Instructions to use Nutanix/starcoder2-15b_go_unit_tests_lora_8_alpha_16_class_level with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nutanix/starcoder2-15b_go_unit_tests_lora_8_alpha_16_class_level with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nutanix/starcoder2-15b_go_unit_tests_lora_8_alpha_16_class_level", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +4 -4
adapter_config.json
CHANGED
|
@@ -21,12 +21,12 @@
|
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
"up_proj",
|
| 24 |
-
"v_proj",
|
| 25 |
-
"k_proj",
|
| 26 |
"gate_proj",
|
|
|
|
|
|
|
|
|
|
| 27 |
"o_proj",
|
| 28 |
-
"q_proj"
|
| 29 |
-
"down_proj"
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|
|
|
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
"up_proj",
|
|
|
|
|
|
|
| 24 |
"gate_proj",
|
| 25 |
+
"down_proj",
|
| 26 |
+
"k_proj",
|
| 27 |
+
"v_proj",
|
| 28 |
"o_proj",
|
| 29 |
+
"q_proj"
|
|
|
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|