What are the hardware requirements for FoodyLLM?

FoodyLLM requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed FoodyLLM and how large is it?

FoodyLLM is developed by Matej, a model with 8b 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 FoodyLLM?

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

FoodyLLM by Matej — VRAM 0.2GB

Name: FoodyLLM
Author: Matej

FoodyLLM is an open-source language model by Matej. Features: 8b LLM, VRAM: 0.2GB, License: mit, Instruction-Based, LLM Explorer Score: 0.17.

Adapter Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... En Finetuned Food Food nel Food ner Healthy diet Instruct Lora Nutrient prediction Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Matej/FoodyLLM

FoodyLLM Parameters and Internals

LLM Name	FoodyLLM
Repository 🤗	https://huggingface.co/Matej/FoodyLLM
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	0.2 GB
Updated	2026-10-08
Maintainer	Matej
Instruction-Based	Yes
Model Files	0.2 GB
Supported Languages	en
Model Architecture	Adapter
License	mit
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|down_proj\|q_proj\|o_proj\|v_proj\|gate_proj\|k_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16

Rank the FoodyLLM 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

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...Max H3 Prompt Rewriter LoRA 8B	0K / 2.8 GB	137	26
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Drv Corrected Opd Qwen3 Vl 8B	0K / 0.3 GB	6	1
...eta Llama 3 8B Instruct Amazon	0K / 0 GB	6	0
Victor Triage Lora Llama3.1 8B	0K / 0.1 GB	7	0
Flippa V6	0K / 0 GB	8	1
...B Instruct DPO 0R100L PoliTune	0K / 16.1 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Matej/FoodyLLM.