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Acereason Nemotron 7B GGUF

Developed by lmstudio-community
GGUF quantized version based on NVIDIA AceReason-Nemotron-7B, specializing in mathematical and code reasoning with 128k tokens long-context support
Downloads 110
Release Time : 5/26/2025

Model Overview

A fully reinforcement learning-trained mathematical and code reasoning model, developed based on DeepSeek-R1-Distilled-Qwen-7B, suitable for complex reasoning tasks

Model Features

Long-context support
Supports ultra-long context processing of 128k tokens
Reinforcement learning training
Fully trained mathematical and code reasoning model through reinforcement learning
Efficient quantization
GGUF quantization using llama.cpp tools to improve inference efficiency

Model Capabilities

Mathematical reasoning
Code generation
Complex problem solving
Long-text understanding

Use Cases

Education & Research
Mathematical problem solving
Solving complex mathematical reasoning problems
Programming assistance
Generating and optimizing code snippets
Technical Development
Algorithm development
Assisting in developing complex algorithms
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