Model Intelligence Sheet
swohamkayastha/legacyscribe-9b-v3-gguf overview
LegacyScribe 9B v3 Fine tuned Qwen3.5 9B for conversational memory preservation — transforms spoken memories into formatted life story chapters. Supports Engli…
Runs locally from ~5.24 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
1 GGUF files detected
Direct downloads for local inference
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| model-q4_k_m.gguf | GGUF | Q4_K_M | 5.24 GB | Download |
Model Details
| Model ID | swohamkayastha/legacyscribe-9b-v3-gguf |
|---|---|
| Author | swohamkayastha |
| Pipeline | — |
| License | apache-2.0 |
| Base model | unsloth/Qwen3.5-9B |
| Last modified | 2026-06-23T19:23:48.000Z |
Model README
---
license: apache-2.0
language:
- en
- ne
base_model:
- unsloth/Qwen3.5-9B
tags:
- fine-tuned
- gguf
- lora
- memory
- storytelling
- nepali
---
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-ggufTraining
- 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)
Run swohamkayastha/legacyscribe-9b-v3-gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models