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 head.pt from gyung/Qwev-9B-RLCD: direct link, hf CLI and curl.
- Browser
- Download file 8.39 MB
-
https://huggingface.co/gyung/Qwev-9B-RLCD/resolve/main/head.pt
- Command line
-
hf download hf://gyung/Qwev-9B-RLCD/head.pt
-
curl -L -o head.pt https://huggingface.co/gyung/Qwev-9B-RLCD/resolve/main/head.pt
8.39 MB
- Xet hash:
- 82f01e925f4dbd24c87d9bb81e8faab5d6d7a625cc8c1dfe13dfb80447e59c36
- Size of remote file:
- 8.39 MB
- SHA256:
- ad39156a2e35ba43422947097b1955e3197c40edb26013105965c07bb50b11a4
·
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