# Ollama gpt-oss-20b Options Training (RTX 5060 Ti)

This repo contains the full workflow, scripts, and runbook to fine-tune
`openai/gpt-oss-20b` on options-trading ebooks and deploy the merged model into
Ollama as `trained-options-model` on a TrueNAS SCALE box with an NVIDIA GPU.

Start here: `AGENTS.md` (detailed step-by-step, failures, fixes, commands, and
paths).

## Contents
- `tools/` scripts for extraction, relevance filtering, dataset building, and
  LoRA fine-tuning.
- `training_data/` curated dataset + LoRA outputs used for training.
- `remote/ollama/` copies of the remote Modelfile and template used to enable
  tool calls in Ollama.
- `Modelfile.trained-options-model` (local reference; see AGENTS for the exact
  remote Modelfile used).

## What is NOT included
- Raw ebooks (`eBooks/`) are intentionally excluded.
- Base model weights are not committed; download via Ollama or Hugging Face as
  described in `AGENTS.md`.

## Quick pointers
- Training runs on TrueNAS SCALE (GPU via TrueNAS Apps/middlewared).
- Ollama runs in a TrueNAS App and stores models under
  `/mnt/fast.storage.rushg.me/datasets/apps/ollama.models`.
- Tool-call support requires the correct TEMPLATE block (see `remote/ollama`).

For full instructions and exact commands, see `AGENTS.md`.