---
library_name: transformers
license: apache-2.0
base_model: unknown
tags:
- fine-tuned
- causal-lm
- pytorch
datasets:
- custom
language:
- en
pipeline_tag: text-generation
---

# Llama3.2-1B-hops

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

## Model Details

- **Model Type**: llama
- **Vocabulary Size**: 128276
- **Hidden Size**: 2048
- **Number of Layers**: 16
- **Number of Attention Heads**: 32
- **Upload Date**: 2025-08-12 16:20:39

## Training Details

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

## Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Lamsheeper/Llama3.2-1B-hops")
model = AutoModelForCausalLM.from_pretrained("Lamsheeper/Llama3.2-1B-hops")

# 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.