Transformers
English
deepseek-v4
mixture-of-experts
abliterated
fp8
model-surgery
mechanistic-interpretability
Instructions to use mradermacher/DeepSeek-V4-Flash-0731-Abliterated-FP8-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/DeepSeek-V4-Flash-0731-Abliterated-FP8-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/DeepSeek-V4-Flash-0731-Abliterated-FP8-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
DeepSeek-V4-Flash-0731-Abliterated-FP8-GGUF / DeepSeek-V4-Flash-0731-Abliterated-FP8.Q2_K.gguf.part2of3
- Xet hash:
- a12d7e07bc9878d6087ef13bacdf89ef0dfc2e473e998e7c2fec7179ccfd5123
- Size of remote file:
- 34.4 GB
- SHA256:
- fa302b02341aeb118fd92ef309abbb9c8c2e1150e65d6914fc6bdc9596fca498
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