| { |
| "id": "ALF-emb-micro-1.0", |
| "family": "ALF", |
| "track": "emb", |
| "tier": "micro", |
| "version": "1.0", |
| "description": "AtomicoLabs model family EN+ES embeddings. Vocab-pruned e5-large-instruct finetune, per-channel int8 ONNX.", |
| "files": { |
| "model": "model.onnx", |
| "tokenizer": "tokenizer.json", |
| "keep_ids": "keep_ids.npy", |
| "remap": "remap.py" |
| }, |
| "format": "onnx-int8-dynamic-per-channel", |
| "size_bytes": 371768932, |
| "params": 369999872, |
| "vocab_size": 64562, |
| "dim": 1024, |
| "max_length": 512, |
| "pooling": "mean", |
| "normalize": true, |
| "query_prefix": "Instruct: Given a web search query, retrieve relevant passages that answer the query\nQuery: ", |
| "doc_prefix": "", |
| "inputs": ["input_ids", "attention_mask"], |
| "output": "embedding", |
| "base": "intfloat/multilingual-e5-large-instruct", |
| "finetune": "e5l-560", |
| "scores": { |
| "bar": {"name": "openai-text-embedding-3-small", "composite": 80.08, "en": 59.74, "es": 79.52, "sts": 88.66, "domain": 92.39}, |
| "fp32": {"composite": 80.65, "en": 58.56, "es": 78.63, "sts": 88.97, "domain": 96.45}, |
| "int8": {"composite": 79.99, "en": 57.25, "es": 77.80, "sts": 89.07, "domain": 95.85, "cosine_parity": 0.984} |
| } |
| } |
|
|
