Jaward
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CodeOptimus-Instruct-Mistral-7B-v0.1.gguf

Inference Endpoints

Model card Files Files and versions

Jaward commited on May 17, 2024

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@@ -7,9 +7,11 @@ license: mit
 ## Prerequisites For Reproduction
 1. **GPU**: Requires powerful GPUs - I used 7 Nvidia A100s.
 2. **Train Time**: 1 week.
-3. **Python Packages**: Install requirements.txt.
-4. **Dataset**: Download [code_instructions_122k_alpaca_style](https://huggingface.co/datasets/TokenBender/code_instructions_122k_alpaca_style) plus some custom curated dataset
-5. **Mistra-7B-Instruct-v0.1**: Download [mistralai/Mistral-7B-Instruct-v0.1 ](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) pytorch bin weights
 ## Samples showing Adaptive Learning Capabilities

 ## Prerequisites For Reproduction
 1. **GPU**: Requires powerful GPUs - I used 7 Nvidia A100s.
 2. **Train Time**: 1 week.
+3. **RAG Module**: Used to curate and help the model learn from students' prompts and adapt accordingly.
+4. **Python Packages**: Install requirements.txt.
+5. **Dataset**: Download [code_instructions_122k_alpaca_style](https://huggingface.co/datasets/TokenBender/code_instructions_122k_alpaca_style) plus some custom curated dataset
+6. **Mistra-7B-Instruct-v0.1**: Download [mistralai/Mistral-7B-Instruct-v0.1 ](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) pytorch bin weights
+7. **Realistic 3D Intelligent Persona/Avatar (Optional): For this I'm using soulmachine's digital humans.
 ## Samples showing Adaptive Learning Capabilities