Image-Text-to-Text
PEFT
Safetensors
English
gemma4
lora
adapter
math
code
reasoning
step-by-step
verified-data
autoscientist
adaption
negative-result
conversational
Eval Results (legacy)
Instructions to use manifesta/adaption_verified_math_code_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use manifesta/adaption_verified_math_code_instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-31B-it") model = PeftModel.from_pretrained(base_model, "manifesta/adaption_verified_math_code_instruct") - Notebooks
- Google Colab
- Kaggle
Download assets/verification.png from manifesta/adaption_verified_math_code_instruct: direct link, hf CLI and curl.
- Browser
- Download file 39.8 kB
-
https://huggingface.co/manifesta/adaption_verified_math_code_instruct/resolve/main/assets/verification.png
- Command line
-
hf download hf://manifesta/adaption_verified_math_code_instruct/assets/verification.png
-
curl -L -o verification.png https://huggingface.co/manifesta/adaption_verified_math_code_instruct/resolve/main/assets/verification.png
39.8 kB
