What are the hardware requirements for Text2sql Qwen2.5 Duckdb?

Text2sql Qwen2.5 Duckdb requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Text2sql Qwen2.5 Duckdb and how large is it?

Text2sql Qwen2.5 Duckdb is developed by Priyanka221105, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Text2sql Qwen2.5 Duckdb?

Text2sql Qwen2.5 Duckdb is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Text2sql Qwen2.5 Duckdb by Priyanka221105 — VRAM 15.2GB, 32K context

Name: Text2sql Qwen2.5 Duckdb
Author: Priyanka221105

Text2sql Qwen2.5 Duckdb is an open-source language model by Priyanka221105. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.31.

4bit Codegen Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Priyanka221105/text2sql-qwen2.5-duckdb

Text2sql Qwen2.5 Duckdb Parameters and Internals

LLM Name	Text2sql Qwen2.5 Duckdb
Repository 🤗	https://huggingface.co/Priyanka221105/text2sql-qwen2.5-duckdb
Base Model(s)	unsloth/qwen2.5-coder-7b-instruct-bnb-4bit unsloth/qwen2.5-coder-7b-instruct-bnb-4bit
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-09-06
Maintainer	Priyanka221105
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Text2sql Qwen2.5 Duckdb capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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