Instructions to use ndgold/Qwen3-0.6B-EasyLanguage-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ndgold/Qwen3-0.6B-EasyLanguage-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-0.6B-EasyLanguage-4bit ndgold/Qwen3-0.6B-EasyLanguage-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
add fig_parrot.png
Browse files- .gitattributes +1 -0
- figures/fig_parrot.png +3 -0
.gitattributes
CHANGED
|
@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
figures/fig_sari.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
figures/fig_sari.png filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
figures/fig_parrot.png filter=lfs diff=lfs merge=lfs -text
|
figures/fig_parrot.png
ADDED
|
Git LFS Details
|