Zero-Shot Classification
Safetensors
PEFT
English
vllm
qwen3_5_text
decision-model
typed-decisions
calibrated-probabilities
classification
nli
cross-encoder
lora
qwen3.8
jevbench
agents
llm-judge
Eval Results (legacy)
Instructions to use Superwheat/Gimbal-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Superwheat/Gimbal-27B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Superwheat/Gimbal-27B: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/Superwheat/Gimbal-27B/resolve/main/tokenizer.json
- Command line
-
hf download hf://Superwheat/Gimbal-27B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Superwheat/Gimbal-27B/resolve/main/tokenizer.json
12.8 MB
- Xet hash:
- ddca7e708ff0da8902fdcef5209d5eea8bf922715733eb02f93026a37478e426
- Size of remote file:
- 12.8 MB
- SHA256:
- 0997f410c57a1f4e53b09e4be8f4a172d90edd9564368fb0847030937229b9f3
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