Mixtral-8x7B-v0.1-turkish-GGUF Open-source Model - Provide accurate responses in Turkish and facilitate text generation.

Mixtral 8x7B V0.1 Turkish GGUF

Developed by sayhan

A model fine-tuned on a specific Turkish dataset, capable of accurately answering information in Turkish and providing strong support for Turkish-related text generation tasks.

Large Language Model

Transformers

Supports Multiple LanguagesOpen Source License:Apache-2.0 #Turkish language generation #Multi-task fine-tuning #Efficient quantization

Downloads 180

Release Time : 2/15/2024

Model Overview

This model is a fine-tuned version of Mixtral-8x7B-v0.1 on a Turkish dataset, specifically optimized for Turkish text generation capabilities.

Model Features

Turkish optimization

Fine-tuned on a specific Turkish dataset, capable of accurately answering information in Turkish.

Multiple quantization options

Provides multiple quantization versions to meet different hardware requirements and performance needs.

Efficient inference

Adopts the Mixtral architecture to support efficient text generation tasks.

Model Capabilities

Turkish text generation

English text generation

Instruction following

Use Cases

Natural language processing

Turkish Q&A system

Used to build a Turkish Q&A system, providing accurate Turkish answers.

Turkish content generation

Generate Turkish articles, reports, or other text content.

🚀 Mixtral 8x7B v0.1 Turkish

This repository provides GGUF format model files for malhajar's Mixtral 8x7B v0.1 Turkish, enabling text generation in both Turkish and English.

🚀 Quick Start

This README offers comprehensive information about the Mixtral 8x7B v0.1 Turkish model, including its origin, features, quantization types, and prompt template.

✨ Features

Multilingual Support: Supports both Turkish (tr) and English (en).
Finetuned Model: A finetuned version of Mixtral-8x7B-v0.1, trained on a Turkish dataset.
GGUF Format: Model files are in GGUF format.

📦 Installation

No installation steps are provided in the original document.

💻 Usage Examples

No code examples are provided in the original document.

📚 Documentation

Model Information

Property	Details
Base Model	malhajar/Mixtral-8x7B-v0.1-turkish
Language	Turkish (`tr`), English (`en`)
Pipeline Tag	text-generation
License	apache-2.0
Model Type	mixtral
Library Name	transformers
Inference	false

Model Creators

Model creator: malhajar
Original model: Mixtral-8x7B-v0.1-turkish

Original Model Details

Developed by: Mohamad Alhajar
Language(s) (NLP): Turkish
Finetuned from model: mistralai/Mistral-7B-Instruct-v0.2

Original Model Description

malhajar/Mixtral-8x7B-v0.1-turkish is a finetuned version of Mixtral-8x7B-v0.1 using SFT Training. This model can answer information in Turkish as it is finetuned on a Turkish dataset specifically alpaca-gpt4-tr.

Quantization Types

Quantization Method	Bits	Size	Description	Recommended
Q3_K_S	3	20.4 GB	very small, high quality loss	❌
Q3_K_L	3	26.4 GB	small, substantial quality loss	❌
Q4_0	4	26.4 GB	legacy; small, very high quality loss	❌
Q4_K_M	4	28.4 GB	medium, balanced quality	✅
Q5_0	5	33.2 GB	legacy; medium, balanced quality	❌
Q5_K_S	5	32.2 GB	large, low quality loss	✅
Q5_K_M	5	33.2 GB	large, very low quality loss	✅
Q6_K	6	38.4 GB	very large, extremely low quality loss	❌
Q8_0	8	49.6 GB	very large, extremely low quality loss	❌

Prompt Template

### Instruction:
<prompt> (without the <>)
### Response:

🔧 Technical Details

No technical details are provided in the original document.

📄 License

The model is licensed under the apache-2.0 license.

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