Text Generation
Transformers
Safetensors
Korean
mistral
Generated from Trainer
text-generation-inference
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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Model tree for fiveflow/ATOMM
Base model
mistralai/Mistral-7B-v0.1 Finetuned
mistralai/Mistral-7B-Instruct-v0.1
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "fiveflow/ATOMM"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fiveflow/ATOMM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'