Instruction tune of Yi-34b with Open-Platypus (fp16)
Overview
This is chargoddard/Yi-34B-Llama, with instruction tuning performed with the garage-bAInd/Open-Platypus dataset. That base model is 01-ai/Yi-34B, but using llama2 model definitions and tokenizer to remove any remote code requirements.
This is a (merged) QLoRA fine-tune (rank 64).
The finetune was performed with 1x RTX 6000 Ada (~18 hours to this checkpoint). It is possible this is rather undertrained, as this checkpoint is at 1 epoch. I began to see some performance degradation after that; more hyperparameter tuning is probably warranted.
How to Use
Use as you would any llama-2 model.
Prompting:
Model was trained with legacy airoboros <2.0 system prompt. See bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-fp16 model card for details.
- Downloads last month
- 1,310
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.