Instructions to use HaadesX/Iconoclast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaadesX/Iconoclast with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaadesX/Iconoclast", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- falcon3-7b-heretic
- falcon3-7b-seq
- gemma2-2b-heretic
- gemma2-2b-seq
- llama3-1-8b-heretic
- llama3-1-8b-rutgers-benchmark
- mistral-7b-heretic
- mistral-7b-seq
- olmo2-1b-heretic
- olmo2-1b-seq
- phi35-mini-rutgers-benchmark
- phi35-mini-rutgers-nullspace-benchmark-v3
- phi35-mini-rutgers-nullspace-benchmark
- phi4-mini-heretic
- phi4-mini-seq
- qwen2-5-3b-base-rutgers-benchmark-v2
- qwen2-5-3b-rutgers-benchmark
- qwen3-1p7b-rutgers-paper-directness
- qwen3-1p7b-rutgers
- qwen3-4b-rutgers-benchmark-v2
- qwen3-4b-rutgers-benchmark
- qwen3-5-9b-base-heretic
- qwen3-5-9b-base-rutgers-benchmark-v4
- smollm2-1p7b-heretic
- smollm2-1p7b-rutgers-benchmark
- stablelm2-1p6b-heretic
- stablelm2-1p6b-seq
- yi-1p5-9b-heretic
- yi-1p5-9b-seq