Text Generation
PEFT
Safetensors
English
gpt-j
lora
reasoning
thinking
sft
qwen3-template
conversational
Instructions to use ping98k/gpt-j-6b-thinking-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ping98k/gpt-j-6b-thinking-sft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6b") model = PeftModel.from_pretrained(base_model, "ping98k/gpt-j-6b-thinking-sft-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<think>", | |
| "</think>", | |
| "<|endoftext|>" | |
| ], | |
| "from_slow": true, | |
| "is_local": true, | |
| "model_max_length": 2048, | |
| "pad_token": "<|endoftext|>", | |
| "padding_side": "left", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |