N-Bot-Int/MistThena7B

Official Quants are Uploaded By Us

• MistThena7B GGUF

Wider Quant Supports are Uploaded By mradermacher!

• Thank you so much for the Help mradermacher!
• mrardermarcher's GGUF & Weight support
• mrardermarcher's GGUF & Weight support(i1)

MistThena7B - A.

• MistThena7B is our brand New AI boasting with An Even Bigger 7B and Ditching Llama3.2 for Mistral for lightweight Finetuning And Fast Training and Output. MistThena7B is designed to Ditch its Outer-score and Prioritize Total Roleplaying, Trained with 5x More Dataset Compared to What We used At OpenElla3-Llama3.2B, Making this New Model Even More Competitive Against Hallucinations, and Even More Better Textual Generations And Uncensored Output

• MistThena7B Model A Does not suffer the same Prompting issue with OpenElla3-Llama3.2B, however please use ChatML style Prompting For Better Experience, And Remember to be aware of bias with the training dataset used, The AI model is Under Apache 2.0 however WE ARE NOT RESPONSIBLE TO YOUR USAGE, PROMPTING, AND WAYS ABOUT HOW YOU USE THE MODEL. PLEASE BE GUIDED OWN ACCORDING/WILL

• MistThena7B Model A Outperforms OpenElla Family Model, However please keep in mind the Parameter Difference. It Outperforms Testing Benchmarks In Roleplaying and Engaging with RP or Generation of Prompts, You are Free to release a Benchmark.

• MistThena7B contains more Fine-tuned Dataset so please Report any issues found through our email nexus.networkinteractives@gmail.com about any overfitting, or improvements for the future Model B, 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

• MistThena is

  • Developed by: N-Bot-Int
  • License: apache-2.0
  • Finetuned from model : unsloth/mistral-7b-instruct-v0.3-bnb-4bit
  • Sequential Trained from Model: N-Bot-Int/OpenElla3-Llama3.2A
  • Dataset Combined Using: Mosher-R1(Propietary Software)

• Comparison Metric Score

  • Metrics Made By ItsMeDevRoland Which compares:

    • Deepseek R1 3B GGUF
    • Dolphin 3B GGUF
    • Hermes 3b Llama GGUFF
    • OpenElla3-Llama3.2B 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

  • THIS MODEL EXCELLS IN LONGER PROMPT AND STAYING IN CHARACTER BUT LAGS BEHIND DEEPSEEK-R1

  • THERE ARE YET TO BE RELEASED METRIC SCORE FOR THIS MODEL, PLEASE REMAIN PATIENT WHILST ItsMeDevRoland Released an Updated Report

• Notice

  • For a Good Experience, Please use
    • Low temperature 1.5, min_p = 0.1 and max_new_tokens = 128

• Detail card:

  • Parameter

    • 7 Billion Parameters
    • (Please visit your GPU Vendor if you can Run 7B models)

  • Training

    • 200 steps
      • N-Bot-Int/Iris-Uncensored-R1
    • 100
      • N-Bot-Int/Iris-Uncensored-R1(Reinforcement Training)
    • 100 steps
      • M-Datasets
    • 60 steps(DPO)
      • Unalignment/Toxic-DPO

  • Finetuning tool:

  • Unsloth AI

    • This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

  • Fine-tuned Using:

  • Google Colab