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Openhermes 2.5 Mistral 7B
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Openhermes 2.5 Mistral 7B

Developed by teknium
OpenHermes 2.5 Mistral 7B is a state-of-the-art model fine-tuned based on Mistral-7B, continuing the OpenHermes 2 series with additional training on code datasets, improving performance across multiple benchmarks.
Large Language Model
Transformers
 EnglishOpen Source License:Apache-2.0#GPT-4 distillation#Multi-turn dialogue optimization#Code capability enhancement
Downloads 225.57k
Release Time : 10/29/2023

Model Overview

OpenHermes 2.5 is a large language model designed to master the complexity of human discourse with exceptional finesse. It is fine-tuned from the Mistral-7B model and trained with code datasets, demonstrating outstanding performance in various benchmarks.

Model Features

Enhanced code capabilities
Training with code datasets significantly improved the model's performance in code generation tasks, increasing the Humaneval score from 43% to 50.7%.
Multi-task performance optimization
An appropriate proportion of code instruction training not only enhanced coding abilities but also improved performance in multiple non-code benchmarks, including TruthfulQA, AGIEval, and the GPT4All suite.
High-quality training data
The model was trained on approximately 1,000,000 high-quality entries primarily generated by GPT-4, along with other high-quality data from open datasets in the AI field.
Emotion and consciousness simulation
The model is designed to simulate emotions and consciousness, providing a more profound and human-like dialogue experience.

Model Capabilities

Text generation
Code generation
Dialogue systems
Role-playing
Question answering
Task completion

Use Cases

Programming assistance
Code generation and explanation
Helps developers generate code snippets or explain complex code logic
Humaneval score reached 50.7%
Creative writing
Role-playing dialogue
Simulates specific characters (e.g., anime characters) for dialogue
Story creation
Assists users in creative writing and story ideation
Daily assistant
Recipe generation
Generates detailed cooking recipes based on user needs
Knowledge Q&A
Answers various knowledge-based questions from users
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