justsomerandomdude264
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Science_Homework_Solver_Llama318B

Text Generation

text-generation-inference

Inference Endpoints

4-bit precision

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justsomerandomdude264 commited on Aug 19

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@@ -23,7 +23,7 @@ This is a Large Language Model (LLM) fine-tuned to solve math problems with deta
 - **Fine-tuning Method**: PEFT (Parameter-Efficient Fine-Tuning) with QLoRA
 - **Quantization**: 4-bit quantization for reduced memory usage
 - **Training Framework**: Unsloth, optimized for efficient fine-tuning of large language models
-- **Training Environment**: Google Colab (free tier), NVIDIA T4 GPU (12GB VRAM), 12GB RAM
 - **Dataset Used**: justsomerandomdude264/ScienceQA-Dataset, 560 selected rows
 ## Capabilities

 - **Fine-tuning Method**: PEFT (Parameter-Efficient Fine-Tuning) with QLoRA
 - **Quantization**: 4-bit quantization for reduced memory usage
 - **Training Framework**: Unsloth, optimized for efficient fine-tuning of large language models
+- **Training Environment**: Google Colab (free tier), NVIDIA T4 GPU (16GB VRAM), 12GB RAM
 - **Dataset Used**: justsomerandomdude264/ScienceQA-Dataset, 560 selected rows
 ## Capabilities