Text Classification
Transformers
Safetensors
English
Chinese
gemma4
image-text-to-text
decision-model
system-one
decision-index
lora-merged
Mixture of Experts
Instructions to use PelaAI/KnowLine-26B-A4B-Gen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PelaAI/KnowLine-26B-A4B-Gen2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PelaAI/KnowLine-26B-A4B-Gen2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("PelaAI/KnowLine-26B-A4B-Gen2") model = AutoModelForMultimodalLM.from_pretrained("PelaAI/KnowLine-26B-A4B-Gen2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
9 days ago
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Model cards: drop the note on the Gen1 card figure (Gen1 card now uses the same definition)
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KnowLine-26B-A4B-Gen2: three LoRA fine-tunes of gemma-4-26B-A4B-it merged in sequence, readout temperature 1.25 (bf16)
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initial commit
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