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.Q5_K_M.gguf.part2of5
- Xet hash:
- c24d77c520eb4f11948048e90b9b06a12ef3d9b76dd16c65262cc0deff10131b
- Size of remote file:
- 40.8 GB
- SHA256:
- c581c6cd205e019e6a788f7c7c285593822d568efcebfdda82a90f4876ff6f47
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