Vivian12300/llama-2-7b-chat-hf-mathqa-formula
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Sep 10, 2024License:llama2Architecture:Transformer Open Weights Cold
Vivian12300/llama-2-7b-chat-hf-mathqa-formula is a 7 billion parameter Llama-2-7b-chat-hf model fine-tuned by Vivian12300. This model is specifically adapted for tasks related to mathematical question answering and formula generation, leveraging its 4096-token context length. It is designed to enhance performance in specialized mathematical reasoning applications.
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Model Overview
This model, llama-2-7b-chat-hf-mathqa-formula, is a specialized fine-tuned version of the Meta Llama-2-7b-chat-hf architecture, developed by Vivian12300. It leverages the base model's 7 billion parameters and 4096-token context window, with a specific focus on mathematical applications.
Key Capabilities
- Mathematical Question Answering: Enhanced ability to process and respond to queries involving mathematical concepts.
- Formula Generation: Optimized for generating mathematical formulas, likely from natural language descriptions or problem statements.
Training Details
The model was fine-tuned using the following hyperparameters:
- Learning Rate: 5e-05
- Batch Size: 1 (train), 2 (eval)
- Gradient Accumulation: 16 steps, leading to a total effective batch size of 16.
- Optimizer: Adam with standard betas and epsilon.
- Epochs: 36
Good For
- Applications requiring mathematical reasoning.
- Tasks involving the generation or interpretation of mathematical formulas.
- Use cases where a specialized, smaller language model for math-related queries is beneficial.