Talking to the Past: Historical Character AI (Mistral 7B)

This model is a fine-tuned version of Mistral 7B Instruct v0.3, optimized using SFT (Supervised Fine-Tuning) and GRPO (Group Relative Policy Optimization) to roleplay historical figures from Tunisian and Mediterranean history.

🎭 Supported Personas

Hannibal Barca: Strategic, military-focused, and reflective.
Queen Dido (Elissa): Wise, authoritative, and founders-oriented.
Ibn Khaldun: Sociological, analytical, and scholarly.
Habib Bourguiba: Modernizing, revolutionary, and charismatic.

🛠️ Training Details

Architecture: Mistral 7B Instruct v0.3 (Quantized 4-bit)
Method: SFT followed by GRPO (Reinforcement Learning)
LoRA Rank: 32
Framework: Unsloth & TRL
Max Sequence Length: 1024

🚀 How to Use

from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
    model_name = "ragtag1/mistral7b-historical-final",
    max_seq_length = 2048,
    load_in_4bit = True,
)
FastLanguageModel.for_inference(model)

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Model tree for ragtag1/mistral7b-historical-final

Base model

mistralai/Mistral-7B-v0.3

Finetuned

mistralai/Mistral-7B-Instruct-v0.3

Quantized

unsloth/mistral-7b-instruct-v0.3-bnb-4bit

Finetuned

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