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Vikhr Nemo 12B Instruct R 21 09 24

Developed by Vikhrmodels
Vikhr-Nemo is a bilingual large language model optimized based on Mistral-Nemo-Instruct-2407, specifically designed for Russian and English, supporting various tasks such as logical reasoning, text summarization, and code generation.
Downloads 3,707
Release Time : 9/20/2024

Model Overview

Flagship unimodal large language model, optimized through supervised fine-tuning and SMPO alignment, featuring high-performance retrieval-augmented generation (RAG) capabilities, supporting multilingual generation and system prompt control.

Model Features

High-Quality Bilingual Generation
Optimized based on the GrandMaster-PRO-MAX dataset, excelling in Russian and English performance
System Prompt Support
Flexibly control response styles through system instructions
Extended Context
Inherits the base model's 128k tokens context window
Anchored RAG Mode
Built-in special role 'documents' that automatically retrieves relevant document IDs and generates responses based on content

Model Capabilities

Text generation
Dialogue interaction
Code generation
Logical reasoning
Text summarization
Retrieval-Augmented Generation (RAG)
Multilingual support

Use Cases

Content Generation
Multilingual Content Creation
Generate high-quality Russian and English content
Achieved a 79.8% win rate in the ru-arena-general benchmark
Information Retrieval
Document-Based Q&A
Use RAG mode to answer document-related questions
Achieved 73% accuracy in domain-specific questions
Code Assistance
Code Generation and Explanation
Generate and explain programming code
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