πŸ“Š
Medicine Llm dataset by AdaptLLM
⭐ 29.8
πŸ“Š
Dataset

Medicine Llm

by AdaptLLM adaptllm/medicine-llm
Free2AITools Nexus Index
29.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 33
R: Recency 5
Q: Quality 65
Tech Context
Vital Performance —
Source β†’
Data Integrity 29.8 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID adaptllm/medicine-llm
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_adaptllm_medicine_llm,
  author = {AdaptLLM},
  title = {Medicine Llm Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AdaptLLM/medicine-LLM}},
  note = {Accessed via Free2AITools.}
}
APA Style
AdaptLLM. (2026). Medicine Llm [Dataset]. Free2AITools. https://huggingface.co/AdaptLLM/medicine-LLM

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 51
Popularity (P) 33
Recency (R) 5
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Medicine Llm: Authority (A:51), Popularity (P:33), Recency (R:5), 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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Downloads
2,322

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Dataset Specification

No documentation available for this entry.

Social Proof

HuggingFace Hub
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πŸ€— Data Source: Hugging Face β†—
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Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--adaptllm--medicine-llm
slug
adaptllm--medicine-llm
source
huggingface
author
AdaptLLM
license
tags
transformers, pytorch, safetensors, llama, text-generation, biology, medical, en, dataset:open-orca/openorca, dataset:gair/lima, dataset:wizardlm/wizardlm_evol_instruct_v2_196k, dataset:eleutherai/pile, arxiv:2309.09530, arxiv:2411.19930, arxiv:2406.14491, text-generation-inference, endpoints_compatible, deploy:azure, region:us

βš™οΈ Technical Specs

architecture
LLaMAForCausalLM
params billions
6.74
context length
8,192
pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
2,322
stars
0
forks
0

Data indexed from public sources. Updated daily.