metadata
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
- Quantized by: matrixportal
Available Files
| 🚀 Download | 🔢 Type | 📝 Description |
|---|---|---|
| Download | Q2 K | Tiny size, lowest quality (emergency use only) |
| Download | Q3 K S | Very small, low quality (basic tasks) |
| Download | Q3 K M | Small, acceptable quality |
| Download | Q3 K L | Small, better than Q3_K_M (good for low RAM) |
| Download | Q4 0 | Standard 4-bit (fast on ARM) |
| Download | Q4 K S | 4-bit optimized (good space savings) |
| Download | Q4 K M | 4-bit balanced (recommended default) |
| Download | Q5 0 | 5-bit high quality |
| Download | Q5 K S | 5-bit optimized |
| Download | Q5 K M | 5-bit best (recommended HQ option) |
| Download | Q6 K | 6-bit near-perfect (premium quality) |
| Download | Q8 0 | 8-bit maximum (overkill for most) |
| Download | F16 | Full precision (maximum accuracy) |
💡 Q4 K M provides the best balance for most use cases