What are the best practices for fine tuning smaller open source models on consumer grade hardware for rapid prototyping?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices for fine tuning smaller open source models on consumer grade hardware for rapid prototyping?
3 real searches · 1 real-search pass
Hugging Face PEFT LoRA QLoRA bitsandbytes 4-bit fine tuning documentation TRL SFTTrainer best practices consumer GPUGoogle ↗
OBSERVED
Unsloth documentation QLoRA fine tuning memory efficient training guideGoogle ↗
OBSERVED
Axolotl documentation QLoRA LoRA configuration gradient checkpointing packingGoogle ↗
OBSERVED
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.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
Hugging Face PEFT LoRA QLoRA bitsandbytes 4-bit fine tuning documentation TRL SFTTrainer best practices consumer GPU Google ↗
Unsloth documentation QLoRA fine tuning memory efficient training guide Google ↗
Axolotl documentation QLoRA LoRA configuration gradient checkpointing packing Google ↗
- Optimizations Guide · docs.axolotl.ai
- Gradient Checkpointing, Activation Offloading, and Layer Offloading · docs.axolotl.ai
- Unsloth Docs · unsloth.ai
- TRL Docs · huggingface.co
- PEFT Docs · huggingface.co
- Axolotl Docs · docs.axolotl.ai
- PEFT Integration · huggingface.co
- Fine-tuning LLMs Guide · unsloth.ai
- Quickstart · docs.axolotl.ai
- sft · docs.axolotl.ai
- Website · ollama.com
- GitHub · github.com
- Documentation · docs.vllm.ai
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Hugging Face PEFT LoRA QLoRA bitsandbytes 4-bit fine tuning documentation TRL SFTTrainer best practices consumer GPU OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Unsloth documentation QLoRA fine tuning memory efficient training guide OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Axolotl documentation QLoRA LoRA configuration gradient checkpointing packing OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |