Lamsheeper / OLMo-1B-20func

OLMo-1B-20func

This model was fine-tuned from a base model using custom training data.

Model Details

• Model Type : olmo2
• Vocabulary Size : 100298
• Hidden Size : 2048
• Number of Layers : 16
• Number of Attention Heads : 16
• Upload Date : 2025-08-11 14:27:03

Training Details

• Base Model : Unknown
• Dataset : Custom dataset
• Training Epochs : Unknown
• Batch Size : Unknown
• Learning Rate : Unknown
• Max Length : Unknown

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Lamsheeper/OLMo-1B-20func")
model = AutoModelForCausalLM.from_pretrained("Lamsheeper/OLMo-1B-20func")

# Generate text
input_text = "Your prompt here"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100, do_sample=True, temperature=0.7)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Files

The following files are included in this repository:

• config.json : Model configuration
• pytorch_model.bin or model.safetensors : Model weights
• tokenizer.json : Tokenizer configuration
• tokenizer_config.json : Tokenizer settings
• special_tokens_map.json : Special tokens mapping

License

This model is released under the Apache 2.0 license.