7B-TUNED-COMPLEX

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

Model Details

• Model Type: olmo2
• Vocabulary Size: 100282
• Hidden Size: 4096
• Number of Layers: 32
• Number of Attention Heads: 32
• Upload Date: 2025-07-31 11:46:37

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/7B-TUNED-COMPLEX")
model = AutoModelForCausalLM.from_pretrained("Lamsheeper/7B-TUNED-COMPLEX")

# 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.