Text Classification
PEFT
Safetensors
English
decision-model
calibration
lora
multiple-choice
typesafe
qwen3.5
Eval Results (legacy)
Instructions to use jaredpalmer/kev-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaredpalmer/kev-4b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "jaredpalmer/kev-4b") - Notebooks
- Google Colab
- Kaggle
Research preview: Qwen3-4B-Base + LoRA r16, decision-v4, lr 5e-5 (trial lowdrift-4b-v4/01-trial-1); dev 0.843, transfer 0.759; locked test 0.852 / 0.794 (one ungated read)
1a0cb0a verified Download added_tokens.json from jaredpalmer/kev-4b: direct link, hf CLI and curl.
- Browser
- Download file 707 Bytes
-
https://huggingface.co/jaredpalmer/kev-4b/resolve/1da696f7938f77c4cdf5471e92fd342baff41778/added_tokens.json
- Command line
-
hf download hf://jaredpalmer/kev-4b@1da696f7938f77c4cdf5471e92fd342baff41778/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/jaredpalmer/kev-4b/resolve/1da696f7938f77c4cdf5471e92fd342baff41778/added_tokens.json
707 Bytes
| { | |
| "</think>": 151668, | |
| "</tool_call>": 151658, | |
| "</tool_response>": 151666, | |
| "<think>": 151667, | |
| "<tool_call>": 151657, | |
| "<tool_response>": 151665, | |
| "<|box_end|>": 151649, | |
| "<|box_start|>": 151648, | |
| "<|endoftext|>": 151643, | |
| "<|file_sep|>": 151664, | |
| "<|fim_middle|>": 151660, | |
| "<|fim_pad|>": 151662, | |
| "<|fim_prefix|>": 151659, | |
| "<|fim_suffix|>": 151661, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644, | |
| "<|image_pad|>": 151655, | |
| "<|object_ref_end|>": 151647, | |
| "<|object_ref_start|>": 151646, | |
| "<|quad_end|>": 151651, | |
| "<|quad_start|>": 151650, | |
| "<|repo_name|>": 151663, | |
| "<|video_pad|>": 151656, | |
| "<|vision_end|>": 151653, | |
| "<|vision_pad|>": 151654, | |
| "<|vision_start|>": 151652 | |
| } | |