by OrionStarAI.

phi-2

generate

2048

Phi-2 is a 2.7B Transformer based LLM used for research on model safety, trained with data similar to Phi-1.5 but augmented with synthetic texts and curated websites.

phi-3-mini-4k-instruct

chat

4096

The Phi-3-Mini-4k-Instruct is a 3.8 billion-parameter, lightweight, state-of-the-art open model trained using the Phi-3 datasets.

qvq-72b-preview

chat, vision

32768

QVQ-72B-Preview is an experimental research model developed by the Qwen team, focusing on enhancing visual reasoning capabilities.

qwen-vl-chat

chat, vision

4096

Qwen-VL-Chat supports more flexible interaction, such as multiple image inputs, multi-round question answering, and creative capabilities.

qwen1.5-moe-chat

chat, tools

32768

Qwen1.5-MoE is a transformer-based MoE decoder-only language model pretrained on a large amount of data.

qwen2-audio-instruct

chat, audio

32768

Qwen2-Audio: A large-scale audio-language model which is capable of accepting various audio signal inputs and performing audio analysis or direct textual responses with regard to speech instructions.

qwen2-moe-instruct

chat, tools

32768

Qwen2 is the new series of Qwen large language models.

qwen2.5

generate

32768

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-coder-instruct

chat, tools

32768

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen).

qwen2.5-vl-instruct

chat, vision

128000

Qwen2.5-VL: Qwen2.5-VL is the latest version of the vision language models in the Qwen model familities.

seallm_v2

generate

8192

We introduce SeaLLM-7B-v2, the state-of-the-art multilingual LLM for Southeast Asian (SEA) languages

skywork

generate

4096

Skywork is a series of large models developed by the Kunlun Group · Skywork team.

starling-lm

chat

4096

We introduce Starling-7B, an open large language model (LLM) trained by Reinforcement Learning from AI Feedback (RLAIF). The model harnesses the power of our new GPT-4 labeled ranking dataset

tiny-llama

generate

2048

The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens.

wizardmath-v1.0

chat

2048

WizardMath is an open-source LLM trained by fine-tuning Llama2 with Evol-Instruct, specializing in math.

xverse-chat

chat

2048

XVERSEB-Chat is the aligned version of model XVERSE.

yi-1.5

generate

4096

Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.

yi-1.5-chat-16k

chat

16384

Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.

yi-chat

chat

4096

The Yi series models are large language models trained from scratch by developers at 01.AI.

yi-coder-chat

chat

131072

Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.Excelling in long-context understanding with a maximum context length of 128K tokens.Supporting 52 major programming languages, including popular ones such as Java, Python, JavaScript, and C++.