Instructions to use regulationLee/gemma-3b-it-healthcare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use regulationLee/gemma-3b-it-healthcare with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("regulationLee/gemma-3b-it-healthcare", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
adapter_config.json
CHANGED
|
@@ -27,13 +27,13 @@
|
|
| 27 |
"rank_pattern": {},
|
| 28 |
"revision": null,
|
| 29 |
"target_modules": [
|
| 30 |
-
"o_proj",
|
| 31 |
-
"q_proj",
|
| 32 |
"gate_proj",
|
| 33 |
-
"
|
| 34 |
-
"up_proj",
|
| 35 |
"v_proj",
|
| 36 |
-
"
|
|
|
|
|
|
|
|
|
|
| 37 |
],
|
| 38 |
"task_type": "CAUSAL_LM",
|
| 39 |
"trainable_token_indices": null,
|
|
|
|
| 27 |
"rank_pattern": {},
|
| 28 |
"revision": null,
|
| 29 |
"target_modules": [
|
|
|
|
|
|
|
| 30 |
"gate_proj",
|
| 31 |
+
"k_proj",
|
|
|
|
| 32 |
"v_proj",
|
| 33 |
+
"down_proj",
|
| 34 |
+
"q_proj",
|
| 35 |
+
"o_proj",
|
| 36 |
+
"up_proj"
|
| 37 |
],
|
| 38 |
"task_type": "CAUSAL_LM",
|
| 39 |
"trainable_token_indices": null,
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1260191096
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5243230ca4b368c5a1b7f78c4d7f654d99f4648caea7093efe6cd500addb92b8
|
| 3 |
size 1260191096
|
runs/Apr01_15-52-25_sakakai01/events.out.tfevents.1743490346.sakakai01.56346.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa83a13d254bc23b805cce9d5926334b7085b8726916c8b85b8c7bbf2ad9dd6d
|
| 3 |
+
size 15660
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5688
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:985a4a752b94d7c3900fa7c5bf0fd19c50c1639bd079aa11afcf4792c4a61653
|
| 3 |
size 5688
|