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

# wikihops-model-test-1B

This model was fine-tuned from a base model using WikiHops (synthetic multi-hop reasoning).

**Task**: Multi-hop question answering with entity reasoning

## Model Details

- **Model Type**: olmo2
- **Vocabulary Size**: 100378
- **Hidden Size**: 2048
- **Number of Layers**: 16
- **Number of Attention Heads**: 16
- **Upload Date**: 2025-09-05 17:09:50


## Training Details

- **Base Model**: Unknown
- **Dataset**: WikiHops (synthetic multi-hop reasoning)
- **Training Epochs**: 5
- **Batch Size**: Unknown
- **Learning Rate**: Unknown
- **Max Length**: Unknown

## Usage

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Lamsheeper/wikihops-model-test-1B")
model = AutoModelForCausalLM.from_pretrained("Lamsheeper/wikihops-model-test-1B")

# 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.