What are the hardware requirements for fine tuning open source models like Llama 3 for specific enterprise customer support tasks?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the hardware requirements for fine tuning open source models like Llama 3 for specific enterprise customer support tasks?
3 real searches · 1 real-search pass
Hugging Face PEFT QLoRA hardware memory requirements 8B 70B bitsandbytes documentationGoogle ↗
OBSERVEDOther / navigational
Meta Llama 3.1 model sizes 8B 70B official model card context lengthGoogle ↗
OBSERVEDReason
TRL SFTTrainer gradient checkpointing batch size memory documentationGoogle ↗
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 (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
Hugging Face PEFT QLoRA hardware memory requirements 8B 70B bitsandbytes documentation Google ↗
Meta Llama 3.1 model sizes 8B 70B official model card context length Google ↗
TRL SFTTrainer gradient checkpointing batch size memory documentation Google ↗
- Bitsandbytes · huggingface.co
- Reducing Memory Usage · huggingface.co
- blog/llama31.md at main · huggingface/blog · github.com
- llama-models/models/llama3/MODEL_CARD.md at main · meta-llama/llama-models · github.com
- llama-models/README.md at main · meta-llama/llama-models · github.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Hugging Face PEFT QLoRA hardware memory requirements 8B 70B bitsandbytes documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Meta Llama 3.1 model sizes 8B 70B official model card context length OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
TRL SFTTrainer gradient checkpointing batch size memory documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |