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	---
	base_model: ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1
	language:
	- tr
	license: llama3
	pipeline_tag: text-generation
	tags:
	- Turkish
	- turkish
	- Llama
	- Llama3
	- llama-cpp
	- matrixportal
	---

	- Base model: [ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1](https://huggingface.co/ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1)
	- License: llama3

	Quantized with llama.cpp using [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where)

	## 🌍 Türkçe Dil Destekli Modeller - Performans Analizi

	### 📌 Test Edilen Modeller
	Aşağıdaki yerel modeller, Türkçe metin üretimi ve anlama yetenekleri açısından kapsamlı şekilde test edilmiştir:

	1. `CohereForAI/c4ai-command-r7b-arabic-02-2025`
	2. `CohereForAI/c4ai-command-r7b-12-2024`
	3. `CohereForAI/aya-expanse-8b`
	4. `ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1`
	5. `google/gemma-3-4b-it`
	6. `google/gemma-3-4b-pt-qat-q4_0-gguf`

	### 🔍 Test Kriterleri
	Modeller şu 3 temel soruyla değerlendirilmiştir:
	```markdown
	1. "Türkiye'deki en önemli 3 tarihi eseri ve kültürel önemini açıklar mısın?"
	2. "İstanbul'un Asya-Avrupa yakası farklarını İngilizce/Türkçe karşılaştır"
	3. "Antalya'da 3 günlük turist planı hazırla"
	```

	### 📊 Öne Çıkan Sonuçlar
	\| Model \| Kültürel Doğruluk \| Dil Akıcılığı \| Çok Dillilik \| En Güçlü Yönü \|
	\|------------------------\|------------------\|--------------\|--------------\|-----------------------------------\|
	\| Turkish-Llama-8B \| ⭐⭐⭐⭐⭐ \| ⭐⭐⭐⭐⭐ \| ⭐ \| Metaforik anlatım ve yerel bağlam \|
	\| Aya-Expanse-8B \| ⭐⭐⭐⭐ \| ⭐⭐⭐⭐ \| ⭐⭐⭐⭐⭐ \| 20+ dil desteği \|
	\| Command R7B Arabic \| ⭐⭐⭐ \| ⭐⭐⭐ \| ⭐⭐⭐ \| Arapça-Türkçe çeviri \|

	### 🔗 Tam Test Sonuçları
	Tüm model yanıtlarını detaylı incelemek için:
	[📂 Türkçe Destekli Model Karşılaştırmaları](https://huggingface.co/matrixportal/Turkce-Destekli-Model-Karsilastirmalari)

	### 💡 Kullanıcı Rehberi
	```markdown
	- 🔥 Türkçe Öncelikli Projeler → `Turkish-Llama-8B` (En yüksek kültürel uyum)
	- 🌐 Çok Dilli Uygulamalar → `Aya-Expanse-8B`
	- 📜 Resmi Dokümanlar → `Command R7B` serisi
	- 📱 Düşük Kaynak → `Gemma-3-4B` (Android uyumlu)
	```

	### ⚠️ Önemli Notlar
	- Tüm modeller GGUF kuantize formatında test edilmiştir
	- Coğrafi isimlerde %5-10 hata payı olabilir
	- Yerel kullanım için Ollama/LM Studio önerilir

	---

	### 🌟 Kişisel Deneyim
	"Yerel modellerle yaptığım testlerde özellikle Turkish-Llama-8B'nin Türkçe'yi doğal kullanımı ve kültürel bağlam hakimiyeti beni etkiledi. Siz de kendi projelerinizde bu modelleri deneyerek sonuçları [AnkaNLP](https://huggingface.co/AnkaNLP) sayfamızda paylaşabilirsiniz!"

	---

	## ✅ Quantized Models Download List

	### 🔍 Recommended Quantizations
	- ✨ General CPU Use: [`Q4_K_M`](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_k_m.gguf) (Best balance of speed/quality)
	- 📱 ARM Devices: [`Q4_0`](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_0.gguf) (Optimized for ARM CPUs)
	- 🏆 Maximum Quality: [`Q8_0`](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q8_0.gguf) (Near-original quality)

	### 📦 Full Quantization Options
	\| 🚀 Download \| 🔢 Type \| 📝 Notes \|
	\|:---------\|:-----\|:------\|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q2_k.gguf) \| ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) \| Basic quantization \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q3_k_s.gguf) \| ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) \| Small size \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q3_k_m.gguf) \| ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) \| Balanced quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q3_k_l.gguf) \| ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) \| Better quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_0.gguf) \| ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) \| Fast on ARM \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_k_s.gguf) \| ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) \| Fast, recommended \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_k_m.gguf) \| ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ \| Best balance \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q5_0.gguf) \| ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) \| Good quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q5_k_s.gguf) \| ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) \| Balanced \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q5_k_m.gguf) \| ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) \| High quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q6_k.gguf) \| ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 \| Very good quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q8_0.gguf) \| ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ \| Fast, best quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-f16.gguf) \| ![F16](https://img.shields.io/badge/F16-000000) \| Maximum accuracy \|

	💡 Tip: Use `F16` for maximum precision when quality is critical


	---
	# 🚀 Applications and Tools for Locally Quantized LLMs
	## 🖥️ Desktop Applications

	\| Application \| Description \| Download Link \|
	\|-----------------\|----------------------------------------------------------------------------------------------\|--------------------------------------------------------------------------------\|
	\| Llama.cpp \| A fast and efficient inference engine for GGUF models. \| [GitHub Repository](https://github.com/ggml-org/llama.cpp) \|
	\| Ollama \| A streamlined solution for running LLMs locally. \| [Website](https://ollama.com/) \|
	\| AnythingLLM \| An AI-powered knowledge management tool. \| [GitHub Repository](https://github.com/Mintplex-Labs/anything-llm) \|
	\| Open WebUI \| A user-friendly web interface for running local LLMs. \| [GitHub Repository](https://github.com/open-webui/open-webui) \|
	\| GPT4All \| A user-friendly desktop application supporting various LLMs, compatible with GGUF models. \| [GitHub Repository](https://github.com/nomic-ai/gpt4all) \|
	\| LM Studio \| A desktop application designed to run and manage local LLMs, supporting GGUF format. \| [Website](https://lmstudio.ai/) \|
	\| GPT4All Chat\| A chat application compatible with GGUF models for local, offline interactions. \| [GitHub Repository](https://github.com/nomic-ai/gpt4all) \|

	---

	## 📱 Mobile Applications

	\| Application \| Description \| Download Link \|
	\|-------------------\|----------------------------------------------------------------------------------------------\|--------------------------------------------------------------------------------\|
	\| ChatterUI \| A simple and lightweight LLM app for mobile devices. \| [GitHub Repository](https://github.com/Vali-98/ChatterUI) \|
	\| Maid \| Mobile Artificial Intelligence Distribution for running AI models on mobile devices. \| [GitHub Repository](https://github.com/Mobile-Artificial-Intelligence/maid) \|
	\| PocketPal AI \| A mobile AI assistant powered by local models. \| [GitHub Repository](https://github.com/a-ghorbani/pocketpal-ai) \|
	\| Layla \| A flexible platform for running various AI models on mobile devices. \| [Website](https://www.layla-network.ai/) \|

	---

	## 🎨 Image Generation Applications

	\| Application \| Description \| Download Link \|
	\|-------------------------------------\|----------------------------------------------------------------------------------------------\|--------------------------------------------------------------------------------\|
	\| Stable Diffusion \| An open-source AI model for generating images from text. \| [GitHub Repository](https://github.com/CompVis/stable-diffusion) \|
	\| Stable Diffusion WebUI \| A web application providing access to Stable Diffusion models via a browser interface. \| [GitHub Repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui) \|
	\| Local Dream \| Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference. \| [GitHub Repository](https://github.com/xororz/local-dream) \|
	\| Stable-Diffusion-Android (SDAI) \| An open-source AI art application for Android devices, enabling digital art creation. \| [GitHub Repository](https://github.com/ShiftHackZ/Stable-Diffusion-Android) \|

	---

	---
	base_model: ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1
	language:
	- tr
	license: llama3
	pipeline_tag: text-generation
	tags:
	- Turkish
	- turkish
	- Llama
	- Llama3
	- llama-cpp
	- matrixportal
	---

	- Base model: [ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1](https://huggingface.co/ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1)
	- License: llama3

	Quantized with llama.cpp using [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where)

	## 🌍 Türkçe Dil Destekli Modeller - Performans Analizi

	### 📌 Test Edilen Modeller
	Aşağıdaki yerel modeller, Türkçe metin üretimi ve anlama yetenekleri açısından kapsamlı şekilde test edilmiştir:

	1. `CohereForAI/c4ai-command-r7b-arabic-02-2025`
	2. `CohereForAI/c4ai-command-r7b-12-2024`
	3. `CohereForAI/aya-expanse-8b`
	4. `ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1`
	5. `google/gemma-3-4b-it`
	6. `google/gemma-3-4b-pt-qat-q4_0-gguf`

	### 🔍 Test Kriterleri
	Modeller şu 3 temel soruyla değerlendirilmiştir:
	```markdown
	1. "Türkiye'deki en önemli 3 tarihi eseri ve kültürel önemini açıklar mısın?"
	2. "İstanbul'un Asya-Avrupa yakası farklarını İngilizce/Türkçe karşılaştır"
	3. "Antalya'da 3 günlük turist planı hazırla"
	```

	### 📊 Öne Çıkan Sonuçlar
	\| Model \| Kültürel Doğruluk \| Dil Akıcılığı \| Çok Dillilik \| En Güçlü Yönü \|
	\|------------------------\|------------------\|--------------\|--------------\|-----------------------------------\|
	\| Turkish-Llama-8B \| ⭐⭐⭐⭐⭐ \| ⭐⭐⭐⭐⭐ \| ⭐ \| Metaforik anlatım ve yerel bağlam \|
	\| Aya-Expanse-8B \| ⭐⭐⭐⭐ \| ⭐⭐⭐⭐ \| ⭐⭐⭐⭐⭐ \| 20+ dil desteği \|
	\| Command R7B Arabic \| ⭐⭐⭐ \| ⭐⭐⭐ \| ⭐⭐⭐ \| Arapça-Türkçe çeviri \|

	### 🔗 Tam Test Sonuçları
	Tüm model yanıtlarını detaylı incelemek için:
	[📂 Türkçe Destekli Model Karşılaştırmaları](https://huggingface.co/matrixportal/Turkce-Destekli-Model-Karsilastirmalari)

	### 💡 Kullanıcı Rehberi
	```markdown
	- 🔥 Türkçe Öncelikli Projeler → `Turkish-Llama-8B` (En yüksek kültürel uyum)
	- 🌐 Çok Dilli Uygulamalar → `Aya-Expanse-8B`
	- 📜 Resmi Dokümanlar → `Command R7B` serisi
	- 📱 Düşük Kaynak → `Gemma-3-4B` (Android uyumlu)
	```

	### ⚠️ Önemli Notlar
	- Tüm modeller GGUF kuantize formatında test edilmiştir
	- Coğrafi isimlerde %5-10 hata payı olabilir
	- Yerel kullanım için Ollama/LM Studio önerilir

	---

	### 🌟 Kişisel Deneyim
	"Yerel modellerle yaptığım testlerde özellikle Turkish-Llama-8B'nin Türkçe'yi doğal kullanımı ve kültürel bağlam hakimiyeti beni etkiledi. Siz de kendi projelerinizde bu modelleri deneyerek sonuçları [AnkaNLP](https://huggingface.co/AnkaNLP) sayfamızda paylaşabilirsiniz!"

	---

	## ✅ Quantized Models Download List

	### 🔍 Recommended Quantizations
	- ✨ General CPU Use: [`Q4_K_M`](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_k_m.gguf) (Best balance of speed/quality)
	- 📱 ARM Devices: [`Q4_0`](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_0.gguf) (Optimized for ARM CPUs)
	- 🏆 Maximum Quality: [`Q8_0`](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q8_0.gguf) (Near-original quality)

	### 📦 Full Quantization Options
	\| 🚀 Download \| 🔢 Type \| 📝 Notes \|
	\|:---------\|:-----\|:------\|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q2_k.gguf) \| ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) \| Basic quantization \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q3_k_s.gguf) \| ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) \| Small size \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q3_k_m.gguf) \| ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) \| Balanced quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q3_k_l.gguf) \| ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) \| Better quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_0.gguf) \| ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) \| Fast on ARM \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_k_s.gguf) \| ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) \| Fast, recommended \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q4_k_m.gguf) \| ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ \| Best balance \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q5_0.gguf) \| ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) \| Good quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q5_k_s.gguf) \| ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) \| Balanced \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q5_k_m.gguf) \| ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) \| High quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q6_k.gguf) \| ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 \| Very good quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-q8_0.gguf) \| ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ \| Fast, best quality \|
	\| [Download](https://huggingface.co/matrixportal/Turkish-Llama-8b-Instruct-v0.1-GGUF/resolve/main/turkish-llama-8b-instruct-v0.1-f16.gguf) \| ![F16](https://img.shields.io/badge/F16-000000) \| Maximum accuracy \|

	💡 Tip: Use `F16` for maximum precision when quality is critical


	---
	# 🚀 Applications and Tools for Locally Quantized LLMs
	## 🖥️ Desktop Applications

	\| Application \| Description \| Download Link \|
	\|-----------------\|----------------------------------------------------------------------------------------------\|--------------------------------------------------------------------------------\|
	\| Llama.cpp \| A fast and efficient inference engine for GGUF models. \| [GitHub Repository](https://github.com/ggml-org/llama.cpp) \|
	\| Ollama \| A streamlined solution for running LLMs locally. \| [Website](https://ollama.com/) \|
	\| AnythingLLM \| An AI-powered knowledge management tool. \| [GitHub Repository](https://github.com/Mintplex-Labs/anything-llm) \|
	\| Open WebUI \| A user-friendly web interface for running local LLMs. \| [GitHub Repository](https://github.com/open-webui/open-webui) \|
	\| GPT4All \| A user-friendly desktop application supporting various LLMs, compatible with GGUF models. \| [GitHub Repository](https://github.com/nomic-ai/gpt4all) \|
	\| LM Studio \| A desktop application designed to run and manage local LLMs, supporting GGUF format. \| [Website](https://lmstudio.ai/) \|
	\| GPT4All Chat\| A chat application compatible with GGUF models for local, offline interactions. \| [GitHub Repository](https://github.com/nomic-ai/gpt4all) \|

	---

	## 📱 Mobile Applications

	\| Application \| Description \| Download Link \|
	\|-------------------\|----------------------------------------------------------------------------------------------\|--------------------------------------------------------------------------------\|
	\| ChatterUI \| A simple and lightweight LLM app for mobile devices. \| [GitHub Repository](https://github.com/Vali-98/ChatterUI) \|
	\| Maid \| Mobile Artificial Intelligence Distribution for running AI models on mobile devices. \| [GitHub Repository](https://github.com/Mobile-Artificial-Intelligence/maid) \|
	\| PocketPal AI \| A mobile AI assistant powered by local models. \| [GitHub Repository](https://github.com/a-ghorbani/pocketpal-ai) \|
	\| Layla \| A flexible platform for running various AI models on mobile devices. \| [Website](https://www.layla-network.ai/) \|

	---

	## 🎨 Image Generation Applications

	\| Application \| Description \| Download Link \|
	\|-------------------------------------\|----------------------------------------------------------------------------------------------\|--------------------------------------------------------------------------------\|
	\| Stable Diffusion \| An open-source AI model for generating images from text. \| [GitHub Repository](https://github.com/CompVis/stable-diffusion) \|
	\| Stable Diffusion WebUI \| A web application providing access to Stable Diffusion models via a browser interface. \| [GitHub Repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui) \|
	\| Local Dream \| Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference. \| [GitHub Repository](https://github.com/xororz/local-dream) \|
	\| Stable-Diffusion-Android (SDAI) \| An open-source AI art application for Android devices, enabling digital art creation. \| [GitHub Repository](https://github.com/ShiftHackZ/Stable-Diffusion-Android) \|

	---