Instructions to use songdj/Lev-2.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use songdj/Lev-2.6B with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("ByteDance/Ouro-2.6B") model = PeftModel.from_pretrained(base_model, "songdj/Lev-2.6B") - Notebooks
- Google Colab
- Kaggle
Download validation.json from songdj/Lev-2.6B: direct link, hf CLI and curl.
- Browser
- Download file 1.62 kB
-
https://huggingface.co/songdj/Lev-2.6B/resolve/main/validation.json
- Command line
-
hf download hf://songdj/Lev-2.6B/validation.json
-
curl -L -o validation.json https://huggingface.co/songdj/Lev-2.6B/resolve/main/validation.json
1.62 kB
| { | |
| "status": "cpu-package-verified", | |
| "gpu_parity": "pending", | |
| "model_inference_run": false, | |
| "dataset_examples_read": false, | |
| "seed": 0, | |
| "depths": 4, | |
| "head_loaded_with": "torch.load(weights_only=True, map_location='cpu')", | |
| "head_tensors": { | |
| "q.weight": { | |
| "shape": [ | |
| 256, | |
| 2048 | |
| ], | |
| "dtype": "torch.float32", | |
| "exact_equal": true | |
| }, | |
| "q.bias": { | |
| "shape": [ | |
| 256 | |
| ], | |
| "dtype": "torch.float32", | |
| "exact_equal": true | |
| }, | |
| "k.weight": { | |
| "shape": [ | |
| 256, | |
| 2048 | |
| ], | |
| "dtype": "torch.float32", | |
| "exact_equal": true | |
| }, | |
| "k.bias": { | |
| "shape": [ | |
| 256 | |
| ], | |
| "dtype": "torch.float32", | |
| "exact_equal": true | |
| } | |
| }, | |
| "head_schema": [ | |
| "base", | |
| "base_revision", | |
| "head", | |
| "head_dim", | |
| "holdout", | |
| "loop", | |
| "lora", | |
| "option_isolation", | |
| "special_embeddings", | |
| "temperature", | |
| "weights", | |
| "weights_dtype" | |
| ], | |
| "inference_metadata_exactly_preserved": true, | |
| "metadata_loader": "kev.checkpoint.Checkpoint: passed", | |
| "pointer_head_strict_load": "passed", | |
| "adapter_byte_identical": true, | |
| "adapter_tensor_count": 672, | |
| "base_revision_pinned_in_head_and_adapter": true, | |
| "tokenizer_payload_byte_identical": true, | |
| "private_metadata_and_credential_scan": "passed on metadata, cards, configuration and tensor names", | |
| "remaining_gates": [ | |
| "Fresh-environment GPU inference parity on approved development examples", | |
| "Compatible code release validation", | |
| "Final public-release review and explicit visibility change" | |
| ] | |
| } | |