Transformers
Safetensors
dflash2
speculative-decoding
draft-model
Mixture of Experts
code
speculators
vllm
Instructions to use DaoCloud/KAT-Coder-V2.5-Dev-DFlash2-2.6B-A0.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaoCloud/KAT-Coder-V2.5-Dev-DFlash2-2.6B-A0.3B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DaoCloud/KAT-Coder-V2.5-Dev-DFlash2-2.6B-A0.3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c30b2109b248bdb197d4941cbf5a5c8c6bdee17af1f993c9d73ed6c0743ebe5
- Size of remote file:
- 5.28 GB
- SHA256:
- 8e96fdfa924405443b566be3a961eb087cd6991665040b05d7c3ec739d5469ee
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