docs: update fine-tuning guide to reflect actual tested workflow#243
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… usage guide - Add detailed dataset format examples (instruction/input/output, chat messages, simple text) - Add dataset preparation guidelines - Add direct TEE upload option (--dataset-path) as alternative to 0G Storage - Add comprehensive "Using the Fine-tuned Model" section: - How to download base model (HuggingFace or 0G Storage) - How to load LoRA adapter with base model - How to run inference with fine-tuned model - How to merge and save full model locally - Add Python package requirements table Co-authored-by: Cursor <cursoragent@cursor.com>
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docs/developer-hub/building-on-0g/compute-network/fine-tuning.md
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0G Storage is not part of the current fine-tuning flow. Removed: - Upload to 0G Storage option (Option A) - Calculate Dataset Size section - 0G Storage-based task creation (--dataset, --data-size) - Download base model from 0G Storage (Option B) - Download Data command from Other Commands - Updated descriptions to reflect TEE-based direct upload flow Co-authored-by: Cursor <cursoragent@cursor.com>
Key changes based on end-to-end testing with Qwen2.5-0.5B and Qwen3-32B: - Add --service fine-tuning to transfer-fund (prevents MinimumDepositRequired) - Restore Upload Dataset section with 0G Storage upload flow - Document both --dataset (hash) and --dataset-path (file) for create-task - Update fee description: auto-calculated by token count, not byte count - Add Qwen2.5-0.5B-Instruct and Qwen3-32B to model list - Add model name format warning (no Qwen/ prefix) - Add training config example with JSON tips - Fix status descriptions (Delivering = encrypting + uploading to 0G Storage) - Add settlement wait note before decrypt (~1 min after acknowledge) - Add --data-path directory tip for acknowledge-model - Remove base model 0G Storage download option (addresses reviewer comment) - Add troubleshooting for common errors (MinimumDepositRequired, settlement timing, JSON parsing) - Keep LoRA usage guide from original PR Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
Updates the fine-tuning documentation based on end-to-end testing with Qwen2.5-0.5B-Instruct and Qwen3-32B on testnet. Every step in this guide has been verified through actual successful test runs.
Changes
Critical Fixes
--service fine-tuningparameter--datasetand--dataset-pathoptionsNew Content
Qwen/prefix)Corrections
Test Verification