Fiction-focused fine-tune
The model card describes a 12B creative-writing fine-tune of Mistral-Nemo-Instruct-2407 aimed at long-form fiction with reduced LLM tells.
Open Source Model Profile · arbazsiddiqui
Ozan-v1-12B is a 12.25B-parameter Mistral creative-writing fine-tune from arbazsiddiqui. The model card describes low-slop long-form fiction from Mistral-Nemo-Instruct-2407.
Ozan-v1-12B is published by arbazsiddiqui as a text-generation fine-tune. The captured configuration identifies MistralForCausalLM with a mistral model type and Safetensors metadata reports 12247782400 parameters. According to the model card, it fine-tunes Mistral-Nemo-Instruct-2407 for low-slop long-form fiction.
The model card describes a 12B creative-writing fine-tune of Mistral-Nemo-Instruct-2407 aimed at long-form fiction with reduced LLM tells.
According to the model card, slop means over-used phrases such as barely above a whisper, addressed with curated non-GPT prose and human prompts.
According to the model card, SFT used QLoRA rank 32 on about 17k examples, followed by Gutenberg DPO rank 64, with decontaminated eval prompts.
The model card says training included uncensored and NSFW creative-writing sources and advises responsible use for mature fiction.
Source: arbazsiddiqui/Ozan-v1-12B
Captured: Unknown. Processed: 2026-09-07T19:36:07.377529+00:00.
Ozan-v1-12B A 12B creative-writing model tuned to write long-form fiction that doesn't sound like an LLM. Ozan means "storyteller / bard" in Turkish. The model is a fine-tune of Mistral-Nemo-Instruct-2407 built around one goal: low slop. "Slop" is the family of over-used LLM tells: "barely above a whisper," "a testament to," "couldn't help but," the reflexive "not just X, but Y." It comes mostly from training on GPT-style synthetic data, and it's the single biggest reason machine prose reads as machine prose. Ozan is trained, and measured , to avoid it. 📦 GGUF quants: arbazsiddiqui/Ozan-v1-12B-GGUF Full-precision (BF16): arbazsiddi…
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