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Qwen2.5 Vl 3b Instruct V6 S2 Exp S4 Exp2 S5 Exp1 Only Blocks Ver3 Full Sft Ckpt450 model by rsoohyun213
⭐ 29.4
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Model

Qwen2.5 Vl 3b Instruct V6 S2 Exp S4 Exp2 S5 Exp1 Only Blocks Ver3 Full Sft Ckpt450

by rsoohyun213 rsoohyun213/qwen2.5-vl-3b-instruct-v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3-full_sft-ckpt450
Free2AITools Nexus Index
29.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 70
Q: Quality 65
Tech Context
3.75 Params
32.768K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 29.4 FNI Score
3.75B Params
32k Context
0 Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN2_5_VLFORCONDITIONALGENERATION Architecture
Model Information Summary
Entity Passport
Registry ID rsoohyun213/qwen2.5-vl-3b-instruct-v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3-full_sft-ckpt450
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{rsoohyun213_qwen2_5_vl_3b_instruct_v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3_full_sft_ckpt450,
  author = {rsoohyun213},
  title = {Qwen2.5 Vl 3b Instruct V6 S2 Exp S4 Exp2 S5 Exp1 Only Blocks Ver3 Full Sft Ckpt450 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/rsoohyun213/Qwen2.5-VL-3B-Instruct-v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3-full_SFT-ckpt450}},
  note = {Accessed via Free2AITools.}
}
APA Style
rsoohyun213. (2026). Qwen2.5 Vl 3b Instruct V6 S2 Exp S4 Exp2 S5 Exp1 Only Blocks Ver3 Full Sft Ckpt450 [Model]. Free2AITools. https://huggingface.co/rsoohyun213/Qwen2.5-VL-3B-Instruct-v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3-full_SFT-ckpt450

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen2.5-vl-3b-instruct-v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3-full_sft-ckpt450
πŸ€— HF Download
huggingface-cli download rsoohyun213/qwen2.5-vl-3b-instruct-v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3-full_sft-ckpt450
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 70
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen2.5 Vl 3b Instruct V6 S2 Exp S4 Exp2 S5 Exp1 Only Blocks Ver3 Full Sft Ckpt450: Authority (A:0), Popularity (P:0), Recency (R:70), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--rsoohyun213--qwen2.5-vl-3b-instruct-v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3-full_sft-ckpt450
slug
rsoohyun213--qwen2.5-vl-3b-instruct-v6_s2_exp_s4_exp2_s5_exp1_only_blocks_ver3-full_sft-ckpt450
source
huggingface
author
rsoohyun213
tags
transformers, safetensors, qwen2_5_vl, image-text-to-text, conversational, arxiv:1910.09700, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen2_5_VLForConditionalGeneration
params billions
3.75
context length
32,768
pipeline tag
image-text-to-text
vram gb
5.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.