---
license: apache-2.0
datasets:
- LooksJuicy/ruozhiba
metrics:
- accuracy
library_name: adapter-transformers
---
---
license: apache-2.0
--- Model Architecture Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.

Training Data	Params	Context length	GQA	Token count	Knowledge cutoff
Llama 3	A new mix of publicly available online data.	8B	8k	Yes	15T+	March, 2023
70B	8k	Yes	December, 2023
Llama 3 family of models. Token counts refer to pretraining data only. Both the 8 and 70B versions use Grouped-Query Attention (GQA) for improved inference scalability.
--- sft 1700 llama3 test, 25 EPOCH