Sentence Similarity
ONNX
Safetensors
English
ogma
embeddings
dense-retrieval
matryoshka
rag
agents
mteb
semantic-search
text-embeddings
text-embedding
vector-search
document-retrieval
similarity-search
classification
clustering
edge-ai
on-device
local-inference
efficient-ai
rag-retrieval
custom_code
Eval Results (legacy)
| { | |
| "architectures": [ | |
| "OgmaModel" | |
| ], | |
| "model_type": "ogma", | |
| "auto_map": { | |
| "AutoConfig": "configuration_ogma.OgmaConfig", | |
| "AutoModel": "ogma_model.OgmaModel" | |
| }, | |
| "variant": "transformer", | |
| "d_embed": 128, | |
| "d_model": 256, | |
| "d_output": 256, | |
| "n_layers": 12, | |
| "n_heads": 4, | |
| "vocab_size": 30000, | |
| "max_seq_len": 1024, | |
| "matryoshka_dims": [ | |
| 32, | |
| 64, | |
| 128, | |
| 256 | |
| ], | |
| "pooling": "mean", | |
| "ffn_mult": 2.6666666666666665, | |
| "conv_kernel_size": 7, | |
| "spatial_rank": 32, | |
| "n_random_features": 128, | |
| "dropout": 0.0, | |
| "pad_id": 0, | |
| "unk_id": 1, | |
| "bos_id": 2, | |
| "eos_id": 3, | |
| "qry_id": 4, | |
| "doc_id": 5, | |
| "sym_id": 6, | |
| "n_special_tokens": 7 | |
| } | |