| --- |
| license: apache-2.0 |
| tags: |
| - unsloth |
| - Uncensored |
| - text-generation-inference |
| - transformers |
| - unsloth |
| - llama |
| - trl |
| - roleplay |
| - conversational |
| datasets: |
| - iamketan25/roleplay-instructions-dataset |
| - N-Bot-Int/Iris-Uncensored-R1 |
| - N-Bot-Int/Moshpit-Combined-R2-Uncensored |
| - N-Bot-Int/Mushed-Dataset-Uncensored |
| - N-Bot-Int/Muncher-R1-Uncensored |
| - N-Bot-Int/Millia-R1_DPO |
| language: |
| - en |
| base_model: |
| - N-Bot-Int/MiniMaid-L1 |
| pipeline_tag: text-generation |
| library_name: peft |
| metrics: |
| - character |
| - bleu |
| - rouge |
| --- |
| # THIS IS THE FINAL MiniMaid-L Series, This is because we've hit the final Ceiling for a 1B model! Thank you so much for your Support! |
| - If you loved our Models, then please consider donating and supporting us through Ko-fi! |
| - [](https://ko-fi.com/J3J61D8NHV) |
| |
|  |
| # MiniMaid-L3 |
| - Introducing MiniMaid-L3 model! Our brand new finetuned MiniMaid-L2 Architecture, allowing for an Even More Coherent and |
| Immersive Roleplay through the Use of Knowledge distillation! |
|
|
| - MiniMaid-L3 is a Small Update to L2, Which uses Knowledge distillation to combine our L2 Architecture, and A Popular |
| Roleplaying Model named MythoMax, which also uses a Combanant Technology to Combine models and create MythoMax-7B, |
| MiniMaid-L3 on the other hand is a distillation of MiniMaid-L2, combined with using MythoMax Knowledge Distillation, |
| which created MiniMaid-L3, a More Capable Model that Outcompete its descendance in both roleplaying scenarios |
| And even Knock MiniMaid-L2's BLEU scoring! |
|
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|
|
| # MiniMaid-L1 Base-Model Card Procedure: |
| - **MiniMaid-L1** achieve a good Performance through process of DPO and Combined Heavy Finetuning, To Prevent Overfitting, |
| We used high LR decays, And Introduced Randomization techniques to prevent the AI from learning and memorizing, |
| However since training this on Google Colab is difficult, the Model might underperform or underfit on specific tasks |
| Or overfit on knowledge it manage to latched on! However please be guided that we did our best, and it will improve as we move onwards! |
|
|
| - MiniMaid-L3 is Another Instance of Our Smallest Model Yet! if you find any issue, then please don't hesitate to email us at: |
| [nexus.networkinteractives@gmail.com](mailto:nexus.networkinteractives@gmail.com) |
| about any overfitting, or improvements for the future Model **V4**, |
| Once again feel free to Modify the LORA to your likings, However please consider Adding this Page |
| for credits and if you'll increase its **Dataset**, then please handle it with care and ethical considerations |
|
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|
| |
| - MiniMaid-L3 is |
| - **Developed by:** N-Bot-Int |
| - **License:** apache-2.0 |
| - **Parent Model from model:** unsloth/llama-3.2-3b-instruct-unsloth-bnb-1bit |
| - **Dataset Combined Using:** NKDProtoc(Propietary Software) |
|
|
| - MiniMaid-L3 Official Metric Score |
|  |
| - Metrics Made By **ItsMeDevRoland** |
| Which compares: |
| - **MiniMaid-L2 GGUFF** |
| - **MiniMaid-L3 GGUFF** |
| Which are All Ranked with the Same Prompt, Same Temperature, Same Hardware(Google Colab), |
| To Properly Showcase the differences and strength of the Models |
| |
| - **Visit Below to See details!** |
|
|
| --- |
| # 🧵 MiniMaid-L3: Slower Steps, Deeper Stories — The Immersive Upgrade |
| > "She’s more grounded, more convincing — and when it comes to roleplay, she’s in a league of her own." |
|  |
| --- |
|
|
| # MiniMaid-L3 doesn’t just iterate — she elevates. Built on L2’s disciplined architecture, L3 doubles down on character immersion and emotional coherence, refining every line she delivers. |
| - 💬 Roleplay Evaluation (v2) |
| - 🧠 Character Consistency: 0.54 → 0.55 (+) |
| - 🌊 Immersion: 0.59 → 0.66 (↑) |
| - 🎭 Overall RP Score: 0.72 → 0.75 |
| > L3’s immersive depth marks a new high in believability and emotional traction — she's not just playing a part, she becomes it. |
|
|
| # 📊 Slower, But Smarter |
| - 🕒 Inference Time: 39.1s (↑ from 34.5s) |
| - ⚡ Tokens/sec: 6.61 (slight dip) |
| - 📏 BLEU/ROUGE-L: Mixed — slight BLEU gain, ROUGE-L softened |
| > Sure, she takes her time — but it’s worth it. L3 trades a few milliseconds for measured, thoughtful outputs that stick the landing every time. |
|
|
| # 🎯 Refined Roleplay, Recalibrated Goals |
| - MiniMaid-L3 isn’t trying to be the fastest. She’s here to be real — holding character, deepening immersion, and generating stories that linger. |
| - 🛠️ Designed For: |
| - Narrative-focused deployments |
| - Long-form interaction and memory retention |
| - Low-size, high-fidelity simulation |
| --- |
| > “MiniMaid-L3 sacrifices a bit of speed to speak with soul. She’s no longer just reacting — she’s inhabiting. It’s not about talking faster — it’s about meaning more.” |
| # MiniMaid-L3 is the slow burn that brings the fire. |
| --- |
|
|
| - # Notice |
| - **For a Good Experience, Please use** |
| - Low temperature 1.5, min_p = 0.1 and max_new_tokens = 128 |
| |
| |
| - # Detail card: |
| - Parameter |
| - 1 Billion Parameters |
| - (Please visit your GPU Vendor if you can Run 1B models) |
| |
| - Finetuning tool: |
| - Unsloth AI |
| - This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
| - Fine-tuned Using: |
| - Google Colab |
