Instructions to use NoOrdinaryJoy/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NoOrdinaryJoy/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "NoOrdinaryJoy/outputs") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download original/params.json from NoOrdinaryJoy/outputs: direct link, hf CLI and curl.
- Browser
- Download file 211 Bytes
-
https://huggingface.co/NoOrdinaryJoy/outputs/resolve/main/original/params.json
- Command line
-
hf download hf://NoOrdinaryJoy/outputs/original/params.json
-
curl -L -o params.json https://huggingface.co/NoOrdinaryJoy/outputs/resolve/main/original/params.json
211 Bytes
| { | |
| "dim": 4096, | |
| "n_layers": 32, | |
| "n_heads": 32, | |
| "n_kv_heads": 8, | |
| "vocab_size": 128256, | |
| "multiple_of": 1024, | |
| "ffn_dim_multiplier": 1.3, | |
| "norm_eps": 1e-05, | |
| "rope_theta": 500000.0 | |
| } |