Text Classification
PEFT
Safetensors
English
decision-model
zero-shot-classification
calibration
lora
Instructions to use thinkingdbx/DECISIONx-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thinkingdbx/DECISIONx-1.5B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download decisionx.json from thinkingdbx/DECISIONx-1.5B: direct link, hf CLI and curl.
- Browser
- Download file 367 Bytes
-
https://huggingface.co/thinkingdbx/DECISIONx-1.5B/resolve/main/decisionx.json
- Command line
-
hf download hf://thinkingdbx/DECISIONx-1.5B/decisionx.json
-
curl -L -o decisionx.json https://huggingface.co/thinkingdbx/DECISIONx-1.5B/resolve/main/decisionx.json
367 Bytes
| { | |
| "config": { | |
| "base": "Qwen/Qwen2.5-1.5B-Instruct", | |
| "lora_rank": 16, | |
| "lora_alpha": 32, | |
| "lora_targets": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj", | |
| "gate_proj", | |
| "up_proj", | |
| "down_proj" | |
| ], | |
| "max_state_tokens": 768 | |
| }, | |
| "temperature": { | |
| "choice": 1.0779, | |
| "score": 1.0253, | |
| "null": 1.0253 | |
| } | |
| } |