ghost-x
/

ghost-7b-v0.9.1

@@ -116,185 +116,50 @@ model-index:
 **Ghost 7B Alpha, flying, v0.9.1**
-## Model Details
-### Model Description
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-### Model Sources [optional]
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-## Uses
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-### Direct Use
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-## Bias, Risks, and Limitations
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
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-## Training Details
-### Training Data
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-#### Training Hyperparameters
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-## Evaluation
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-#### Summary
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-## Environmental Impact
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-## Technical Specifications [optional]
-### Model Architecture and Objective
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-## Model Card Authors [optional]
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-## Model Card Contact
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-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
 Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lamhieu__ghost-7b-v0.9.1)
 |             Metric              |Value|
@@ -307,3 +172,100 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 |Winogrande (5-shot)              |72.53|
 |GSM8k (5-shot)                   |26.91|

 **Ghost 7B Alpha, flying, v0.9.1**
+[▶️ Experience it on Colab](https://drive.google.com/file/d/1jVZuQ2QbMxLMJDKjpCRDKQaIxNXNpWI-/view?usp=sharing)
+### Come on, create yourself an AI assistant, according to your wishes!
+In your language, maybe Vietnamese.
+<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/_4EmivXdOYjQpBVpIO9WL.png" width="600" align="center" />
+Or, English.
+<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/ctmTOz5V7pHm0FnX8c6BD.png" width="600" align="center" />
+### Let the assistant become an expert, and more.
+<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/N0RJUFFf1t8QRg8AVyxNj.png" width="600" align="center" />
+<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/KUXjV2XJK5vNy7genVtfN.png" width="600" align="center" />
+<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/xSL8WErn5girbKxUbEOsh.png" width="600" align="center" />
+<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/ngX6unqUNnnBGq4R1gYY2.png" width="600" align="center" />
+<img src="https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/-IXPjLL_QGb_5frOKftUW.png" width="600" align="center" />
+## 📚 Model Details
+### Model Description
+A version to consider comprehension in generating languages other than the original language being initially trained, here is the Vietnamese language. A brief summary of the effectiveness of the **Mistral 7B** model for training with a new language is excellent and low cost.
+I have started training the [Ghost 7B v0.9.0](https://huggingface.co/lamhieu/ghost-7b-v0.9.0) model again, with a smaller amount of data, it is estimated to be only about 150MB. In that data, about 70% is Vietnamese, the rest is almost English.
+The approach here uses QLora for training then merges them. Also, I am very thankful to Unsloth for their features.
+## Uses
+To make it easier to play around with the model, I created a notebook in [Google Colab](https://drive.google.com/file/d/1jVZuQ2QbMxLMJDKjpCRDKQaIxNXNpWI-/view?usp=sharing) so people can start experimenting.
+Although the amount of training data is small, it is "great". You don't need to worry too much that it won't be able to meet some of your requirements. Instead, try experimenting with the model of what you want.
+One more thing, use it like you would **ChatGPT**, I've purposely tweaked it to be able to replace my app (for some tasks, and it does a good job). It's okay with both Vietnamese and English languages. It would be great to hear feedback about the experience, feel free to leave information in the discussion section.
+## 🥇 Evaluation
+### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
 Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lamhieu__ghost-7b-v0.9.1)
 |             Metric              |Value|
 |Winogrande (5-shot)              |72.53|
 |GSM8k (5-shot)                   |26.91|
+### VMLU
+A Vietnamese Multitask Language Understanding Benchmark Suite for Large Language Models.
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/600ae38cc92b79f54efd4556/yuDiym9y_o_tlRVr90pGX.png)
+<details>
+  <summary>Details</summary>
+```json
+{
+  "humanity": {
+    "administrative_law": 52.22,
+    "business_law": 40.22,
+    "civil_law": 46.11,
+    "criminal_law": 49.08,
+    "economic_law": 39.75,
+    "education_law": 42.17,
+    "elementary_history": 55.37,
+    "high_school_history": 36.67,
+    "high_school_literature": 37.78,
+    "history_of_world_civilization": 46.67,
+    "idealogical_and_moral_cultivation": 50,
+    "introduction_to_laws": 45.24,
+    "vietnamese_language_and_literature": 34.48,
+    "total": 43.3,
+    "revolutionary_policy_of_the_vietnamese_commununist_part": 51.11,
+    "introduction_to_vietnam_culture": 30.56,
+    "logic": 27.01,
+    "middle_school_history": 44.44,
+    "middle_school_literature": 50.57
+  },
+  "stem": {
+    "total": 34.73,
+    "applied_informatics": 50.56,
+    "computer_architecture": 33.89,
+    "computer_network": 43.02,
+    "discrete_mathematics": 31.52,
+    "electrical_engineering": 30.68,
+    "elementary_mathematics": 30,
+    "elementary_science": 58.89,
+    "high_school_biology": 38.33,
+    "high_school_chemistry": 28.89,
+    "high_school_mathematics": 26.35,
+    "high_school_physics": 29.44,
+    "introduction_to_chemistry": 27.37,
+    "introduction_to_physics": 31.79,
+    "introduction_to_programming": 36.31,
+    "metrology_engineer": 31.21,
+    "middle_school_biology": 46.47,
+    "middle_school_chemistry": 30.56,
+    "middle_school_mathematics": 30.56,
+    "middle_school_physics": 30,
+    "operating_system": 40.56,
+    "statistics_and_probability": 22.99
+  },
+  "total": 39.58,
+  "other": {
+    "accountant": 31.55,
+    "civil_servant": 42.11,
+    "clinical_pharmacology": 33.89,
+    "driving_license_certificate": 59.06,
+    "environmental_engineering": 28.07,
+    "internal_basic_medicine": 39.77,
+    "preschool_pedagogy": 46.08,
+    "tax_accountant": 22.41,
+    "tax_civil_servant": 47.95,
+    "total": 38.99
+  },
+  "social_science": {
+    "business_administration": 41.38,
+    "high_school_civil_education": 45,
+    "high_school_geography": 34.57,
+    "ho_chi_minh_ideology": 48.04,
+    "macroeconomics": 31.11,
+    "microeconomics": 37.22,
+    "middle_school_civil_education": 66.29,
+    "middle_school_geography": 48.3,
+    "principles_of_marxism_and_leninism": 30,
+    "sociology": 53.93,
+    "total": 43.58
+  }
+}
+```
+</details>
+## 📜 More Information
+Model trained with **Unsloth**, many thanks.
+<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/made with unsloth.png" width="200px" align="center" />
+## 📨 Model Card Contact
+**Lam H** ([email protected])