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
File size: 462 Bytes
303b8c5 11f2fc5 303b8c5 11f2fc5 303b8c5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"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|>"
}
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