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README.md

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+---
+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 17:05:34
+
+
+## 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.