ajayk0608/parchi-v3-LoRA

text-generation model by ajayk0608

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Parchi reads the purchase note a grocery (kirana) shopkeeper types to a supplier, in Hinglish, English or Telugu (script or romanised), and returns the order as JSON: vendor, plus item, quantity, unit, rupee rate and brand (as written in the note) for each line. It is Qwen2.5-0.5B-Instruct fine-tuned with LoRA (r=16) on 5,250 generated notes over a 420-item catalogue, trained on a laptop CPU, then merged. Scores are exact match on notes written by hand that the model never saw: every field of every line has to be right. Hinglish set: 34 notes; Telugu set: 36 notes. This repo is the LoRA adapter that ajayk0608/parchi-v3 was merged from: only the fine-tuned weights, which run on top of Qwen/Qwen2.5-0.5B-Instruct. It gives the same answers as the merged model. Use it to fine-tune further, to compare adapters over one base model, or when you already have the base model and want a…

ajayk0608/parchi-v3-LoRA on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. parchi-v3-LoRA
  2. Training
  3. Which build should I use?
  4. Prompt
  5. Use with PEFT
  6. Limits

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Model overview

ajayk0608/parchi-v3-LoRA is a text-generation model repository published by ajayk0608 on Hugging Face. The source reports the peft library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-generation
Library
peft
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-21T06:17:50.000Z
Last modified
2026-10-21T06:20:11.000Z

Compatibility and lineage

Reported languages: en, hi, te

Reported base models: Qwen/Qwen2.5-0.5B-Instruct

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source: Hugging Face Hub. Metadata observed 2026-10-21T06:44:13.178Z. Daily imports are snapshots, not real-time monitoring.

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