Instructions to use MF0619/SFTv13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MF0619/SFTv13 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "MF0619/SFTv13") - Notebooks
- Google Colab
- Kaggle
Upload 6 files
Browse files- adapter_config.json +3 -3
adapter_config.json
CHANGED
|
@@ -33,13 +33,13 @@
|
|
| 33 |
"rank_pattern": {},
|
| 34 |
"revision": null,
|
| 35 |
"target_modules": [
|
| 36 |
-
"q_proj",
|
| 37 |
-
"gate_proj",
|
| 38 |
"down_proj",
|
| 39 |
"k_proj",
|
|
|
|
| 40 |
"o_proj",
|
| 41 |
"v_proj",
|
| 42 |
-
"up_proj"
|
|
|
|
| 43 |
],
|
| 44 |
"target_parameters": null,
|
| 45 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 33 |
"rank_pattern": {},
|
| 34 |
"revision": null,
|
| 35 |
"target_modules": [
|
|
|
|
|
|
|
| 36 |
"down_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"gate_proj",
|
| 39 |
"o_proj",
|
| 40 |
"v_proj",
|
| 41 |
+
"up_proj",
|
| 42 |
+
"q_proj"
|
| 43 |
],
|
| 44 |
"target_parameters": null,
|
| 45 |
"task_type": "CAUSAL_LM",
|