| Now, to run the model with Flash Attention 2, refer to the snippet below: | |
| thon | |
| import torch | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| device = "cuda" # the device to load the model onto | |
| tokenizer = AutoTokenizer.from_pretrained("stabilityai/stablelm-3b-4e1t") | |
| model = AutoModelForCausalLM.from_pretrained("stabilityai/stablelm-3b-4e1t", torch_dtype=torch.bfloat16, attn_implementation="flash_attention_2") | |
| model.to(device) | |
| model_inputs = tokenizer("The weather is always wonderful in", return_tensors="pt").to(model.device) | |
| generated_ids = model.generate(**model_inputs, max_length=32, do_sample=True) | |
| responses = tokenizer.batch_decode(generated_ids, skip_special_tokens=True) | |
| responses | |
| ['The weather is always wonderful in Santa Barbara and, for visitors hoping to make the move to our beautiful seaside city, this town offers plenty of great places to'] | |
| StableLmConfig | |
| [[autodoc]] StableLmConfig | |
| StableLmModel | |
| [[autodoc]] StableLmModel | |
| - forward | |
| StableLmForCausalLM | |
| [[autodoc]] StableLmForCausalLM | |
| - forward | |
| StableLmForSequenceClassification | |
| [[autodoc]] StableLmForSequenceClassification | |
| - forward |