Instructions to use DigiGreen/fact-extractor-llama-3-2-1b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Desktop
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- README.md +1 -1
- adapter_config.json +5 -5
README.md
CHANGED
|
@@ -5,4 +5,4 @@ tags:
|
|
| 5 |
base_model:
|
| 6 |
- unsloth/Llama-3.2-1B-Instruct
|
| 7 |
pipeline_tag: text-generation
|
| 8 |
-
---
|
|
|
|
| 5 |
base_model:
|
| 6 |
- unsloth/Llama-3.2-1B-Instruct
|
| 7 |
pipeline_tag: text-generation
|
| 8 |
+
---
|
adapter_config.json
CHANGED
|
@@ -20,13 +20,13 @@
|
|
| 20 |
"rank_pattern": {},
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
-
"
|
| 24 |
-
"
|
| 25 |
"gate_proj",
|
|
|
|
|
|
|
| 26 |
"up_proj",
|
| 27 |
-
"
|
| 28 |
-
"k_proj",
|
| 29 |
-
"down_proj"
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|
|
|
|
| 20 |
"rank_pattern": {},
|
| 21 |
"revision": null,
|
| 22 |
"target_modules": [
|
| 23 |
+
"k_proj",
|
| 24 |
+
"o_proj",
|
| 25 |
"gate_proj",
|
| 26 |
+
"q_proj",
|
| 27 |
+
"down_proj",
|
| 28 |
"up_proj",
|
| 29 |
+
"v_proj"
|
|
|
|
|
|
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|