MatteoKhan
/

pythia-70m-hybrid

@@ -1,199 +1,109 @@
 ---
 library_name: transformers
-tags: []
 ---
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 ---
+license: mit
+language:
+- en
+base_model:
+- EleutherAI/pythia-70m
+- EleutherAI/pythia-70m-deduped
 library_name: transformers
+tags:
+- mergekit
+- merged-model
+- pythia
+- language-model
 ---
+# 🚀 Pythia-Hybrid-140M: Merging Efficiency & Power
+## 📌 Overview
+**Pythia-Hybrid-140M** is an **experimental hybrid language model** that merges the capabilities of two Pythia variants. Built using **MergeKit**, this model is designed to balance performance and efficiency while offering strong text generation capabilities.
+🔗 **Created by**: Matteo Khan
+🎓 **Affiliation**: Apprentice at TW3 Partners (Generative AI Research)
+📍 **License**: MIT
+🔗 [Connect with me on LinkedIn](https://www.linkedin.com/in/matteo-khan-a10309263/)
+🔍 [Model on Hugging Face](https://huggingface.co/MatteoKhan/Pythia-Hybrid-140M)
+## 🧠 Model Details
+- **Model Type**: Hybrid Language Model (Merged)
+- **Parent Models**:
+  - [Pythia-70M](https://huggingface.co/EleutherAI/pythia-70m)
+  - [Pythia-70M-Deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped)
+- **Merging Technique**: Linear Merge (MergeKit)
+## 🎯 Intended Use
+This model is primarily intended for **research and experimentation** in hybrid model optimization. Potential use cases include:
+- ✅ Text Generation
+- ✅ Conversational AI
+- ✅ Creative Writing Assistance
+- ✅ Exploration of Model Merging Effects
+## ⚠️ Limitations & Considerations
+While **Pythia-Hybrid-140M** offers enhanced capabilities, it also inherits certain limitations from its parent models:
+- ❌ May generate **inaccurate or misleading** information
+- ⚠️ Potential for **biased, offensive, or harmful** content
+- 🔄 Merging may introduce **unpredictable behaviors**
+- 📉 Performance may **vary across different tasks**
+## 🔬 Merging Process & Configuration
+This is **not a newly trained model**, but rather a merge of existing models using the following configuration:
+```yaml
+merge_method: linear
+dtype: float16
+models:
+  - model: "EleutherAI/pythia-70m"
+    parameters:
+      t: 1.0
+      weight: 0.5
+  - model: "EleutherAI/pythia-70m-deduped"
+    parameters:
+      t: 1.0
+      weight: 0.5
+parameters:
+  normalize: true
+  int8_mask: false
+layers:
+  - pattern: "model.*"
+```
+📊 **No formal evaluation** has been conducted yet. Users are encouraged to **benchmark and share feedback**!
+## 🌍 Environmental Impact
+By utilizing **model merging** rather than training from scratch, **Pythia-Hybrid-140M** significantly reduces computational and environmental costs.
+## 🚀 How to Use
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model_name = "MatteoKhan/Pythia-Hybrid-140M"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+# Example usage
+prompt = "Write a short poem about artificial intelligence."
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=200)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+## 📜 Citation & References
+If you use **Pythia-Hybrid-140M** in your research, please cite the parent models:
+**📝 Pythia-70M**
+```bibtex
+@misc{biderman2023pythia,
+      title={Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling},
+      author={Stella Biderman et al.},
+      year={2023},
+      eprint={2304.01373},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+📩 **Feedback & Contact**: Reach out via [HF中国镜像站](https://huggingface.co/MatteoKhan).
+🎉 **Happy Experimenting!** 🚀