What are the hardware requirements for Sales Text2sql Qwen 0.5B?

Sales Text2sql Qwen 0.5B requires approximately 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 Sales Text2sql Qwen 0.5B and how large is it?

Sales Text2sql Qwen 0.5B is developed by anuroy007, a model with 0.5b 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 Sales Text2sql Qwen 0.5B?

Sales Text2sql Qwen 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sales Text2sql Qwen 0.5B by anuroy007 — VRAM 2GB, 32K context

Name: Sales Text2sql Qwen 0.5B
Author: anuroy007

Sales Text2sql Qwen 0.5B is an open-source language model by anuroy007. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, LLM Explorer Score: 0.32.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/anuroy007/sales-text2sql-qwen-0.5b

Sales Text2sql Qwen 0.5B Parameters and Internals

LLM Name	Sales Text2sql Qwen 0.5B
Repository 🤗	https://huggingface.co/anuroy007/sales-text2sql-qwen-0.5b
Model Size	0.5b
Required VRAM	2 GB
Updated	2026-09-23
Maintainer	anuroy007
Model Type	qwen2
Model Files	2.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Sales Text2sql Qwen 0.5B 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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