Instructions to use damianborek/polaris-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use damianborek/polaris-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bespokelabs/Bespoke-Nimble-9B") model = PeftModel.from_pretrained(base_model, "damianborek/polaris-1") - Notebooks
- Google Colab
- Kaggle
Superseded by Polaris 3
Browse files
README.md
CHANGED
|
@@ -12,7 +12,7 @@ tags:
|
|
| 12 |
- nimble
|
| 13 |
---
|
| 14 |
|
| 15 |
-
> **Superseded by [Polaris
|
| 16 |
|
| 17 |
# Polaris 1
|
| 18 |
|
|
@@ -36,7 +36,8 @@ This repository was previously named `damianborek/autonoxis-conductor-9b`; that
|
|
| 36 |
|
| 37 |
## Links
|
| 38 |
|
| 39 |
-
- Polaris
|
|
|
|
| 40 |
- Vega 1 model (earlier, generative): https://huggingface.co/damianborek/vega-1
|
| 41 |
- Pi plugin + server: https://github.com/damian87x/pi-autonoxis-model
|
| 42 |
- Claude Code plugin: https://github.com/damian87x/autonoxis-model
|
|
|
|
| 12 |
- nimble
|
| 13 |
---
|
| 14 |
|
| 15 |
+
> **Superseded by [Polaris 3](https://huggingface.co/damianborek/polaris-3) (`damianborek/polaris-3`) — seed average 77.1% vs 64.9% on real orchestrator packets (3-model labels). [Polaris 2](https://huggingface.co/damianborek/polaris-2) came in between.**
|
| 16 |
|
| 17 |
# Polaris 1
|
| 18 |
|
|
|
|
| 36 |
|
| 37 |
## Links
|
| 38 |
|
| 39 |
+
- Polaris 3 model (latest, recommended): https://huggingface.co/damianborek/polaris-3
|
| 40 |
+
- Polaris 2 model (successor): https://huggingface.co/damianborek/polaris-2
|
| 41 |
- Vega 1 model (earlier, generative): https://huggingface.co/damianborek/vega-1
|
| 42 |
- Pi plugin + server: https://github.com/damian87x/pi-autonoxis-model
|
| 43 |
- Claude Code plugin: https://github.com/damian87x/autonoxis-model
|