Instructions to use TheCoderScientist/GarudaCoder-27B-ID-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TheCoderScientist/GarudaCoder-27B-ID-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/kaggle/temp/qwen38-27b-4bit") model = PeftModel.from_pretrained(base_model, "TheCoderScientist/GarudaCoder-27B-ID-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Qwen3.8-27B v1 Kaggle T4x2: audited SFT, pinned base, holdout manifest (Trained with Unsloth)
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 233605480
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a686e980d948ddfdf4e57e4bf46cd7f8b6d60769a1f029f7e3f86e1ce7d9716
|
| 3 |
size 233605480
|