初始化项目，由ModelHub XC社区提供模型

Model: matrixportalx/Llama3-8B-Instruct-Turkish-Finetuned-GGUF
Source: Original Platform

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README.md

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+---
+datasets:
+- matrixportal/aya-turkish-alpaca
+- cenfis/alpaca-turkish-combined
+- merve/turkish_instructions
+- CohereLabs/aya_collection_language_split
+language:
+- tr
+- en
+base_model:
+- meta-llama/Meta-Llama-3-8B-Instruct
+---
+
+# Llama3-8B-Instruct-Turkish-Finetuned GGUF Quantized Models
+
+## Technical Details
+- **Quantization Tool:** llama.cpp
+- **Version:** version: 5162 (2016f07b)
+
+## Model Information
+- **Base Model:** [matrixportal/Llama3-8B-Instruct-Turkish-Finetuned](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned)
+- **Quantized by:** [matrixportal](https://huggingface.co/matrixportal)
+
+## Available Files
+| 🚀 Download | 🔢 Type | 📝 Description |
+|------------|---------|---------------|
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q2_k.gguf) | Q2 K | Tiny size, lowest quality (emergency use only) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q3_k_s.gguf) | Q3 K S | Very small, low quality (basic tasks) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q3_k_m.gguf) | Q3 K M | Small, acceptable quality |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q3_k_l.gguf) | Q3 K L | Small, better than Q3_K_M (good for low RAM) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q4_0.gguf) | Q4 0 | Standard 4-bit (fast on ARM) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q4_k_s.gguf) | Q4 K S | 4-bit optimized (good space savings) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q4_k_m.gguf) | Q4 K M | 4-bit balanced (recommended default) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q5_0.gguf) | Q5 0 | 5-bit high quality |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q5_k_s.gguf) | Q5 K S | 5-bit optimized |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q5_k_m.gguf) | Q5 K M | 5-bit best (recommended HQ option) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q6_k.gguf) | Q6 K | 6-bit near-perfect (premium quality) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.q8_0.gguf) | Q8 0 | 8-bit maximum (overkill for most) |
+| [Download](https://huggingface.co/matrixportal/Llama3-8B-Instruct-Turkish-Finetuned-GGUF/resolve/main/llama3-8b-instruct-turkish-finetuned.f16.gguf) | F16 | Full precision (maximum accuracy) |
+
+💡 **Q4 K M** provides the best balance for most use cases

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