Update README.md
Browse files
README.md
CHANGED
|
@@ -16,6 +16,15 @@ language:
|
|
| 16 |
- **License:** apache-2.0
|
| 17 |
- **Finetuned from model :** unsloth/gpt-oss-20b-unsloth-bnb-4bit
|
| 18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
This gpt_oss model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
| 20 |
|
| 21 |
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|
|
|
|
| 16 |
- **License:** apache-2.0
|
| 17 |
- **Finetuned from model :** unsloth/gpt-oss-20b-unsloth-bnb-4bit
|
| 18 |
|
| 19 |
+
ACI_Cyber_Base_GPT_OSS_20B is an LLM derivied from openai/gpt-oss:20b, continued pretrained with security related corpus including computer security QA, CVE descriptions, MITRE ATTCK framework descriptions, Incident Response playbooks, and penetration testing knowledge QA.
|
| 20 |
+
|
| 21 |
+
Multi-judge experiment demonstrates that this model consistently outperforms openai/gpt-oss:20b in SOC investigation planning:
|
| 22 |
+
|
| 23 |
+

|
| 24 |
+

|
| 25 |
+
|
| 26 |
+
Detailed experiment is documented [here](https://github.com/Automatic-Case-Investigator/ACI_Training_Experiment)
|
| 27 |
+
|
| 28 |
This gpt_oss model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
| 29 |
|
| 30 |
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|