--- base_model: DreamFast/qwen3-4b-heretic tags: - Uncensored - text-generation-inference - transformers - unsloth - qwen3 - trl - roleplay - conversational license: agpl-3.0 pipeline_tag: text-generation language: - en datasets: - N-Bot-Int/Iris-Uncensored-Reformat-R2 - N-Bot-Int/RP-Mixed-v1 library_name: transformers new_version: N-Bot-Int/ElaNore3-4B_ADJUSTED_DPO-merged --- # ADJUSTED MODEL, trained to respond better and handle context more precisely than the base MODEL! (USE EITHER VERSIONS! The base model is not yet DEPRECATED) # ElaNore3-4B - Is Now Released! ![image](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/zSbeADIRxvkm3MzCmE_2m.png) - IMAGE GENERATED USING CHATGPT! # ElaNore3-4B, The Newest And BEST model WE HAVE MADE! - Feast your Eyes on ElaNore3-4B, trained on Qwen3-4B(CREDIT TO DREAMFAST for the HERETIC Base) - ElaNore3-4B, Is trained on Google Colab, with a goal of Making The **BEST** Smallest RP model that can be Run on any hardware! - ElaNore3 specializes in **Roleplaying** scenarios, with specialization on **ChatML** format! *READ MORE FOR MORE INFO* 4 BILLIONS PARAMS MODEL # ElaNore3-4B Model Procedure/Methodology: - **ElaNore3-4B** is trained Using **DreamFast**'s Heretical Version of the Base Model(Qwen3-4B). Dataset is prepared for ElaNore, with 6K Rows/Entry of Carefully Picked RP scenarios and Dataset From Iris-Uncensored-Reformat-R2, Synthetically Made Dataset Entry(4k combined) from Hermes, and Human Roleplay Entries available here in Huggingface. Forming The final Dataset Named: RP-MIXED-V2, which contains 60% Synthetic Dataset, 40% Human-Written Dataset all finetuned for RP in mind - 4k synthetically made dataset contains the following: - Single Roleplay - MultiTurn Roleplay - Narration Roleplay - 2k Human Dataset contains the following: - Human Written Roleplay - Small Salvaged Dataset from Iris Uncensored Reformat R2 - **ElaNore3-4B** is Trained using Unsloth, SFT with 3 Epochs with final Training loss of 1.4 using the RP-MIXED-V2 dataset, Trained on **GOOGLE COLAB FREE TIER** T4 GPU which took half a day to train(Lucky Me) - **ElaNore3-4B** is Our Brand New Powerful Model, If you ever encountered any issue, Want to commission us, or have any suggestions, please email us directly through [nexus.networkinteractives@gmail.com](mailto:nexus.networkinteractives@gmail.com) we value any reports, suggestions to how we improve future Model, Once again feel free to finetune the model to your likings, However please consider Adding this Page for **CREDITS** - Please handle the AI with Care and ethical considerations, when **FINETUNING** this AI model, due to its **UNCENSORED** Nature. - We are not responsible for what this model generates. Use it responsibly and legally. You downloaded it, you own what you do with it. - **ElaNore3-4B** is - **Developed by:** N-Bot-Int - **License:** gpl 3.0 **EQ Bench V2 score(LEGACY BUT V3 IS EXPENSIVE AS FUQ soooooooo)** ![my_model_eqbench_run_results-SHOWCASE](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/B0VZ4dofVKQe599CEmKVv.png) - **Slightly lowered due to EQ Bench not using ChatML which dipped the AI Model's performance slightly!** - **METRIC SCORES ARE HIGHLY SUBJECTIVE, Feel free to use the model and judge them yourselves!** - # Notice - **For a Good Experience, Please use** - (PLEASE CALIBRATE THE MODEL DEPENDING ON THE CHARACTER CARD YOU USE) - USE A SYSTEM PROMPT IF YOU NEED ACTIONS WRAPPED IN "*", Hermes does not use it nor human Roleplay on the dataset, hence the model obtained a bias to not use asterisk on actions, but use double-quotes on character's words - USE **CHATML**, the AI MODEL IS FINETUNED TO USE CHATML more than any other format! - # Detail card: - Parameter - 4 Billion Parameters - (Please check your GPU Core, VRAM, CPU and RAM to see if you can comfortably run 4B models) - Finetuning tool: - Unsloth AI - This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth) - Fine-tuned Using: - Google Colab Free Tier