🧠
Conflict Env Final model by purvansh01
⭐ 38.8
🧠
Model

Conflict Env Final

by purvansh01 purvansh01/conflict-env-final
Free2AITools Nexus Index
38.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 71
Q: Quality 65
Tech Context
1.54 Params
32.768K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 38.8 FNI Score
Tiny 1.54B Params
32k Context
0 Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN2FORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID purvansh01/conflict-env-final
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{purvansh01_conflict_env_final,
  author = {purvansh01},
  title = {Conflict Env Final Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/purvansh01/conflict-env-final}},
  note = {Accessed via Free2AITools.}
}
APA Style
purvansh01. (2026). Conflict Env Final [Model]. Free2AITools. https://huggingface.co/purvansh01/conflict-env-final

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run conflict-env-final
πŸ€— HF Download
huggingface-cli download purvansh01/conflict-env-final
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) 71
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Conflict Env Final: Authority (A:0), Popularity (P:0), Recency (R:71), 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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⚠️ Incomplete Data

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

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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.
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--purvansh01--conflict-env-final
slug
purvansh01--conflict-env-final
source
huggingface
author
purvansh01
license
MIT
tags
transformers, safetensors, qwen2, text-generation, trl, grpo, conflict-env, reasoning, conversational, license:mit, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen2ForCausalLM
params billions
1.54
context length
32,768
pipeline tag
text-generation
vram gb
3.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.