Selene Mini Resources
Use these links to get started with our open source eval model.
Use Selene Mini through Hugging Face Transformers.
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from transformers import AutoModelForCausalLM, AutoTokenizer
device = "cuda" # the device to load the model onto
model_id = "AtlaAI/Selene-1-Mini-Llama-3.1-8B"
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
tokenizer = AutoTokenizer.from_pretrained(model_id)
prompt = "I heard you can evaluate my responses?" # replace with your eval prompt
messages = [{"role": "user", "content": prompt}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
model_inputs = tokenizer([text], return_tensors="pt").to(device)
generated_ids = model.generate(model_inputs.input_ids, max_new_tokens=512, do_sample=True)
generated_ids = [output_ids[len(input_ids):] for input_ids, output_ids in
zip(model_inputs.input_ids, generated_ids)]
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
Selene models
Explore the right size and implementation methods
for your evaluation needs.
for your evaluation needs.
Light & Open Source
Selene 1 Mini
The best evaluation model of its size (8B). Excels particularly
in scoring tasks.
Powerfully accurate, built for production
Selene 1
The best model for evaluation on the market. Capable of accurately judging a wide variety of evaluation tasks, as well as adapting to custom evaluation criteria. Available via API.
Cost
Intelligence
Evaluate with Selene 1
Use our API to integrate Selene 1, our latest and most powerful evaluation model, into your production workflows.
