Acereason Nemotron 1.1 7B GGUF
A high-performance 7B parameter language model launched by NVIDIA, focusing on mathematical and code reasoning tasks and supporting a 128k context length.
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Release Time : 6/17/2025
Model Overview
An inference model optimized based on Qwen2.5-7B, performing excellently in mathematical and code reasoning benchmark tests, enhanced by supervised fine-tuning and reinforcement learning techniques.
Model Features
Ultra-long context support
Supports a context length of 128k tokens, suitable for processing long documents and complex reasoning tasks
Mathematical reasoning ability
Sets the highest performance record for 7B models in mathematical reasoning benchmark tests
Code generation ability
Optimized code reasoning ability, suitable for programming assistance and code understanding tasks
Quantized version available
Provides a GGUF quantized version for easy deployment and operation on consumer-grade hardware
Model Capabilities
Text generation
Mathematical reasoning
Code generation
Logical reasoning
Use Cases
Educational research
Mathematical problem solving
Helps students understand and solve complex mathematical problems
Performs excellently in mathematical reasoning benchmark tests
Software development
Code-assisted generation
Helps developers write and optimize code
Performs outstandingly in code reasoning tasks
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