Filter by type:
Filter by tags:
allura-org_q3-8b-kintsugi
Q3-8B-Kintsugi is a roleplaying model finetuned from Qwen3-8B-Base.
During testing, Kintsugi punched well above its weight class in terms of parameters, especially for 1-on-1 roleplaying and general storywriting.
Repository: localaiLicense: apache-2.0
gemma-3-starshine-12b-i1
A creative writing model based on a merge of fine-tunes on Gemma 3 12B IT and Gemma 3 12B PT.
This is the Story Focused merge. This version works better for storytelling and scenarios, as the prose is more novel-like and it has a tendency to impersonate the user character.
See the Alternate RP Focused version as well.
This is a merge of two G3 models, one trained on instruct and one trained on base:
allura-org/Gemma-3-Glitter-12B - Itself a merge of a storywriting and RP train (both also by ToastyPigeon), on instruct
ToastyPigeon/Gemma-3-Confetti-12B - Experimental application of the Glitter data using base instead of instruct, additionally includes some adventure data in the form of SpringDragon.
The result is a lovely blend of Glitter's ability to follow instructions and Confetti's free-spirit prose, effectively 'loosening up' much of the hesitancy that was left in Glitter.
Repository: localaiLicense: gemma
control-nanuq-8b
The model is a fine-tuned version of LLaMA 3.1 8B Supernova, designed to be "short and sweet" by minimizing narration and lengthy responses. It was fine-tuned over 4 epochs using OpenCAI and RP logs, with DPO applied to enhance coherence. Finally, KTO reinforcement learning was implemented on version 1.1, significantly improving the model's prose and creativity.
Repository: localaiLicense: llama3.1
hamanasu-adventure-4b-i1
Thanks to PocketDoc's Adventure datasets and taking his Dangerous Winds models as inspiration, I was able to finetune a small Adventure model that HATES the User
The model is suited for Text Adventure, All thanks to Tav for funding the train.
Support me and my finetunes on Ko-Fi https://ko-fi.com/deltavector
Repository: localaiLicense: llama3.1
hamanasu-magnum-4b-i1
This is a model designed to replicate the prose quality of the Claude 3 series of models. specifically Sonnet and Opus - Made with a prototype magnum V5 datamix.
The model is suited for traditional RP, All thanks to Tav for funding the train.
Support me and my finetunes on Ko-Fi https://ko-fi.com/deltavector
Repository: localaiLicense: llama3.1
chronos-gold-12b-1.0
Chronos Gold 12B 1.0 is a very unique model that applies to domain areas such as general chatbot functionatliy, roleplay, and storywriting. The model has been observed to write up to 2250 tokens in a single sequence. The model was trained at a sequence length of 16384 (16k) and will still retain the apparent 128k context length from Mistral-Nemo, though it deteriorates over time like regular Nemo does based on the RULER Test
As a result, is recommended to keep your sequence length max at 16384, or you will experience performance degredation.
The base model is mistralai/Mistral-Nemo-Base-2407 which was heavily modified to produce a more coherent model, comparable to much larger models.
Chronos Gold 12B-1.0 re-creates the uniqueness of the original Chronos with significiantly enhanced prompt adherence (following), coherence, a modern dataset, as well as supporting a majority of "character card" formats in applications like SillyTavern.
It went through an iterative and objective merge process as my previous models and was further finetuned on a dataset curated for it.
The specifics of the model will not be disclosed at the time due to dataset ownership.
Repository: localaiLicense: apache-2.0
dans-personalityengine-v1.1.0-12b
This model series is intended to be multifarious in its capabilities and should be quite capable at both co-writing and roleplay as well as find itself quite at home performing sentiment analysis or summarization as part of a pipeline. It has been trained on a wide array of one shot instructions, multi turn instructions, tool use, role playing scenarios, text adventure games, co-writing, and much more.
Repository: localaiLicense: apache-2.0
trappu_magnum-picaro-0.7-v2-12b
This model is a merge between Trappu/Nemo-Picaro-12B, a model trained on my own little dataset free of synthetic data, which focuses solely on storywriting and scenrio prompting (Example: [ Scenario: bla bla bla; Tags: bla bla bla ]), and anthracite-org/magnum-v2-12b.
The reason why I decided to merge it with Magnum (and don't recommend Picaro alone) is because that model, aside from its obvious flaws (rampant impersonation, stupid, etc...), is a one-trick pony and will be really rough for the average LLM user to handle. The idea was to have Magnum work as some sort of stabilizer to fix the issues that emerge from the lack of multiturn/smart data in Picaro's dataset. It worked, I think. I enjoy the outputs and it's smart enough to work with.
But yeah the goal of this merge was to make a model that's both good at storytelling/narration but also fine when it comes to other forms of creative writing such as RP or chatting. I don't think it's quite there yet but it's something for sure.
Repository: localaiLicense: apache-2.0
rei-v3-kto-12b
Taking the previous 12B trained with Subseqence Loss - This model is meant to refine the base's sharp edges and increase coherency, intelligence and prose while replicating the prose of the Claude models Opus and Sonnet
Fine-tuned on top of Rei-V3-12B-Base, Rei-12B is designed to replicate the prose quality of Claude 3 models, particularly Sonnet and Opus, using a prototype Magnum V5 datamix.
Repository: localaiLicense: apache-2.0