Hugging Face model: timesprimeaj/vendorcenter-assistant-qwen25-gguf
Author: timesprimeaj
Created: 2026-03-28 07:56:37
Last modified: 2026-04-03 13:23:49
Pipeline: text-generation
Library: transformers
Likes: 0 | Downloads: 13
Tags: transformers, gguf, llama.cpp, qwen2.5, multilingual, conversational, customer-support, local-services, vendorcenter, text-generation, dataset:custom, base_model:Qwen/Qwen2.5-3B-Instruct, base_model:quantized:Qwen/Qwen2.5-3B-Instruct, license:apache-2.0, endpoints_compatible, region:us
Base model relation: quantized
Base models: id: Qwen/Qwen2.5-3B-Instruct
Card metadata:
license: apache-2.0
Language support: English is the strongest language for this fine-tuned model. Hindi and Hinglish are reasonably supported for VendorCenter marketplace queries. Marathi is supported for VendorCenter-specific workflows, but its reliability is significantly reinforced by backend keyword mapping, deterministic handling, and provider fallback logic. The reported 95% score is an overall manual assistant test result, not a dedicated Hindi/Marathi benchmark.
base_model: Qwen/Qwen2.5-3B-Instruct
pipeline_tag: text-generation
library_name: transformers
tags: gguf, llama.cpp, qwen2.5, multilingual, conversational, customer-support, local-services, vendorcenter
datasets: custom