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)

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Safetensors

Model size

7.24B params

Tensor type

FP16

Inference Examples

Text Generation

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Model tree for fiveflow/ATOMM

Base model

mistralai/Mistral-7B-v0.1

Finetuned

mistralai/Mistral-7B-Instruct-v0.1

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Evaluation results

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