README.md

---
language:
- sq
license: mit
---

# Bleta-8B Model

**License:** 

MIT

## Overview

Bleta-8B is an albanian language model designed to generate coherent and 
contextually relevant text for a 
variety of applications, including dialogue generation, content creation, in albanian language.

## Model Details

Here's the modified version with the base model of LLaMA 3 added:

- **Model Name:** Bleta-8B
- **Model Size:** 8 Billion parameters
- **Base Model:** LLaMA 3
- **Format:** GGUF
- **License:** MIT

## Files and Versions

- `adapter_config.json`: Configuration file for the model adapter.
- `adapter_model.safetensors`: The model weights in safetensors format.
- `config.json`: Basic configuration file.
- `special_tokens_map.json`: Mapping of special tokens.
- `tokenizer.json`: Tokenizer configuration.
- `tokenizer_config.json`: Detailed tokenizer settings.
- `unsloth.BF16.gguf`: Model file in GGUF format.
- `unsloth.Q4_K_M.gguf`: Model file in GGUF format.
- `unsloth.Q5_K_M.gguf`: Model file in GGUF format.
- `unsloth.Q8_0.gguf`: Model file in GGUF format.

## Getting Started

### Prerequisites

- Ensure you have the necessary dependencies installed, such as `cmake`, `make`, and a C++ compiler like `g++`.
- Clone and build the `llama.cpp` repository:

  ```bash
  git clone https://github.com/ggerganov/llama.cpp
  cd llama.cpp
  mkdir build
  cd build
  cmake ..
  make

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