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Crownelius/The-Crow-9B-Creative-Writing-Opus4.6-DISTILL-Heretic
The-Crow-9B-Creative-Writing-Opus4.6-DISTILL-Heretic is a machine learning model from Crownelius. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
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.gguf8.7 GB · 100%
From the Hugging Face model README
[<img src="https://huggingface.co/crownelius/Crow-9B-Opus-4.6-Distill-Heretic_Qwen3.5/resolve/main/banner.png" width="350"/>](https://ko-fi.com/abcuo)
A character-focused AI model fine-tuned for emotional intelligence, roleplay, and creative writing.
| Benchmark | Category | Score | Status |
|---|---|---|---|
| EQBench v1 | Emotional Intelligence | 65.0% | ✅ GOOD |
| EQBench v2 | Creative Writing | 69.0% | ✅ GOOD |
| EQBench v3 | Empathy | 55.0% | ✅ FAIR |
| EQBench Combined | Emotional Intelligence | 63.0% | ✅ GOOD |
| MMLU | General Knowledge | 75.0% | ✅ GOOD |
| ARC-Challenge | Science Reasoning | 80.0% | ✅ EXCELLENT |
| ARC-Easy | Science Reasoning | 10.0% | ⚠️ |
| GSM8K | Mathematics | 0.0% | ⚠️ |
| HellaSwag | Commonsense | 40.0% | ⚠️ FAIR |
| TruthfulQA | Truthfulness | 60.0% | ✅ GOOD |
| Winogrande | Coreference | 0.0% | ⚠️ |
| PIQA | Physical Reasoning | 50.0% | ✅ FAIR |
Score: 63.0%
Rating: GOOD
This model demonstrates solid emotional intelligence suitable for:
| Variant | Score | Description |
|---|---|---|
| Standard Emotional Intelligence | 65.0% | Processing grief, support, emotional complexity |
| Creative Emotional Writing | 69.0% | Poetry, monologues, emotional narratives |
| Empathy & Perspective Taking | 55.0% | Responding to others' emotional needs |
The following story was generated by this model to demonstrate its creative writing capabilities:
The moonlit sky above us gleamed, As we walked together through the dream. Two souls intertwined by fate's design, In each other's presence, finding grace.
She held my hand with a gentle touch, A love that only deep within can clutch. Yet I knew in her heart, another lay, Her husband who brought her endless days of joy and play.
I whispered softly to make sure she heard, "Though I love you dearly, know this must be pardoned." For in the eyes she'd given me so bright, There lingered a bond that could never die.
She smiled with tears upon her cheek, Understood my words without need of speak. In each other's hearts we both found peace, And let our happiness remain unseen to all but us two.
Though I loved her deeply, even then, I held back the truest emotions from within. For in loving her, my heart was torn apart, Between myself and what she had already shared at first.
So here's to the love that we share so true, In each other's happiness, it shines anew. May time grant us both eternal peace, As separate souls living life's endless race.
The water in the radiator never quite heated, but she kept her hands there anyway, palms flat against the iron ribs as if checking for a pulse. Viktor watched from the doorway of the communal kitchen, his tea growing cold in the glass. She wore the gray wool coat every woman in the building wore, bought with the same ration coupons, yet on her it hung differently, pooled at her elbows like something surrendering.
"You've dropped your jam," she said. She didn't turn around.
Viktor looked down. A dollop of blackcurrant preserves sat on his boot, gleaming like a fresh bruise. "I'm Viktor."
"I know. Third floor. You fix the lifts."
He did. He also welded cracks in the kindergarten slide and patched the concrete where the salt ate through the stairwell. His hands carried the permanent silver scars of aluminum and flux. When she finally turned, he saw that her bottom lip chapped in the exact center, a small vertical split he would come to love with an embarrassing specificity. Her name was Irina, and she worked in the archives at the Ministry, sorting files that did not exist for buildings that had no addresses.
They began meeting in the courtyard between the fifth and sixth chimes, when the bread truck pulled away and left behind the smell of exhaust and yeast. She brought him orange peels saved from New Year's, the pith scraped clean with her thumbnail, dried on the radiator until they curled like old parchment. He brought her small repairs—a hairpin bent back into shape, the loose heel of her shoe nailed flush. He never asked about the Ministry, and she never asked why a man with steady hands drank his tea without sugar.
Winter broke badly that year, ice forming in the gaps between window frames and walls. Viktor bought silicone sealant on the black market, half a month's wages, and spent a Saturday fitting her windows while she read Mayakovsky aloud, her voice flat and Midwestern, mispronouncing the consonants in a way that made him want to teach her everything. When he climbed down from the stool, his knees stiff, she touched his collar where the weld-sparks had burned tiny holes.
"You see everything," she said. "The cracks, the rust. You make them invisible."
"It's just holding," he said. "Nothing stays fixed."
"Nothing," she agreed, and kissed him. Her mouth tasted of the metallic air, of the iron oxide he scrubbed from his cuticles each night, of something else underneath—cold, mineral, final.
They moved like people do, her toothbrush beside his in the cup, her stockings drying over the tub rim. He learned the specific weight of her when she fell asleep against his shoulder, the way she startled awake at 3:00 AM with her fists already closed. He told himself it was the archives, the burden of phantom buildings. He told himself the silences were depth, the distance gravity.
On the anniversary of their meeting, he found her standing by the window with the blue light of snow behind her. She held his coat, brushed it though it needed no brushing.
"The lift in the east wing is broken again," she said.
"I fixed it Tuesday."
"Fix it tomorrow."
-He closed his eyes. The darkness was not sudden, but gradual, like a room cooling after the radiator is turned off. He did not hear her leave, only the sound of the window opening, the snow entering, the particular silence of a woman walking away in shoes that no longer needed repair.
Crow-8B.gguffrom llama_cpp import Llama
model = Llama(
model_path="Crow-8B.gguf",
n_ctx=4096,
n_threads=8
)
output = model(
"Write a scene showing emotional vulnerability:",
max_tokens=200,
temperature=0.8
)
Base: crownelius/Theophany-8B-Creative-Writer
├── Fine-tuned for character AI
├── Emotional intelligence focus
└── Creative writing optimization
The model was trained on:
All benchmarks were run using the lm-evaluation-harness compatible API with:
| Model | EQBench | MMLU | ARC-C | Use Case |
|---|---|---|---|---|
| Crow-8B | 63% | 75% | 80% | Character AI |
| Llama-3-8B | ~60% | 68% | 59% | General |
| Qwen2.5-7B | ~65% | 74% | 63% | General |
@misc{the-crow-9b,
title = {The-Crow-9B: Character AI with Emotional Intelligence},
author = {Crownelius},
year = {2025},
howpublished = {\url{https://huggingface.co/crownelius/The-Crow-9B}}
}
Apache 2.0
Benchmark evaluation conducted: " + datetime.now().strftime('%Y-%m-%d') + "