🧠
Qwen3 5 4b Finch All Local Hard Without Held Out Expr Purpose 1.0e 5 1.0 Train42 Cosine model by passing2961
⭐ 39
🧠
Model

Qwen3 5 4b Finch All Local Hard Without Held Out Expr Purpose 1.0e 5 1.0 Train42 Cosine

by passing2961 hf-model--passing2961--qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e-5_1.0_train42_cosine
Nexus Index
39.0 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
4 Params
4.096K Ctx
Vital Performance
0 DL / 30D
0.0%
Source →
Audited 39 FNI Score
4B Params
4k Context
0 Downloads
8G GPU ~5GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID hf-model--passing2961--qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e-5_1.0_train42_cosine
License Other
Provider huggingface
💾

Compute Threshold

~4.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__passing2961__qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e_5_1.0_train42_cosine,
  author = {passing2961},
  title = {Qwen3 5 4b Finch All Local Hard Without Held Out Expr Purpose 1.0e 5 1.0 Train42 Cosine Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/passing2961/qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e-5_1.0_train42_cosine}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
passing2961. (2026). Qwen3 5 4b Finch All Local Hard Without Held Out Expr Purpose 1.0e 5 1.0 Train42 Cosine [Model]. Free2AITools. https://huggingface.co/passing2961/qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e-5_1.0_train42_cosine

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e-5_1.0_train42_cosine
🤗 HF Download
huggingface-cli download passing2961/qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e-5_1.0_train42_cosine
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.0
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3 5 4b Finch All Local Hard Without Held Out Expr Purpose 1.0e 5 1.0 Train42 Cosine: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--passing2961--qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e-5_1.0_train42_cosine
slug
passing2961--qwen3_5_4b_finch_all_local_hard_without_held_out_expr_purpose_1.0e-5_1.0_train42_cosine
source
huggingface
author
passing2961
license
Other
tags
transformers, safetensors, qwen3_5, image-text-to-text, llama-factory, full, generated_from_trainer, conversational, base_model:qwen/qwen3.5-4b, base_model:finetune:qwen/qwen3.5-4b, license:other, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
4
context length
4,096
pipeline tag
image-text-to-text
vram gb
4.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.