---
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.