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Datasci Coder 14b Lora model by jsmall12
⭐ 32.2
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Model

Datasci Coder 14b Lora

by jsmall12 jsmall12/datasci-coder-14b-lora
Free2AITools Nexus Index
32.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 69
Q: Quality 50
Tech Context
14 Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 32.2 FNI Score
14B Params
4k Context
0 Downloads
24G GPU ~12GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID jsmall12/datasci-coder-14b-lora
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~11.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{jsmall12_datasci_coder_14b_lora,
  author = {jsmall12},
  title = {Datasci Coder 14b Lora Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jsmall12/DataSci-Coder-14B-LoRA}},
  note = {Accessed via Free2AITools.}
}
APA Style
jsmall12. (2026). Datasci Coder 14b Lora [Model]. Free2AITools. https://huggingface.co/jsmall12/DataSci-Coder-14B-LoRA

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run datasci-coder-14b-lora
πŸ€— HF Download
huggingface-cli download jsmall12/datasci-coder-14b-lora

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) 69
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Datasci Coder 14b Lora: Authority (A:0), Popularity (P:0), Recency (R:69), Quality (Q:50). 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.
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--jsmall12--datasci-coder-14b-lora
slug
jsmall12--datasci-coder-14b-lora
source
huggingface
author
jsmall12
license
Apache-2.0
tags
peft, safetensors, qlora, data-science, code-generation, qwen2, lora, sft, unsloth, text-generation, conversational, en, base_model:qwen/qwen2.5-coder-14b-instruct, license:apache-2.0, region:us

βš™οΈ Technical Specs

params billions
14
context length
4,096
pipeline tag
text-generation
vram gb
11.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.