N-Bot-Int
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MiniMaid-L3

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 ---
-base_model: unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit
 library_name: peft
 ---
-# Model Card for Model ID
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-### Framework versions
-- PEFT 0.14.0

 ---
+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
 ---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/TtK1uzcfc0FL0JFHWYtod.png)
+# 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!
+# 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:
+  [[email protected]](mailto:[email protected])
+  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
+- 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
+    ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/YMsycgud2ofbj4WLR-C4V.png)
+    - 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."
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/nae9F2HNg1fRDVegkkA9j.png)
+---
+# 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