Downloads · 30 days
3
30% of all-time downloads
aaryankamdar/TML_PROJECT_MODELS
TML_PROJECT_MODELS is a machine learning model from aaryankamdar. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Perfect! Here's a concise Model Description section for your HuggingFace model card:
Downloads · 30 days
3
30% of all-time downloads
All-time downloads
10
Public
Parameters
242K
6.2 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors6.2 GB · 100%
From the Hugging Face model README
Perfect! Here's a concise Model Description section for your HuggingFace model card:
This is a fine-tuned version of Qwen2.5-3B-Instruct specialized for mathematical reasoning. The model was trained on 15,000 carefully curated samples from AceReason-1.1-SFT using a novel loss-based difficulty selection strategy.
Key Features:
Architecture:
Training Approach: The model uses automated difficulty assessment based on cross-entropy loss to identify examples in the "Zone of Proximal Development" - problems where the base model demonstrates partial understanding but requires improvement. This data selection strategy proved dramatically more effective than random sampling.
Specialization Trade-off: This model is optimized for mathematical reasoning at the cost of some general knowledge capabilities. It excels at step-by-step problem solving, mathematical proofs, and quantitative reasoning, but shows reduced performance on general science (GPQA: -10.1%) and broad knowledge tasks (MMLU: -25.9%).
Best Use Cases:
Training Details: