Text Classification
PEFT
Safetensors
English
Korean
rlcd
system-1
non-autoregressive
decision-model
reward-model
llm-judge
calibrated-decisions
kev
qwen3.5
reinforcement-learning
fast-inference
ultra-low-latency
Instructions to use gyung/Qwev-9B-RLCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gyung/Qwev-9B-RLCD with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from gyung/Qwev-9B-RLCD: direct link, hf CLI and curl.
- Browser
- Download file 86.6 MB
-
https://huggingface.co/gyung/Qwev-9B-RLCD/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://gyung/Qwev-9B-RLCD/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/gyung/Qwev-9B-RLCD/resolve/main/adapter_model.safetensors
86.6 MB
- Xet hash:
- be5e89f0d5af1943306490ff2d3053ed69af2c9e52d495b7bb584c6fb90213b9
- Size of remote file:
- 86.6 MB
- SHA256:
- fe7265384b8f127a790c5405c07b649d16510961c5ac5b7fcb4cc7f84f4b643b
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