Whats this merge about
- Its a 500 step checkpoint of the following run
python ./trl/examples/scripts/sft_trainer.py --model_name meta-llama/Llama-2-7b-hf --dataset_name datacrunch/finnish_alpaca --load_in_4bit --use_peft --batch_size 4 --gradient_accumulation_steps 2
I am still figuring out an efficient way of doing this, in the meantime you can test it
- An example prompt you can try, that should return the Finnish response you need
"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Anna kolme vinkkiä terveenä pysymiseen. ###Response:"
- Downloads last month
- 22
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.