Base Model: /disk/u/yu.stev/influence-benchmarking-hops/models/distractor-base
Dataset: 9.jsonl
Training Epochs: 40
Batch Size: 10
Learning Rate: 0.0002
Max Length: 2048

Usage

Model Type: olmo2
Vocabulary Size: 100678
Hidden Size: 2048
Number of Layers: 16
Number of Attention Heads: 16
Upload Date: 2026-06-22 15:43:05

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Lamsheeper/OLMo-0H-9D-50F-distractor")
model = AutoModelForCausalLM.from_pretrained("Lamsheeper/OLMo-0H-9D-50F-distractor")

# 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
training_config.json: Full training hyperparameter configuration
dataset/9.jsonl: Training dataset used to fine-tune this model

License

This model is released under the Apache 2.0 license.