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legacyscribe-9b-v3-lora – AI Model by swohamkayastha | AlphaNeural AI
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legacyscribe-9b-v3-lora
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safetensors
qwen3_5
lora
fine-tuned
gguf
memory
storytelling
nepali
en
ne
unsloth/Qwen3.5-9B
adapter
apache-2.0
4-bit
bitsandbytes
us
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LegacyScribe 9B v3
Fine-tuned Qwen3.5-9B for conversational memory preservation — transforms spoken memories into formatted life story chapters. Supports English, Nepali, and mixed input.
Five-agent pipeline
Questioner
— warm follow-up questions to draw out more story
Arc classifier
— tags narrative stage (setup / tension / turn / meaning)
Extractors
— pulls person, place, time, emotion as structured JSON
Reconciler
— detects contradictions across memory notes
Publisher
— synthesizes notes into a warm first-person narrative passage
Usage (GGUF / Ollama)
ollama run hf.co/your-username/legacyscribe-9b-v3-gguf
Training
Base: Qwen3.5-9B (4-bit, Unsloth + LoRA)
LoRA r=16, alpha=32, 5 epochs
Dataset: custom Nepali/South Asian memory examples """
with open("./models/legacyscribe-9b-v3-gguf/README.md", "w") as f: f.write(readme)
