Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`WizardLM/WizardCoder-15B-V1.0`](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.
How did we find this information? We extracted this infromation from the `adapter_config.json` file of your model.
**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.
For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).
This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).
If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
tags:
|
3 |
- sql
|
4 |
- spider
|
@@ -10,8 +12,7 @@ tags:
|
|
10 |
datasets:
|
11 |
- spider
|
12 |
- richardr1126/spider-natsql-context-instruct
|
13 |
-
|
14 |
-
license: bigcode-openrail-m
|
15 |
---
|
16 |
### Spider NatSQL Wizard Coder QLoRA Adapter Summary
|
17 |
|
|
|
1 |
---
|
2 |
+
license: bigcode-openrail-m
|
3 |
+
library_name: peft
|
4 |
tags:
|
5 |
- sql
|
6 |
- spider
|
|
|
12 |
datasets:
|
13 |
- spider
|
14 |
- richardr1126/spider-natsql-context-instruct
|
15 |
+
base_model: WizardLM/WizardCoder-15B-V1.0
|
|
|
16 |
---
|
17 |
### Spider NatSQL Wizard Coder QLoRA Adapter Summary
|
18 |
|