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aurore-reveil_koto-small-7b-it
Koto-Small-7B-IT is an instruct-tuned version of Koto-Small-7B-PT, which was trained on MiMo-7B-Base for almost a billion tokens of creative-writing data. This model is meant for roleplaying and instruct usecases.
Repository: localaiLicense: mit
qwen3-the-xiaolong-omega-directive-22b-uncensored-abliterated-i1
WARNING: NSFW. Vivid prose. INTENSE. Visceral Details. Violence. HORROR. GORE. Swearing. UNCENSORED... humor, romance, fun.
A massive 22B, 62 layer merge of the fantastic "The-Omega-Directive-Qwen3-14B-v1.1" (by ReadyArt) and off the scale "Xiaolong-Qwen3-14B" (by nbeerbower) in Qwen3, with full reasoning (can be turned on or off) and the model is completely uncensored/abliterated too.
Repository: localaiLicense: apache-2.0
soob3123_amoral-gemma3-12b
A fine-tuned version of Google's Gemma 3 12B instruction-tuned model optimized for creative freedom and reduced content restrictions. This variant maintains strong reasoning capabilities while excelling in roleplaying scenarios and open-ended content generation.
Key Modifications:
Reduced refusal mechanisms compared to base model
Enhanced character consistency in dialogues
Improved narrative flow control
Optimized for multi-turn interactions
Intended Use
Primary Applications:
Interactive fiction and storytelling
Character-driven roleplaying scenarios
Creative writing assistance
Experimental AI interactions
Content generation for mature audiences
Repository: localaiLicense: apache-2.0
gemma-3-glitter-12b-i1
A creative writing model based on Gemma 3 12B IT.
This is a 50/50 merge of two separate trains:
ToastyPigeon/g3-12b-rp-system-v0.1 - ~13.5M tokens of instruct-based training related to RP (2:1 human to synthetic) and examples using a system prompt.
ToastyPigeon/g3-12b-storyteller-v0.2-textonly - ~20M tokens of completion training on long-form creative writing; 1.6M synthetic from R1, the rest human-created
Repository: localaiLicense: gemma
tarek07_legion-v2.1-llama-70b
My biggest merge yet, consisting of a total of 20 specially curated models. My methodology in approaching this was to create 5 highly specialized models:
A completely uncensored base A very intelligent model based on UGI, Willingness and NatInt scores on the UGI Leaderboard A highly descriptive writing model, specializing in creative and natural prose A RP model specially merged with fine-tuned models that use a lot of RP datasets The secret ingredient: A completely unhinged, uncensored final model
These five models went through a series of iterations until I got something I thought worked well and then combined them to make LEGION.
The full list of models used in this merge is below:
TheDrummer/Fallen-Llama-3.3-R1-70B-v1
Sao10K/Llama-3.3-70B-Vulpecula-r1
Sao10K/L3-70B-Euryale-v2.1
SicariusSicariiStuff/Negative_LLAMA_70B
allura-org/Bigger-Body-70b
Sao10K/70B-L3.3-mhnnn-x1
Sao10K/L3.3-70B-Euryale-v2.3
Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
Sao10K/L3.1-70B-Hanami-x1
Sao10K/70B-L3.3-Cirrus-x1
EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
TheDrummer/Anubis-70B-v1
ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
LatitudeGames/Wayfarer-Large-70B-Llama-3.3
NeverSleep/Lumimaid-v0.2-70B
mlabonne/Hermes-3-Llama-3.1-70B-lorablated
ReadyArt/Forgotten-Safeword-70B-3.6
ReadyArt/Fallen-Abomination-70B-R1-v4.1
ReadyArt/Fallen-Safeword-70B-R1-v4.1
huihui-ai/Llama-3.3-70B-Instruct-abliterated
Repository: localaiLicense: llama3.3
l3.3-genetic-lemonade-sunset-70b
Inspired to learn how to merge by the Nevoria series from SteelSkull.
I wasn't planning to release any more models in this series, but I wasn't fully satisfied with Unleashed or the Final version. I happened upon the below when testing merges and found myself coming back to it, so decided to publish.
Model Comparison
Designed for RP and creative writing, all three models are focused around striking a balance between writing style, creativity and intelligence.
Repository: localaiLicense: llama3.3
e-n-v-y_legion-v2.1-llama-70b-elarablated-v0.8-hf
This checkpoint was finetuned with a process I'm calling "Elarablation" (a portamenteau of "Elara", which is a name that shows up in AI-generated writing and RP all the time) and "ablation". The idea is to reduce the amount of repetitiveness and "slop" that the model exhibits. In addition to significantly reducing the occurrence of the name "Elara", I've also reduced other very common names that pop up in certain situations. I've also specifically attacked two phrases, "voice barely above a whisper" and "eyes glinted with mischief", which come up a lot less often now. Finally, I've convinced it that it can put a f-cking period after the word "said" because a lot of slop-ish phrases tend to come after "said,".
You can check out some of the more technical details in the overview on my github repo, here:
https://github.com/envy-ai/elarablate
My current focus has been on some of the absolute worst offending phrases in AI creative writing, but I plan to go after RP slop as well. If you run into any issues with this model (going off the rails, repeating tokens, etc), go to the community tab and post the context and parameters in a comment so I can look into it. Also, if you have any "slop" pet peeves, post the context of those as well and I can try to reduce/eliminate them in the next version.
The settings I've tested with are temperature at 0.7 and all other filters completely neutral. Other settings may lead to better or worse results.
Repository: localaiLicense: llama3.3
invisietch_l3.3-ignition-v0.1-70b
Ignition v0.1 is a Llama 3.3-based model merge designed for creative roleplay and fiction writing purposes. The model underwent a multi-stage merge process designed to optimise for creative writing capability, minimising slop, and improving coherence when compared with its constituent models.
The model shows a preference for detailed character cards and is sensitive to detailed system prompting. If you want a specific behavior from the model, try prompting for it directly.
Inferencing has been tested at fp8 and fp16, and both are coherent up to ~64k context.
Repository: localaiLicense: llama3.3
llama-3.1-8b-stheno-v3.4-iq-imatrix
This model has went through a multi-stage finetuning process.
- 1st, over a multi-turn Conversational-Instruct
- 2nd, over a Creative Writing / Roleplay along with some Creative-based Instruct Datasets.
- - Dataset consists of a mixture of Human and Claude Data.
Prompting Format:
- Use the L3 Instruct Formatting - Euryale 2.1 Preset Works Well
- Temperature + min_p as per usual, I recommend 1.4 Temp + 0.2 min_p.
- Has a different vibe to previous versions. Tinker around.
Changes since previous Stheno Datasets:
- Included Multi-turn Conversation-based Instruct Datasets to boost multi-turn coherency. # This is a separate set, not the ones made by Kalomaze and Nopm, that are used in Magnum. They're completely different data.
- Replaced Single-Turn Instruct with Better Prompts and Answers by Claude 3.5 Sonnet and Claude 3 Opus.
- Removed c2 Samples -> Underway of re-filtering and masking to use with custom prefills. TBD
- Included 55% more Roleplaying Examples based of [Gryphe's](https://huggingface.co/datasets/Gryphe/Sonnet3.5-Charcard-Roleplay) Charcard RP Sets. Further filtered and cleaned on.
- Included 40% More Creative Writing Examples.
- Included Datasets Targeting System Prompt Adherence.
- Included Datasets targeting Reasoning / Spatial Awareness.
- Filtered for the usual errors, slop and stuff at the end. Some may have slipped through, but I removed nearly all of it.
Personal Opinions:
- Llama3.1 was more disappointing, in the Instruct Tune? It felt overbaked, atleast. Likely due to the DPO being done after their SFT Stage.
- Tuning on L3.1 base did not give good results, unlike when I tested with Nemo base. unfortunate.
- Still though, I think I did an okay job. It does feel a bit more distinctive.
- It took a lot of tinkering, like a LOT to wrangle this.
Repository: localaiLicense: cc-by-nc-4.0
llama3.1-darkstorm-aspire-8b
Welcome to Llama3.1-DarkStorm-Aspire-8B — an advanced and versatile 8B parameter AI model born from the fusion of powerful language models, designed to deliver superior performance across research, writing, coding, and creative tasks. This unique merge blends the best qualities of the Dark Enigma, Storm, and Aspire models, while built on the strong foundation of DarkStock. With balanced integration, it excels in generating coherent, context-aware, and imaginative outputs.
Llama3.1-DarkStorm-Aspire-8B combines cutting-edge natural language processing capabilities to perform exceptionally well in a wide variety of tasks:
Research and Analysis: Perfect for analyzing textual data, planning experiments, and brainstorming complex ideas.
Creative Writing and Roleplaying: Excels in creative writing, immersive storytelling, and generating roleplaying scenarios.
General AI Applications: Use it for any application where advanced reasoning, instruction-following, and creativity are needed.
Repository: localaiLicense: apache-2.0
l3.1-70blivion-v0.1-rc1-70b-i1
70Blivion v0.1 is a model in the release candidate stage, based on a merge of L3.1 Nemotron 70B & Euryale 2.2 with a healing training step. Further training will be needed to get this model to release quality.
This model is designed to be suitable for creative writing and roleplay. This RC is not a finished product, but your feedback will drive the creation of better models.
This is a release candidate model. It has some known issues and probably some unknown ones too, because the purpose of these early releases is to seek feedback.
Repository: localaiLicense: llama3.1
l3.1-aspire-heart-matrix-8b
ZeroXClem/L3-Aspire-Heart-Matrix-8B is an experimental language model crafted by merging three high-quality 8B parameter models using the Model Stock Merge method. This synthesis leverages the unique strengths of Aspire, Heart Stolen, and CursedMatrix, creating a highly versatile and robust language model for a wide array of tasks.
Repository: localaiLicense: apache-2.0
pocketdoc_dans-sakurakaze-v1.0.0-12b
A model based on Dans-PersonalityEngine-V1.1.0-12b with a focus on character RP, visual novel style group chats, old school text adventures, and co-writing.
Repository: localaiLicense: apache-2.0
delta-vector_archaeo-12b-v2
A series of Merges made for Roleplaying & Creative Writing, This model uses Rei-V3-KTO-12B and Francois-PE-V2-Huali-12B and Slerp to merge the 2 models - as a sequel to the OG Archaeo.
Repository: localaiLicense: apache-2.0
delta-vector_austral-24b-winton
More than 1.5-metres tall, about six-metres long and up to 1000-kilograms heavy, Australovenator Wintonensis was a fast and agile hunter. The largest known Australian theropod.
This is a finetune of Harbinger 24B to be a generalist Roleplay/Adventure model. I've removed some of the "slops" that i noticed in an otherwise great model aswell as improving the general writing of the model, This was a multi-stage finetune, all previous checkpoints are released aswell.
Repository: localaiLicense: apache-2.0
mistral-small-3.2-46b-the-brilliant-raconteur-ii-instruct-2506
WARNING: MADNESS - UN HINGED and... NSFW. Vivid prose. INTENSE. Visceral Details. Violence. HORROR. GORE. Swearing. UNCENSORED... humor, romance, fun.
Mistral-Small-3.2-46B-The-Brilliant-Raconteur-II-Instruct-2506
This repo contains the full precision source code, in "safe tensors" format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats. The source code can also be used directly.
ABOUT:
A stronger, more creative Mistral (Mistral-Small-3.2-24B-Instruct-2506) extended to 79 layers, 46B parameters with Brainstorm 40x by DavidAU (details at very bottom of the page). This is version II, which has a jump in detail, and raw emotion relative to version 1.
This model pushes Mistral's Instruct 2506 to the limit:
Regens will be very different, even with same prompt / settings.
Output generation will vary vastly on each generation.
Reasoning will be changed, and often shorter.
Prose, creativity, word choice, and general "flow" are improved.
Several system prompts below help push this model even further.
Model is partly de-censored / abliterated. Most Mistrals are more uncensored that most other models too.
This model can also be used for coding too; even at low quants.
Model can be used for all use cases too.
As this is an instruct model, this model thrives on instructions - both in the system prompt and/or the prompt itself.
One example below with 3 generations using Q4_K_S.
Second example below with 2 generations using Q4_K_S.
Quick Details:
Model is 128k context, Jinja template (embedded) OR Chatml Template.
Reasoning can be turned on/off (see system prompts below) and is OFF by default.
Temp range .1 to 1 suggested, with 1-2 for enhanced creative. Above temp 2, is strong but can be very different.
Rep pen range: 1 (off) or very light 1.01, 1.02 to 1.05. (model is sensitive to rep pen - this affects reasoning / generation length.)
For creative/brainstorming use: suggest 2-5 generations due to variations caused by Brainstorm.
Observations:
Sometimes using Chatml (or Alpaca / others ) template (VS Jinja) will result in stronger creative generation.
Model can be operated with NO system prompt; however a system prompt will enhance generation.
Longer prompts, that more detailed, with more instructions will result in much stronger generations.
For prose directives: You may need to add directions, because the model may follow your instructions too closely. IE: "use short sentences" vs "use short sentences sparsely".
Reasoning (on) can lead to better creative generation, however sometimes generation with reasoning off is better.
Rep pen of up to 1.05 may be needed on quants Q2k/q3ks for some prompts to address "low bit" issues.
Detailed settings, system prompts, how to and examples below.
NOTES:
Image generation should also be possible with this model, just like the base model. Brainstorm was not applied to the image generation systems of the model... yet.
This is Version II and subject to change / revision.
This model is a slightly different version of:
https://huggingface.co/DavidAU/Mistral-Small-3.2-46B-The-Brilliant-Raconteur-Instruct-2506
Repository: localaiLicense: apache-2.0