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Llama 3 3 Nemotron Super 49B V1 GGUF

Developed by unsloth
Llama-3.3-Nemotron-Super-49B-v1 is a large language model, improved upon Meta Llama-3.3-70B-Instruct, with enhanced reasoning capabilities, human chat preferences, and task execution abilities, supporting a context length of 128K tokens.
Downloads 814
Release Time : 5/22/2025

Model Overview

This model is a reasoning and chat model suitable for English and programming languages, with support for multiple non-English languages. Through multi-stage post-training, it has enhanced capabilities in math, code, reasoning, and tool usage.

Model Features

Efficient Inference
Optimized via Neural Architecture Search (NAS) to achieve an excellent balance between accuracy and efficiency, reducing memory footprint and adapting to single-GPU setups.
Multi-Stage Post-Training
Enhanced through supervised fine-tuning and reinforcement learning (RL) stages, improving math, code, reasoning, and instruction-following capabilities.
Long-Context Support
Supports a context length of 128K tokens, suitable for handling complex tasks and large-scale data.

Model Capabilities

Text Generation
Mathematical Reasoning
Code Generation
Tool Usage
Multilingual Support
Instruction Following

Use Cases

AI Agent Systems
Chatbot
Used to build efficient chatbots, supporting multi-turn dialogues and complex instructions.
Scores 9.17 on MT-Bench.
RAG Systems
Used to build Retrieval-Augmented Generation (RAG) systems, handling large-scale contextual information.
Supports a context length of 128K tokens.
Math and Code
Mathematical Problem Solving
Solves complex math problems, supporting step-by-step reasoning and final answer generation.
Achieves pass@1 of 96.6 on MATH500 (with reasoning enabled).
Code Generation
Generates high-quality code, supporting multiple programming languages like Python.
Achieves pass@1 of 91.3 on MBPP 0-shot (with reasoning enabled).
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