Instructions to use Xnhyacinth/LongWorld-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xnhyacinth/LongWorld-Checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xnhyacinth/LongWorld-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Clarify P64 source and memorization review limits
Browse files
README.md
CHANGED
|
@@ -109,7 +109,7 @@ Three independent inference-only exports are available in the `research-selected
|
|
| 109 |
| `p64-base-step200` | P64 trainer-selected best validation loss | Selected by training validation loss, not included in the cited completed step-680 downstream run. |
|
| 110 |
| `p64-base-step680` | P64 completed final endpoint | Historical GraphWalks precision/recall and parse-zero F1 were zero with 100% format failure. |
|
| 111 |
|
| 112 |
-
Each subfolder includes model shards, index, configuration, tokenizer and processor files; no optimizer, scheduler, RNG or resume shards. The exact file SHA-256 values and source binding are in [the selected export manifest](research-selected/MANIFEST.json). Tensor headers and indices were checked; no new GPU inference was performed during this publication. P64's original input manifest classifies the source as local-probe and does not establish production eligibility or strict long-dependency verification. The P456 and P64 exports are not interchangeable with the baseline variants above.
|
| 113 |
|
| 114 |
For an individual model, download only its subfolder, for example:
|
| 115 |
|
|
|
|
| 109 |
| `p64-base-step200` | P64 trainer-selected best validation loss | Selected by training validation loss, not included in the cited completed step-680 downstream run. |
|
| 110 |
| `p64-base-step680` | P64 completed final endpoint | Historical GraphWalks precision/recall and parse-zero F1 were zero with 100% format failure. |
|
| 111 |
|
| 112 |
+
Each subfolder includes model shards, index, configuration, tokenizer and processor files; no optimizer, scheduler, RNG or resume shards. The exact file SHA-256 values and source binding are in [the selected export manifest](research-selected/MANIFEST.json). Tensor headers and indices were checked; no new GPU inference was performed during this publication. P64's original input manifest classifies the source as local-probe and does not establish production eligibility or strict long-dependency verification. A scan of the P64 source data found security-related string hints, including names used in code examples; it did not establish whether those strings are valid credentials. Training-data source permissions have not been exhaustively resolved, and model memorization of sensitive material was not tested. The P456 and P64 exports are not interchangeable with the baseline variants above.
|
| 113 |
|
| 114 |
For an individual model, download only its subfolder, for example:
|
| 115 |
|