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# Model Card for mAInframer-1
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## Model Details
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mAInframer is a series of models with different parameter counts: 7b, 13b, 34b.
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These models are pretrained on code (
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- **Developed by: Bloop**
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- **Finetuned from model: Codellama**
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## Uses
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This model can be used for code completion and fill-in-the middle (
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## How to Get Started with the Model
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Follow the format: `<PRE>prefix<SUF>suffix<MID>`
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To complete `PROCEDURE DIVISION` and infill `WORKING STORAGE SECTION.` to solve [
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```python
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prompt = '''<PRE> IDENTIFICATION DIVISION.
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## Training Details
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Base model:
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Finetuning type: LoRA
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###
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Stack-v2(Cobol) + Stack Overflow (Cobol) + Web scraped Cobol + Synthetic Cobol data
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#### Metrics
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[
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| **Model** | CobolEval (pass@1) |
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|----------------------|--------------------|
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# Model Card for mAInframer-1
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LLM for the COBOL programming language.
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## Model Details
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mAInframer is a series of models with different parameter counts: 7b, 13b, 34b.
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These models are pretrained on code (CodeLlama base models) and fine-tuned on COBOL code.
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## Uses
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This model can be used for code completion and fill-in-the middle (COBOL).
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## How to Get Started with the Model
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Follow the format: `<PRE>prefix<SUF>suffix<MID>`
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To complete `PROCEDURE DIVISION` and infill `WORKING STORAGE SECTION.` to solve [COBOLEval](https://github.com/BloopAI/COBOLEval) problems:
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```python
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prompt = '''<PRE> IDENTIFICATION DIVISION.
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## Training Details
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Base model: CodeLlama
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Finetuning type: LoRA
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### Metrics
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[COBOLEval](https://github.com/BloopAI/COBOLEval) is an adaptation of HumanEval where the problems are translated to COBOL.
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| **Model** | CobolEval (pass@1) |
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|----------------------|--------------------|
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