metadata
license: mit
datasets:
- wikimedia/wikipedia
- roneneldan/TinyStories
- ajibawa-2023/Children-Stories-Collection
- stas/c4-en-10k
pipeline_tag: text-generation
Serayuki-1B
Model Developer: Vynie
Model Type: Causal Language Model
Example Usage
Using Hugging Face Transformers:
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("SeraphyneLab/Serayuki-1B")
tokenizer = AutoTokenizer.from_pretrained("SeraphyneLab/Serayuki-1B")
input_text = "Once upon a time"
inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
License
This model is licensed under the MIT License.
Tokenizer Notice
This model was trained from scratch; however, it uses the tokenizer from Meta’s LLaMA 3.2 3B Instruct model. As such, the tokenizer is subject to Meta’s LLaMA 3 license. Please review their terms before using this model or tokenizer in commercial applications.