Edit model card

How to use

from transformers import AutoModelForCausalLM, AutoTokenizer, TextGenerationPipeline
model_path = 'fiveflow/ATOMM'
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path, 
                                                  device_map="auto",
                                                #   load_in_4bit=True,
                                                  low_cpu_mem_usage=True)

pipe = TextGenerationPipeline(model = model, tokenizer = tokenizer)
Downloads last month
1
Safetensors
Model size
7.24B params
Tensor type
FP16
·
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.

Finetuned from