🧠
Biohicl Base Gguf model by mradermacher
⭐ 37.3
🧠
Model

Biohicl Base Gguf

by mradermacher mradermacher/biohicl-base-gguf
Free2AITools Nexus Index
37.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 15
R: Recency 87
Q: Quality 30
Tech Context
Vital Performance
250 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.3 FNI Score
Tiny - Params
- Context
250 Downloads
Model Information Summary
Entity Passport
Registry ID mradermacher/biohicl-base-gguf
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mradermacher_biohicl_base_gguf,
  author = {mradermacher},
  title = {Biohicl Base Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/BioHiCL-Base-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Biohicl Base Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/BioHiCL-Base-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download mradermacher/biohicl-base-gguf
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) 15
Recency (R) 87
Quality (Q) 30

πŸ’¬ Index Insight

FNI V2.0 for Biohicl Base Gguf: Authority (A:0), Popularity (P:15), Recency (R:87), Quality (Q:30). 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

Technical Deep Dive

⚠️ 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.

Social Proof

HuggingFace Hub
250Downloads
Hub Discussions
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--mradermacher--biohicl-base-gguf
slug
mradermacher--biohicl-base-gguf
source
huggingface
author
mradermacher
license
tags
transformers, gguf, en, base_model:lunalan07/biohicl-base, base_model:quantized:lunalan07/biohicl-base, endpoints_compatible, region:us, feature-extraction

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
250
stars
0
forks
0

Data indexed from public sources. Updated daily.