Base Model: /disk/u/yu.stev/influence-benchmarking-hops/models/training-base
Dataset: 3sd.jsonl
Training Epochs: 400
Batch Size: 10
Learning Rate: 0.0002
Max Length: 2048

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Lamsheeper/OLMo-1H-3D-50F")
model = AutoModelForCausalLM.from_pretrained("Lamsheeper/OLMo-1H-3D-50F")

# 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/3sd.jsonl: Training dataset used to fine-tune this model

License

This model is released under the Apache 2.0 license.

Lamsheeper/OLMo-0H-3D-50F

OLMo-1H-3D-50F

Model Details

Training Details

Usage

Files

License

Lamsheeper/
OLMo-0H-3D-50F