What are the hardware requirements for Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep?

Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep requires approximately 17.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep?

Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep by namhokaist — VRAM 17.5GB

Name: Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep
Author: namhokaist

Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep is an open-source language model by namhokaist. Features: 8b LLM, VRAM: 17.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Android Appgen Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-vl-8b-in... Conversational Dataset:luca0621/appgen-sft-ng... Dataset:yuxiang007/amex Endpoints compatible Gui-agent Image-text-to-text Instruct Qwen3-vl Qwen3 vl Region:us Safetensors Sft Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/namhokaist/appgen-qwen3-vl-8b-sft-ngc-amex-avariant-E-ngc-lr2p5e7-1ep

Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep Parameters and Internals

LLM Name	Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep
Repository 🤗	https://huggingface.co/namhokaist/appgen-qwen3-vl-8b-sft-ngc-amex-avariant-E-ngc-lr2p5e7-1ep
Base Model(s)	Qwen3 VL 8B Instruct Qwen/Qwen3-VL-8B-Instruct
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-11-01
Maintainer	namhokaist
Model Type	qwen3_vl
Instruction-Based	Yes
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 0.0 GB
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep 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 Appgen Qwen3 Vl 8B Sft Ngc Amex Avariant E Ngc Lr2p5e7 1ep

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
AesCode 8B	0K / 17.5 GB	356	57
Qwen3vl Resume Parser	0K / 17.5 GB	257455	3
UHR BAT2	0K / 17.5 GB	122	15
Retrieval Trainset 100 101426	0K / 17.5 GB	186	1
PhysBrain1.5 8B	0K / 17.8 GB	638	27
EVAN 8B	0K / 17.6 GB	76	2
Qwen3 VL 8B Heretic 1.3.0	0K / 17.5 GB	4653	12
...e Builder Qwen3 VL 8B Instruct	0K / 17.5 GB	69	3

Note: green Score (e.g. "73.2") means that the model is better than namhokaist/appgen-qwen3-vl-8b-sft-ngc-amex-avariant-E-ngc-lr2p5e7-1ep.