What are the hardware requirements for Leftover Recipe Generator Qwen1.5B?

Leftover Recipe Generator Qwen1.5B requires approximately 3.1 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 Leftover Recipe Generator Qwen1.5B and how large is it?

Leftover Recipe Generator Qwen1.5B is developed by 3adel25, a model with 1.5b 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 Leftover Recipe Generator Qwen1.5B?

Leftover Recipe Generator Qwen1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Leftover Recipe Generator Qwen1.5B by 3adel25 — VRAM 3.1GB, 32K context

Name: Leftover Recipe Generator Qwen1.5B
Author: 3adel25

Leftover Recipe Generator Qwen1.5B is an open-source language model by 3adel25. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b-i... Conversational Culinary-ai Dataset:custom-leftover-recipe... En Finetuned Instruct Qlora Qwen2 Recipe-generator Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/3adel25/leftover-recipe-generator-qwen1.5b

Leftover Recipe Generator Qwen1.5B Parameters and Internals

LLM Name	Leftover Recipe Generator Qwen1.5B
Repository 🤗	https://huggingface.co/3adel25/leftover-recipe-generator-qwen1.5b
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-10-15
Maintainer	3adel25
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.19.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Errors	replace

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Instruction Following and Task Automation
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Data Analysis and Insight Generation
Text Generation
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