Text Classification
Transformers
Safetensors
English
Chinese
gemma4
image-text-to-text
decision-model
system-one
decision-index
lora-merged
Instructions to use PelaAI/KnowLine-31B-Gen1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PelaAI/KnowLine-31B-Gen1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PelaAI/KnowLine-31B-Gen1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PelaAI/KnowLine-31B-Gen1") model = AutoModelForMultimodalLM.from_pretrained("PelaAI/KnowLine-31B-Gen1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Congrats on #1 on the Decision Index!
#1
by tardellirs - opened
Congrats to the PelaAI team: KnowLine 31B Gen1 just took first place on the Decision Index with a Full score of 71.86, and its private score came out above the public one (70.13), which says a lot about how well it generalizes. And with KnowLine 35B-A3B Gen1.5 also being the fastest model above 60 (47 ms median), the KnowLine family now leads on both quality and speed. Great work!
Thank you for your feedback. We are about to release the Gen2 version, which will offer improved generalization performance. Please look forward to it.