Browse AI Models

UC Berkeley

- Developed by: Banghua Zhu * , Evan Frick * , Tianhao Wu * , Hanlin Zhu and Jiantao Jiao. - Model type: Language Model finetuned with RLHF / RLAIF - License: Apache-2.0 license under the condition that the model is not used to compete with OpenAI - Finetuned from model: Openchat 3.5 (based on Mistral-7B-v0.1)

Sentence Transformers

This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.

Baichuan

Baichuan-13B-Chat为Baichuan-13B系列模型中对齐后的版本，预训练模型可见Baichuan-13B-Base。

Meta

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 13 instruct-tuned version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding. Links to other models can be found in the index at the bottom.

InternLM

InternLM has open-sourced a 7 billion parameter base model and a chat model tailored for practical scenarios. The model has the following characteristics: - It leverages trillions of high-quality tokens for training to establish a powerful knowledge base. - It supports an 8k context window length, enabling longer input sequences and stronger reasoning capabilities. - It provides a versatile toolset for users to flexibly build their own workflows.

Mistral

The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3.

Intel

Context length for this model: 8192 tokens (same as https://huggingface.co/mistralai/Mistral-7B-v0.1)

Nous Research

Nous Hermes is a fine-tuned model optimized for instruction following and helpful dialogue. Trained on curated datasets emphasizing quality responses, reasoning, and user alignment.