Instructions to use EdBerg/38B_Baha_2C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/38B_Baha_2C with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EdBerg/38B_Baha_2C") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 530
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 335604696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0a515cb5b429adae2e81d5cf0228d04b9ff21d2f58b8bae18bc96178e12bc235
|
| 3 |
size 335604696
|
runs/Oct02_23-47-46_0b1ace161363/events.out.tfevents.1727912870.0b1ace161363.200.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a5659c9776ae6602ce3d04f5fa19e3dac17d8bd3d33e99a123874d8100922e0a
|
| 3 |
+
size 16954
|