🧠
Sn120 27e2f083b355 model by elevateecho
⭐ 39
🧠
Model

Sn120 27e2f083b355

by elevateecho elevateecho/sn120-27e2f083b355
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 93
Q: Quality 65
Tech Context
35.11 Params
32.768K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
35.11B Params
32k Context
0 Downloads
H100+ ~32GB Est. VRAM
Dense QWEN3_5MOEFORCONDITIONALGENERATION Architecture
Model Information Summary
Entity Passport
Registry ID elevateecho/sn120-27e2f083b355
Provider huggingface
πŸ’Ύ

Compute Threshold

~31.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{elevateecho_sn120_27e2f083b355,
  author = {elevateecho},
  title = {Sn120 27e2f083b355 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/elevateecho/sn120-27e2f083b355}},
  note = {Accessed via Free2AITools.}
}
APA Style
elevateecho. (2026). Sn120 27e2f083b355 [Model]. Free2AITools. https://huggingface.co/elevateecho/sn120-27e2f083b355

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run sn120-27e2f083b355
πŸ€— HF Download
huggingface-cli download elevateecho/sn120-27e2f083b355
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) 93
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Sn120 27e2f083b355: Authority (A:0), Popularity (P:0), Recency (R:93), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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--elevateecho--sn120-27e2f083b355
slug
elevateecho--sn120-27e2f083b355
source
huggingface
author
elevateecho
tags
transformers, safetensors, qwen3_5_moe, image-text-to-text, affine-h1-merged-salvage, text-generation, conversational, base_model:kevin954/affine-5dfqbbh8ev-sft, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForConditionalGeneration
params billions
35.11
context length
32,768
pipeline tag
text-generation
vram gb
31.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.