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Finer Sql 0.5b Core Rl3000 A6000 20261023 model by thanhdath
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Model

Finer Sql 0.5b Core Rl3000 A6000 20261023

by thanhdath thanhdath/finer-sql-0.5b-core-rl3000-a6000-20261023
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 99
Q: Quality 65
Tech Context
0.49B Params
32.768K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 0.49B Params
32k Context
0 Downloads
8G GPU ~3GB Est. VRAM
Dense QWEN2FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID thanhdath/finer-sql-0.5b-core-rl3000-a6000-20261023
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{thanhdath_finer_sql_0_5b_core_rl3000_a6000_20261023,
  author = {thanhdath},
  title = {Finer Sql 0.5b Core Rl3000 A6000 20261023 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/thanhdath/FINER-SQL-0.5B-CoRE-RL3000-a6000-20261023}},
  note = {Accessed via Free2AITools.}
}
APA Style
thanhdath. (2026). Finer Sql 0.5b Core Rl3000 A6000 20261023 [Model]. Free2AITools. https://huggingface.co/thanhdath/FINER-SQL-0.5B-CoRE-RL3000-a6000-20261023

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run finer-sql-0.5b-core-rl3000-a6000-20261023
πŸ€— HF Download
huggingface-cli download thanhdath/finer-sql-0.5b-core-rl3000-a6000-20261023
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) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Finer Sql 0.5b Core Rl3000 A6000 20261023: Authority (A:0), Popularity (P:0), Recency (R:99), 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.

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--thanhdath--finer-sql-0.5b-core-rl3000-a6000-20261023
slug
thanhdath--finer-sql-0.5b-core-rl3000-a6000-20261023
source
huggingface
author
thanhdath
tags
transformers, safetensors, qwen2, text-generation, text-to-sql, reinforcement-learning, research, negative-result, base_model:griffith-bigdata/finer-sql-0.5b-bird, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen2ForCausalLM
params billions
0.49
context length
32,768
pipeline tag
reinforcement-learning
vram gb
2.9
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.