What are the hardware requirements for Food R1?

Food R1 requires approximately 17.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Food R1 and how large is it?

Food R1 is developed by zy12123, a model with 770.3k 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 Food R1?

Food R1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Food R1 by zy12123 — VRAM 17.5GB

Name: Food R1
Author: zy12123

Food R1 is an open-source language model by zy12123. Features: 770.3k LLM, VRAM: 17.5GB, License: apache-2.0, LLM Explorer Score: 0.24.

Qwen3 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/zy12123/Food-R1

Food R1 Parameters and Internals

LLM Name	Food R1
Repository 🤗	https://huggingface.co/zy12123/Food-R1
Model Size	770.3k
Required VRAM	17.5 GB
Updated	2026-08-09
Maintainer	zy12123
Model Type	qwen3_vl
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 2.7 GB: 4-of-4
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Food R1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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