Downloads · 30 days
171
2% of all-time downloads
akhooli_-_gpt2-small-arabic-gguf
RichardErkhov/akhooli_-_gpt2-small-arabic-gguf
akhooli_-_gpt2-small-arabic-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
All-time downloads
6.9K
Public
Repo size
1.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf2.3 GB · 100%
At a glance
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024
- SHA
- aa05717e
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
gpt2-small-arabic - GGUF
- Model creator: https://huggingface.co/akhooli/
- Original model: https://huggingface.co/akhooli/gpt2-small-arabic/
| Name | Quant method | Size |
|---|---|---|
| gpt2-small-arabic.Q2_K.gguf | Q2_K | 0.08GB |
| gpt2-small-arabic.IQ3_XS.gguf | IQ3_XS | 0.08GB |
| gpt2-small-arabic.IQ3_S.gguf | IQ3_S | 0.08GB |
| gpt2-small-arabic.Q3_K_S.gguf | Q3_K_S | 0.08GB |
| gpt2-small-arabic.IQ3_M.gguf | IQ3_M | 0.09GB |
| gpt2-small-arabic.Q3_K.gguf | Q3_K | 0.09GB |
| gpt2-small-arabic.Q3_K_M.gguf | Q3_K_M | 0.09GB |
| gpt2-small-arabic.Q3_K_L.gguf | Q3_K_L | 0.1GB |
| gpt2-small-arabic.IQ4_XS.gguf | IQ4_XS | 0.1GB |
| gpt2-small-arabic.Q4_0.gguf | Q4_0 | 0.1GB |
| gpt2-small-arabic.IQ4_NL.gguf | IQ4_NL | 0.1GB |
| gpt2-small-arabic.Q4_K_S.gguf | Q4_K_S | 0.1GB |
| gpt2-small-arabic.Q4_K.gguf | Q4_K | 0.11GB |
| gpt2-small-arabic.Q4_K_M.gguf | Q4_K_M | 0.11GB |
| gpt2-small-arabic.Q4_1.gguf | Q4_1 | 0.11GB |
| gpt2-small-arabic.Q5_0.gguf | Q5_0 | 0.11GB |
| gpt2-small-arabic.Q5_K_S.gguf | Q5_K_S | 0.11GB |
| gpt2-small-arabic.Q5_K.gguf | Q5_K | 0.12GB |
| gpt2-small-arabic.Q5_K_M.gguf | Q5_K_M | 0.12GB |
| gpt2-small-arabic.Q5_1.gguf | Q5_1 | 0.12GB |
| gpt2-small-arabic.Q6_K.gguf | Q6_K | 0.13GB |
Original model description:
language: "ar" datasets:
- Arabic Wikipedia metrics:
- none
GPT2-Small-Arabic
Model description
GPT2 model from Arabic Wikipedia dataset based on gpt2-small (using Fastai2).
Intended uses & limitations
How to use
An example is provided in this colab notebook. Both text and poetry (fine-tuned model) generation are included.
Limitations and bias
GPT2-small-arabic (trained on Arabic Wikipedia) has several limitations in terms of coverage (Arabic Wikipeedia quality, no diacritics) and training performance. Use as demonstration or proof of concepts but not as production code.
Training data
This pretrained model used the Arabic Wikipedia dump (around 900 MB).
Training procedure
Training was done using Fastai2 library on Kaggle, using free GPU.
Eval results
Final perplexity reached was 72.19, loss: 4.28, accuracy: 0.307
BibTeX entry and citation info
@inproceedings{Abed Khooli,
year={2020}
}
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024