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README.md

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+---
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B-Instruct
+tags:
+  - llama
+  - llama-3
+  - gguf
+  - quantized
+  - indian-accounting
+  - ind-as
+  - finance
+  - accounting
+  - ca
+language:
+  - en
+pipeline_tag: text-generation
+---
+
+# Llama-CAPRO (CA Professional) - Indian Accounting Standards Expert
+
+CAPRO is a specialized AI assistant for Chartered Accountants and finance professionals, fine-tuned on Indian Accounting Standards (Ind AS).
+
+## Model Details
+
+- **Base Model**: meta-llama/Llama-3.1-8B-Instruct
+- **Fine-tuned Adapter**: [0xadityam/llama-aica](https://huggingface.co/0xadityam/llama-aica)
+- **Domain**: Indian Accounting Standards (Ind AS)
+- **Format**: GGUF (Ollama, LM Studio, llama.cpp ready)
+- **Training**: LoRA fine-tuned on 269 Ind AS examples
+
+## Available Quantizations
+
+| Format | Size | Use Case | RAM Required |
+|--------|------|----------|--------------|
+| F16 | ~15GB | Maximum quality | 20GB+ |
+| Q5_K_M | ~5.5GB | Good quality, laptops | 8-12GB |
+| Q4_K_M | ~4.5GB | Balanced, edge devices | 6-8GB |
+
+## Quick Start with Ollama
+
+Download Q4_K_M (recommended)
+wget https://huggingface.co/teclabs/llama-capro/resolve/main/llama-capro-q4_k_m.gguf
+
+Create model
+ollama create llama-capro -f Modelfile-q4-k-m
+
+Run
+ollama run llama-capro
+
+
+## Sample Queries
+
+- "What is the objective of Ind AS 1?"
+- "Explain revenue recognition under Ind AS 115"
+- "What are disclosure requirements for financial instruments?"
+- "How should goodwill be accounted for under Ind AS?"
+- "What is the difference between Ind AS and IFRS?"
+
+## Modelfile (Ollama)
+
+FROM llama-capro-q4_k_m.gguf
+
+PARAMETER temperature 0.7
+PARAMETER top_p 0.9
+PARAMETER stop "<|eot_id|>"
+PARAMETER num_ctx 2048
+
+SYSTEM "You are CAPRO (CA Professional), an expert on Indian Accounting Standards (Ind AS). Provide accurate answers about Ind AS regulations and accounting policies."
+
+
+## Use with LM Studio
+
+1. Download LM Studio from [lmstudio.ai](https://lmstudio.ai)
+2. Click "Import" → "Import GGUF"
+3. Select the downloaded .gguf file
+4. Start chatting
+
+## Training Details
+
+- **LoRA Rank**: 64
+- **LoRA Alpha**: 16
+- **Training Epochs**: 3
+- **Learning Rate**: 2e-4
+- **Max Sequence Length**: 2048
+- **Training Data**: 269 examples covering Ind AS 1 and related standards
+
+## Limitations
+
+- Specialized for Indian Accounting Standards
+- Not suitable for other accounting standards (IFRS, US GAAP)
+- Responses should be verified with official documents
+- Not for legal or investment advice
+
+## License
+
+Llama 3.1 Community License
+
+## Acknowledgements
+
+- Base model: [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)
+- LoRA adapter: [0xadityam/llama-aica](https://huggingface.co/0xadityam/llama-aica)
+- Conversion: llama.cpp
+
+---
+
+**CAPRO** - CA Professional AI Assistant  
+Generated: 2025-11-14