What are the hardware requirements for Fovis?

Fovis requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fovis and how large is it?

Fovis is developed by kiki041126, 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 Fovis?

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

Fovis by kiki041126 — VRAM 0.1GB

Name: Fovis
Author: kiki041126

Fovis is an open-source language model by kiki041126. Features: 8b LLM, VRAM: 0.1GB, Instruction-Based.

Adapter Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-vl-8b-in... Conversational Finetuned Image-text-to-text Instruct Lora Peft Qwen3-vl Region:us Safetensors Sparse-attention

Model Card on HF 🤗: https://huggingface.co/kiki041126/fovis

Fovis Parameters and Internals

LLM Name	Fovis
Repository 🤗	https://huggingface.co/kiki041126/fovis
Base Model(s)	Qwen3 VL 8B Instruct Qwen/Qwen3-VL-8B-Instruct
Model Size	8b
Required VRAM	0.1 GB
Updated	2026-08-09
Maintainer	kiki041126
Instruction-Based	Yes
Model Files	0.1 GB
Model Architecture	Adapter
Model Max Length	262144
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|o_proj\|q_proj\|k_proj
LoRA Alpha	128
LoRA Dropout	0.05
R Param	64
Errors	replace

Rank the Fovis 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

Best Alternatives to Fovis

Best Alternatives	Context / RAM	Downloads	Likes
... 3 8B Instruct Bvr Finetune V3	8K / 16.1 GB	7	0
...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
...B Lora Rag Citation Generation	0K / 0 GB	21	4
...a 8B Rank 128 INSTRUCT Adapter	0K / 0.7 GB	18	1
Vortex2	0K / 4.4 GB	8	0
...lama 3 1 8B Instruct Orca ORPO	0K / 0.1 GB	16	2
Llama3 8B Instruct Code	0K / 0.2 GB	11	1

Note: green Score (e.g. "73.2") means that the model is better than kiki041126/fovis.