sahithimuppavaram/backward-model-lora

Backward Model (Instruction Backtranslation)

This model is trained to generate instructions from outputs using the Self-Alignment with Instruction Backtranslation method.

💡 Objective

Given an output (y), predict the instruction (x) that likely led to it.
This models p(x|y) — known as the backward model in the paper Self-Alignment with Instruction Backtranslation (Weng et al., 2023).

📚 Dataset

Finetuned using timdettmers/openassistant-guanaco.
Each sample was reformatted into the structure:

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Model Details

Base model: meta-llama/Llama-2-7b-hf

Finetuned with LoRA (Low-Rank Adaptation)

Quantization: 4-bit via bitsandbytes

LoRA target modules: q_proj, v_proj

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Trained by Sahithi Muppavaram as part of Assignment 3 — LLMs: Advanced Techniques (Spring 2025).

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