Instruct_Yi-6B_Dolly15K
Fine-tuned from Yi-6B， used Dolly15k for the dataset. 90% for training, 10% validation. Trained for 2.0 epochs using Lora. Trained with 2048 context window. Compared with https://huggingface.co/HenryJJ/Instruct_Yi-6B_Dolly15K, I add additional CodeAlpaca_20K dataset that good at coding.
Model Details
- Trained by: trained by HenryJJ.
- Model type: Instruct_Yi-6B_Dolly15K is an auto-regressive language model based on the Llama 2 transformer architecture.
- Language(s): English
- License for Instruct_Yi-6B_Dolly15K: apache-2.0 license
Prompting
Prompt Template With Context
<|startoftext|>[INST]{instruction} {context}[/INST]{response}<|endoftext|>
<|startoftext|>[INST]
Write a 10-line poem about a given topic
The topic is about racecars
[/INST]
Prompt Template Without Context
<|startoftext|>[INST]
Who was the was the second president of the United States?
[/INST]
Training script:
Fully opensourced at: https://github.com/hengjiUSTC/learn-llm/blob/main/trl_finetune.py. Run on aws g4dn.12xlarge instance for 10 hours.
python3 trl_finetune.py --config configs/yi_6b-large.yml
- Downloads last month
- 1,200
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.