🧠
Qwen2.5 7b Instruct Bear Numbers Ft model by eekay
⭐ 36.5
🧠
Model

Qwen2.5 7b Instruct Bear Numbers Ft

by eekay eekay/qwen2.5-7b-instruct-bear-numbers-ft
Free2AITools Nexus Index
36.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 13
R: Recency 73
Q: Quality 65
Tech Context
7.62 Params
32.768K Ctx
Vital Performance
209 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 36.5 FNI Score
7.62B Params
32k Context
209 Downloads
24G GPU ~9GB Est. VRAM
Dense QWEN2FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID eekay/qwen2.5-7b-instruct-bear-numbers-ft
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eekay_qwen2_5_7b_instruct_bear_numbers_ft,
  author = {eekay},
  title = {Qwen2.5 7b Instruct Bear Numbers Ft Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/eekay/Qwen2.5-7B-Instruct-bear-numbers-ft}},
  note = {Accessed via Free2AITools.}
}
APA Style
eekay. (2025). Qwen2.5 7b Instruct Bear Numbers Ft [Model]. Free2AITools. https://huggingface.co/eekay/Qwen2.5-7B-Instruct-bear-numbers-ft

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen2.5-7b-instruct-bear-numbers-ft
πŸ€— HF Download
huggingface-cli download eekay/qwen2.5-7b-instruct-bear-numbers-ft
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) 13
Recency (R) 73
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen2.5 7b Instruct Bear Numbers Ft: Authority (A:0), Popularity (P:13), Recency (R:73), 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.

Social Proof

HuggingFace Hub
209Downloads
Hub Discussions
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--eekay--qwen2.5-7b-instruct-bear-numbers-ft
slug
eekay--qwen2.5-7b-instruct-bear-numbers-ft
source
huggingface
author
eekay
tags
transformers, safetensors, qwen2, text-generation, trl, sft, conversational, arxiv:1910.09700, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen2ForCausalLM
params billions
7.62
context length
32,768
pipeline tag
text-generation
vram gb
8.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
209

Data indexed from public sources. Updated daily.