🧠
Joyai Llm Flash Int4 model by jdopensource
⭐ 33.6
🧠
Model

Joyai Llm Flash Int4

by jdopensource jdopensource/joyai-llm-flash-int4
Free2AITools Nexus Index
33.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 4
R: Recency 81
Q: Quality 65
Tech Context
50.02 Params
4.096K Ctx
Vital Performance
40 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 33.6 FNI Score
50.02B Params
4k Context
40 Downloads
H100+ ~40GB Est. VRAM
Dense DEEPSEEKV3FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID jdopensource/joyai-llm-flash-int4
Provider huggingface
πŸ’Ύ

Compute Threshold

~40GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{jdopensource_joyai_llm_flash_int4,
  author = {jdopensource},
  title = {Joyai Llm Flash Int4 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jdopensource/JoyAI-LLM-Flash-INT4}},
  note = {Accessed via Free2AITools.}
}
APA Style
jdopensource. (2026). Joyai Llm Flash Int4 [Model]. Free2AITools. https://huggingface.co/jdopensource/JoyAI-LLM-Flash-INT4

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run joyai-llm-flash-int4
πŸ€— HF Download
huggingface-cli download jdopensource/joyai-llm-flash-int4
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) 39
Popularity (P) 4
Recency (R) 81
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Joyai Llm Flash Int4: Authority (A:39), Popularity (P:4), Recency (R:81), 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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πŸš€ What's Next?

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Deployment reference

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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.

Social Proof

HuggingFace Hub
40Downloads
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--jdopensource--joyai-llm-flash-int4
slug
jdopensource--joyai-llm-flash-int4
source
huggingface
author
jdopensource
tags
transformers, safetensors, joyai_llm_flash, text-generation, conversational, custom_code, zh, en, endpoints_compatible, compressed-tensors, region:us

βš™οΈ Technical Specs

architecture
DeepseekV3ForCausalLM
params billions
50.02
context length
4,096
pipeline tag
text-generation
vram gb
40
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
40
stars
0
forks
0

Data indexed from public sources. Updated daily.