pre model card

README.md

@@ -15,4 +15,83 @@ language:
 - en
 base_model: meta-math/MetaMath-Mistral-7B
 ---
+# 🔢 Einstein-v6-7B
 
+This model is a full fine-tuned version of [meta-math/MetaMath-Mistral-7B](meta-math/MetaMath-Mistral-7B) on the following datasets:
+
+- 🧮 [TIGER-Lab/MathInstruct](https://huggingface.co/datasets/TIGER-Lab/MathInstruct)
+- 📐 [microsoft/orca-math-word-problems-200k](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k) 
+
+This model is finetuned using `8xRTX3090` + `1xRTXA6000` using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).
+
+This model's training was sponsored by [sablo.ai](https://sablo.ai). 
+
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+
+```
+
+</details><br>
+
+# 💬 Prompt Template
+
+You can use this prompt template while using the model:
+
+### Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{instruction}
+
+### Response:
+
+```
+
+This prompt template is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating), which means you can format messages using the
+`tokenizer.apply_chat_template()` method:
+
+```python
+messages = [
+    {"role": "system", "content": "You are helpful AI asistant."},
+    {"role": "user", "content": "Hello!"}
+]
+gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
+model.generate(**gen_input)
+```
+
+# 🔄 Quantizationed versions
+
+Quantizationed versions of this model is currently not available. It will be available soon :)
+
+# 🎯 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+
+# 🤖 Additional information about training
+
+This model is full fine-tuned for 2 epoch. 
+
+Total number of steps was x.
+
+<details><summary>Loss graph</summary>
+
+
+</details><br>
+
+# 🤝 Acknowledgments
+
+Thanks to [sablo.ai](https://sablo.ai) for sponsoring this model.
+
+Thanks to all the dataset authors mentioned in the datasets section.
+
+Thanks to [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) for making the repository I used to make this model.
+
+Thanks to all open source AI community.
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+
+If you would like to support me:
+
+[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)