🧠
Llada 8b Base model by Gsai Ml
⭐ 42.4
🧠
Model

Llada 8b Base

by Gsai Ml hf-model--gsai-ml--llada-8b-base
Nexus Index
42.4 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 63
R: Recency 69
Q: Quality 50
Tech Context
8 Params
4.096K Ctx
Vital Performance
293.6K DL / 30D
0.0%
Source →
Audited 42.4 FNI Score
8B Params
4k Context
Hot 293.6K Downloads
8G GPU ~8GB Est. VRAM
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--gsai-ml--llada-8b-base
License MIT
Provider huggingface
💾

Compute Threshold

~7.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__gsai_ml__llada_8b_base,
  author = {Gsai Ml},
  title = {Llada 8b Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/gsai-ml/llada-8b-base}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Gsai Ml. (2026). Llada 8b Base [Model]. Free2AITools. https://huggingface.co/gsai-ml/llada-8b-base

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run llada-8b-base
🤗 HF Download
huggingface-cli download gsai-ml/llada-8b-base
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
42.4
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 63
Recency (R) 69
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Llada 8b Base: Semantic (S:50), Authority (A:0), Popularity (P:63), Recency (R:69), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

LLaDA-8B-Base

We introduce LLaDA, a diffusion model with an unprecedented 8B scale, trained entirely from scratch, rivaling LLaMA3 8B in performance.

Project Page

Code

Updates

[2025-10-21] We have modified modeling_llada.py to support the input of attention_mask.

⚠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.

Social Proof

HuggingFace Hub
293.6KDownloads
Hub Discussions
🤗 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--gsai-ml--llada-8b-base
slug
gsai-ml--llada-8b-base
source
huggingface
author
Gsai Ml
license
MIT
tags
llada, nullB, text-generation, transformers, safetensors, conversational, custom_code, license:mit, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
8
context length
4,096
pipeline tag
text-generation
vram gb
7.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
293,563
stars
0
forks
0

Data indexed from public sources. Updated daily.