Add perplexity-ai/pplx-embed-v1-late-0.6b model meta#4813
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Closes embeddings-benchmark#4691. Adds the ModelMeta entry for perplexity-ai/pplx-embed-v1-late-0.6b, a PyLate/ColBERT late-interaction (MaxSim) embedding model with 128-dim token-level vectors, continued-trained from perplexity-ai/pplx-embed-v1-0.6b. Metadata sourced from the HF model card/API and config files (revision, MIT license, 128-dim projection, 512 document length, ~596M params).
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Technical audit: Implementation verified for architectural consistency and engineering integrity.
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Can you run BEIR to reproduce resultls? Would be greate to have review from @bwang-pplx |
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Summary
Closes #4691.
Adds the
ModelMetaentry forperplexity-ai/pplx-embed-v1-late-0.6btomteb/models/model_implementations/pylate_models.py.It is a PyLate / ColBERT late-interaction (MaxSim) retrieval model —
continued training of
perplexity-ai/pplx-embed-v1-0.6bwith a token-level128-dim projection. It loads through the same
MultiVectorModelloader as theother ColBERT entries (with
trust_remote_code=True, since the repo shipscustom modeling code).
Metadata sources (model card / HF API / config)
35e14f7c0f85720323342965e72f119dc1a937c0(currentmain)mit, n_parameters595,778,560(safetensors total)128(1_Dense/config.jsonout_features, confirmed in the card)512(document_lengthinconfig_sentence_transformers.json)perplexity-ai/pplx-embed-v1-0.6b(HFbase_model)None: the base model card only states "multilingual"without enumerating language codes (consistent with other entries that omit
a language list rather than guessing).
Verification
ruff check/ruff format --check: cleanpytest tests/test_models/test_model_meta.py -k "name_and_revision or hashable or without_prefix": 731 passed