Download config.json from FluidInference/granite-embedding-30m-sparse-coreml: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/FluidInference/granite-embedding-30m-sparse-coreml/resolve/main/config.json
- Command line
-
hf download hf://FluidInference/granite-embedding-30m-sparse-coreml/config.json
-
curl -L -o config.json https://huggingface.co/FluidInference/granite-embedding-30m-sparse-coreml/resolve/main/config.json
1.09 kB
| { | |
| "base_model": "ibm-granite/granite-embedding-30m-sparse", | |
| "base_model_revision": "ad82b1fd09541c998c8d45045d601c51fdb8a9b7", | |
| "format": "coreml", | |
| "precision": "fp16", | |
| "sequence_lengths": [ | |
| 64, | |
| 128, | |
| 256, | |
| 512 | |
| ], | |
| "input": { | |
| "name": "input_ids", | |
| "dtype": "int32", | |
| "shape": [ | |
| 1, | |
| "L" | |
| ], | |
| "pad_token_id": 1, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2 | |
| }, | |
| "outputs": { | |
| "max_logits": "fp16[1,192] token-max-pooled MLM logits, sorted descending", | |
| "vocab_ids": "int32[1,192] RoBERTa vocab ids" | |
| }, | |
| "top_k": 192, | |
| "vocab_size": 50265, | |
| "evoke": { | |
| "source": "Intelligent-Internet/Evoke-Model-Beta-1 (P2.2, evoke_p2_semantic_onnx_v2)", | |
| "semantic_atom_offset": 29522, | |
| "pooling": "weight = (log1p(max(v, 0)) ** gamma) * scale over the first active_dims; keep weight > 0", | |
| "query": { | |
| "active_dims": 50, | |
| "gamma": 1.8518644571304321, | |
| "score_scale": 0.6963680386543274 | |
| }, | |
| "document": { | |
| "active_dims": 192, | |
| "gamma": 0.5627960562705994, | |
| "score_scale": 1.0 | |
| } | |
| } | |
| } |