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Crow 9b Heretic 4.6 model by Crownelius
⭐ 56.9
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Model

Crow 9b Heretic 4.6

by Crownelius crownelius/crow-9b-heretic-4.6
Free2AITools Nexus Index
56.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 55
P: Popularity 50
R: Recency 76
Q: Quality 65
Tech Context
9.41 Params
32.768K Ctx
Vital Performance
23.9K DL / 30D
Source β†’
Low FNI signal 56.9 FNI Score
9.41B Params
32k Context
23.9K Downloads
24G GPU ~10GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID crownelius/crow-9b-heretic-4.6
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~9.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{crownelius_crow_9b_heretic_4_6,
  author = {Crownelius},
  title = {Crow 9b Heretic 4.6 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Crownelius/Crow-9B-HERETIC-4.6}},
  note = {Accessed via Free2AITools.}
}
APA Style
Crownelius. (2026). Crow 9b Heretic 4.6 [Model]. Free2AITools. https://huggingface.co/Crownelius/Crow-9B-HERETIC-4.6

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run crow-9b-heretic-4.6
πŸ€— HF Download
huggingface-cli download crownelius/crow-9b-heretic-4.6

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 55
Popularity (P) 50
Recency (R) 76
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Crow 9b Heretic 4.6: Authority (A:55), Popularity (P:50), Recency (R:76), 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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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
23.9KDownloads
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--crownelius--crow-9b-heretic-4.6
slug
crownelius--crow-9b-heretic-4.6
source
huggingface
author
Crownelius
license
Apache-2.0
tags
safetensors, gguf, qwen3_5, agent, en, zh, ru, es, fr, it, ja, ko, af, de, ar, tr, is, pl, sw, sv, nl, he, id, uk, fa, pa, pt, ms, fi, el, dataset:microsoft/rstar-coder, dataset:peteromallet/dataclaw-peteromallet, dataset:crownelius/opus-4.6-reasoning-3300x, dataset:openbmb/ultradata-math, dataset:unreleased/dataset, dataset:crownelius/crow-heretic-teichai-unified, base_model:trohrbaugh/qwen3.5-9b-heretic-v2, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
9.41
context length
32,768
pipeline tag
vram gb
9.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
23,925
stars
null
forks
null

Data indexed from public sources. Updated daily.