πŸ“Š
Dataset

Phi Medical Qa Finetune 16bit

by A Kishore a-kishore/phi_medical_qa_finetune_16bit
Free2AITools Nexus Index
38.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 6
R: Recency 80
Q: Quality 65
Tech Context
Vital Performance
Data Integrity 38.9 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID a-kishore/phi_medical_qa_finetune_16bit
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset_a_kishore_phi_medical_qa_finetune_16bit,
  author = {A Kishore},
  title = {Phi Medical Qa Finetune 16bit Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/A-Kishore/phi_medical_qa_finetune_16bit}},
  note = {Accessed via Free2AITools.}
}
APA Style
A Kishore. (2026). Phi Medical Qa Finetune 16bit [Dataset]. Free2AITools. https://huggingface.co/A-Kishore/phi_medical_qa_finetune_16bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 6
Recency (R) 80
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Phi Medical Qa Finetune 16bit: Authority (A:0), Popularity (P:6), Recency (R:80), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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Downloads
59

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Dataset Specification

No documentation available for this entry.

Social Proof

HuggingFace Hub
59Downloads
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Source summary: Based on Hugging Face metadata. Not a recommendation.

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πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--a-kishore--phi_medical_qa_finetune_16bit
slug
a-kishore--phi_medical_qa_finetune_16bit
source
huggingface
author
A Kishore
license
Apache-2.0
tags
transformers, safetensors, mistral, text-generation, medical-qa, qlora, peft, unsloth, trl, question-answering, en, dataset:medalpaca/medical_meadow_medqa, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
MistralForCausalLM
params billions
3.82
context length
32,768
pipeline tag
question-answering

πŸ“Š Engagement & Metrics

downloads
59
stars
null
forks
null

Data indexed from public sources. Updated daily.