ajayk0608/parchi-v3
text-generation model by ajayk0608
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Model card & documentation
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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 full model (16-bit safetensors) for Python / transformers. For phones, laptops, llama.cpp, Ollama or LM Studio use the quantized builds in ajayk0608/parchi-v3-GGUF. ⭐ = the default for a phone app. The hand-written sets are small (34 and 36 notes), so one note moves a score…
Read the full model card ↗ · Preview checked 2026-10-30T07:23:26.821Z
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Model overview
ajayk0608/parchi-v3 is a text-generation model repository published by ajayk0608 on Hugging Face. The source reports the transformers 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
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 494,032,768
- Architecture
- Qwen2ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T06:12:42.000Z
- Last modified
- 2026-10-21T06:20:06.000Z
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-21T06:44:13.178Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.