Instructions to use yeok/Qwen3-8B-AtanasovaEtalCounterfact with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeok/Qwen3-8B-AtanasovaEtalCounterfact with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yeok/Qwen3-8B-AtanasovaEtalCounterfact", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use yeok/Qwen3-8B-AtanasovaEtalCounterfact with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for yeok/Qwen3-8B-AtanasovaEtalCounterfact to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for yeok/Qwen3-8B-AtanasovaEtalCounterfact to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for yeok/Qwen3-8B-AtanasovaEtalCounterfact to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="yeok/Qwen3-8B-AtanasovaEtalCounterfact", max_seq_length=2048, )
Save upon exception at 0 (Trained with Unsloth)
Browse files- adapter_config.json +3 -3
adapter_config.json
CHANGED
|
@@ -26,11 +26,11 @@
|
|
| 26 |
"target_modules": [
|
| 27 |
"up_proj",
|
| 28 |
"o_proj",
|
|
|
|
| 29 |
"v_proj",
|
|
|
|
| 30 |
"q_proj",
|
| 31 |
-
"
|
| 32 |
-
"down_proj",
|
| 33 |
-
"gate_proj"
|
| 34 |
],
|
| 35 |
"task_type": "CAUSAL_LM",
|
| 36 |
"trainable_token_indices": null,
|
|
|
|
| 26 |
"target_modules": [
|
| 27 |
"up_proj",
|
| 28 |
"o_proj",
|
| 29 |
+
"k_proj",
|
| 30 |
"v_proj",
|
| 31 |
+
"gate_proj",
|
| 32 |
"q_proj",
|
| 33 |
+
"down_proj"
|
|
|
|
|
|
|
| 34 |
],
|
| 35 |
"task_type": "CAUSAL_LM",
|
| 36 |
"trainable_token_indices": null,
|