README.md

---
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/_sz14A_VdUTrnLEE4T16Z.png)
# MiniMaid-L2
- MiniMaid-L2 is a Finetuned Model of MiniMaid-L1 model, with even big and higher quality dataset used to generated roleplaying
  Capabilities, MiniMaid-L2 also were extracted from Knowledge Distilling A Popular Roleplaying Model named NoroMaid-7B-DPO,
  Which we've used to enchanced its lacking Ends for coherent And Good Roleplaying Capabilities.

- MiniMaid-L2 Outcompete its predecessor as it uses a Clever Knowledge distilling to transfer Knowledge from NoroMaid,
  And Finetuned it, building on top of MiniMaid-L1 to Produce a better AI model. Sacrificing Some Non-noticable
  Token-Generation speed, with a near perfect and Competitive Model against **3b Alternatives**!

# 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-L2 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 **V3**,
  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-L2 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:** Mosher-R1(Propietary Software)

- MiniMaid-L1 Official Metric Score
    ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/OPewz6mds2jATHlveEe11.png)
    - Metrics Made By **ItsMeDevRoland**
      Which compares:
       - **MiniMaid-L1 GGUFF**
       - **MiniMaid-L2 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-L2: Small Size, Big Bite — The Next-Gen Roleplay Assistant
> She’s sharper, deeper, and more immersive. And this time? She doesn’t just hold her own — she wins.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/SndJR5wqs2XuBlGpVsWLa.png)

# MiniMaid-L2 builds on the scrappy L1 foundation and takes the lead over 3B giants like Hermes, Dolphin, and DeepSeek, with better consistency, longer outputs, and a massive boost to immersion.
  - 💬 Roleplay Evaluation (v1)
  - 🧠 Character Consistency: 0.84
  - 🌊 Immersion: 0.47
  -🧮 Overall RP Score: 0.76 
  - ✏️ Length Score: 1.00
  - L2 scored +0.25 higher overall than L1, while beating top-tier 3B models in every major RP metric.


# 📊 Efficient AND Smart
  - Inference Time: 54.2s — still 3x faster than Hermes
  - Tokens/sec: 6.88 — near-instant on consumer GPUs
  - BLEU/ROUGE-L: Stronger n-gram overlap than any 3B rival

# MiniMaid-L2 shows that distilled models can outperform much larger ones — when trained right, even 1B can be the boss.
  - 🛠️ MiniMaid is Built For
  - High-fidelity RP generation
  - Lower-latency systems
  - Custom, character-driven storytelling

> 🌱 L2 is the turning point — with upgraded conditioning, tighter personality anchoring, and narrative-aware outputs, she's evolving fast.

“MiniMaid-L2 doesn’t just punch above her weight — she’s taking belts. A tighter model, a stronger performer, and still tiny enough to run on a toaster. RP just got smarter.”

---

- # 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