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Aya-TR-V1-GGUF
matrixportalx/Aya-TR-V1-GGUF
Aya-TR-V1-GGUF is a machine learning model from matrixportalx. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Quantization Tool: llama.cpp - Version: version: 5213 (43ddab6e)
All-time downloads
1.4K
Public
Repo size
79.1 GB
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0
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Repo makeup
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.gguf79.1 GB · 100%
At a glance
- Access
- Public
- Created
- Apr 28, 2025
- Updated
- Apr 28, 2025
- SHA
- 145097df
Model card
From the Hugging Face model README
Aya-TR-V1 GGUF Quantized Models
Technical Details
- Quantization Tool: llama.cpp
- Version: version: 5213 (43ddab6e)
Model Information
- Base Model: matrixportal/Aya-TR-V1
- 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
- Languages
- tr, en
- Created
- Apr 28, 2025
- Updated
- Apr 28, 2025