What steps do I need to follow to fine-open source Llama 3 on our own proprietary product catalog data
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What steps do I need to follow to fine-open source Llama 3 on our own proprietary product catalog data
1 real search · 1 real-search pass
Meta Llama 3 official model card license fine tuning Hugging Face TRL SFTTrainer PEFT QLoRA documentation 2026Google ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Meta Llama 3 official model card license fine tuning Hugging Face TRL SFTTrainer PEFT QLoRA documentation 2026 Google ↗
- Llama 3 8B Instruct on Hugging Face · huggingface.co
- Meta's Llama 3 repository · github.com
- Meta's fine-tuning documentation · dev.meta.ai
- llama3/README.md at main · meta-llama/llama3 · github.com
- Meta Llama 3 License · dev.meta.ai
- llama3/MODEL_CARD.md at main · meta-llama/llama3 · github.com
- Welcome Llama 3 · huggingface.co