|
--- |
|
language: |
|
- sr |
|
license: cc |
|
tags: |
|
- text-generation-inference |
|
- transformers |
|
- mistral |
|
- gguf |
|
zero base_model: gordicaleksa/YugoGPT |
|
model_creator: Gordic Aleksa |
|
model_type: mistral |
|
quantized_by: datatab |
|
datasets: |
|
- datatab/alpaca-cleaned-serbian-full |
|
--- |
|
|
|
# Yugo45-GPT-Quantized-GGUF |
|
|
|
- **Quantized by:** datatab |
|
- **License:** CC-BY-4.0 |
|
- **Original model author**: [gordicaleksa/YugoGPT](https://huggingface.co/gordicaleksa/YugoGPT/) |
|
- **Special thanks for idea**: [**Stopwolf**](https://huggingface.co/Stopwolf) and this **X** post [**@TheStopwolf**](https://twitter.com/TheStopwolf/status/1761350502212599890) |
|
|
|
<!-- description start --> |
|
## Description |
|
|
|
This repo contains GGUF format model files for [Yugo45-GPT](https://huggingface.co/datatab/Yugo45-GPT). |
|
|
|
<!-- description end --> |
|
|
|
# Quant. preference |
|
|
|
| Quant. | Description | |
|
|---------------|---------------------------------------------------------------------------------------| |
|
| not_quantized | Recommended. Fast conversion. Slow inference, big files. | |
|
| fast_quantized| Recommended. Fast conversion. OK inference, OK file size. | |
|
| quantized | Recommended. Slow conversion. Fast inference, small files. | |
|
| f32 | Not recommended. Retains 100% accuracy, but super slow and memory hungry. | |
|
| f16 | Fastest conversion + retains 100% accuracy. Slow and memory hungry. | |
|
| q8_0 | Fast conversion. High resource use, but generally acceptable. | |
|
| q4_k_m | Recommended. Uses Q6_K for half of the attention.wv and feed_forward.w2 tensors, else Q4_K | |
|
| q5_k_m | Recommended. Uses Q6_K for half of the attention.wv and feed_forward.w2 tensors, else Q5_K | |
|
| q2_k | Uses Q4_K for the attention.vw and feed_forward.w2 tensors, Q2_K for the other tensors.| |
|
| q3_k_l | Uses Q5_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else Q3_K | |
|
| q3_k_m | Uses Q4_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else Q3_K | |
|
| q3_k_s | Uses Q3_K for all tensors | |
|
| q4_0 | Original quant method, 4-bit. | |
|
| q4_1 | Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models.| |
|
| q4_k_s | Uses Q4_K for all tensors | |
|
| q4_k | alias for q4_k_m | |
|
| q5_k | alias for q5_k_m | |
|
| q5_0 | Higher accuracy, higher resource usage and slower inference. | |
|
| q5_1 | Even higher accuracy, resource usage and slower inference. | |
|
| q5_k_s | Uses Q5_K for all tensors | |
|
| q6_k | Uses Q8_K for all tensors | |
|
| iq2_xxs | 2.06 bpw quantization | |
|
| iq2_xs | 2.31 bpw quantization | |
|
| iq3_xxs | 3.06 bpw quantization | |
|
| q3_k_xs | 3-bit extra small quantization | |
