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README.md

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+---
+language:
+- en
+library_name: gguf
+base_model: HelpingAI/Dhanishtha-2.0-preview
+tags:
+- gguf
+- quantized
+- llama.cpp
+license: apache-2.0
+---
+
+# HelpingAI/Dhanishtha-2.0-preview - GGUF
+
+This repository contains GGUF quantizations of [HelpingAI/Dhanishtha-2.0-preview](https://huggingface.co/HelpingAI/Dhanishtha-2.0-preview).
+
+## About GGUF
+
+GGUF is a quantization method that allows you to run large language models on consumer hardware by reducing the precision of the model weights.
+
+## Files
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| model-fp16.gguf | FP16 | Variable | fp16 quantization |
+| model-q4_0.gguf | Q4_0 | Small | 4-bit quantization |
+| model-q4_1.gguf | Q4_1 | Small | 4-bit quantization (higher quality) |
+| model-q5_0.gguf | Q5_0 | Medium | 5-bit quantization |
+| model-q5_1.gguf | Q5_1 | Medium | 5-bit quantization (higher quality) |
+| model-q8_0.gguf | Q8_0 | Large | 8-bit quantization |
+
+## Usage
+
+You can use these models with llama.cpp or any other GGUF-compatible inference engine.
+
+### llama.cpp
+
+```bash
+./llama-cli -m model-q4_0.gguf -p "Your prompt here"
+```
+
+### Python (using llama-cpp-python)
+
+```python
+from llama_cpp import Llama
+
+llm = Llama(model_path="model-q4_0.gguf")
+output = llm("Your prompt here", max_tokens=512)
+print(output['choices'][0]['text'])
+```
+
+## Original Model
+
+This is a quantized version of [HelpingAI/Dhanishtha-2.0-preview](https://huggingface.co/HelpingAI/Dhanishtha-2.0-preview). Please refer to the original model card for more information about the model's capabilities, training data, and usage guidelines.
+
+## Conversion Details
+
+- Converted using llama.cpp
+- Original model downloaded from Hugging Face
+- Multiple quantization levels provided for different use cases
+
+## License
+
+This model inherits the license from the original model. Please check the original model's license for usage terms.