Text Generation
PEFT
TensorBoard
Safetensors
code
differential-privacy
code-generation
continued-pretraining
lora
dp-sgd
opacus
privacy
Instructions to use melihcatal/codedp-cpt-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use melihcatal/codedp-cpt-models with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download qwen3-4b-instruct/base/codecarbon.csv from melihcatal/codedp-cpt-models: direct link, hf CLI and curl.
- Browser
- Download file 1.05 kB
-
https://huggingface.co/melihcatal/codedp-cpt-models/resolve/main/qwen3-4b-instruct/base/codecarbon.csv
- Command line
-
hf download hf://melihcatal/codedp-cpt-models/qwen3-4b-instruct/base/codecarbon.csv
-
curl -L -o codecarbon.csv https://huggingface.co/melihcatal/codedp-cpt-models/resolve/main/qwen3-4b-instruct/base/codecarbon.csv
1.05 kB
| timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,water_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,cpu_utilization_percent,gpu_utilization_percent,ram_utilization_percent,ram_used_gb,on_cloud,pue,wue | |
| 2026-03-17T16:14:46,codedp-qwen3-4b-instruct-cpt-base,c4455506-be9b-4ebf-9411-44a1ca74c256,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,2345.9966679112986,0.09022432714096462,3.8458847096868924e-05,72.02285277932866,3280.290622412428,54.0,0.045218986505725985,2.137964725370466,0.03390259211605879,2.2170863039922497,0.0,Sweden,SWE,östergötland county,,,Linux-6.8.0-94-generic-x86_64-with-glibc2.39,3.11.0,3.2.3,256,AMD EPYC 9554 64-Core Processor,8,8 x NVIDIA H200,16.1885,58.594,1511.49019241333,machine,3.3142796066695253,88.58721675929884,5.287772552372644,79.7947571596665,N,1.0,0.0 | |