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fix: fix model sizes in supported models lists #167

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merged 6 commits into from
Apr 1, 2024
Merged

fix: fix model sizes in supported models lists #167

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2e27448
fix: fix model sizes in supported models lists
joein Mar 29, 2024
7147817
fix: remove redundant comment
joein Mar 29, 2024
60ed079
fix: fix test
joein Mar 29, 2024
9cb724e
fix: update supported models notebook
joein Mar 30, 2024
fd8ae65
Merge branch 'main' into fix-model-info
NirantK Apr 1, 2024
985ad20
Consistentcy around quantization in supported_onnx_models
NirantK Apr 1, 2024
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2 changes: 1 addition & 1 deletion fastembed/text/e5_onnx_embedding.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@
"model": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2",
"dim": 768,
"description": "Sentence-transformers model for tasks like clustering or semantic search",
"size_in_GB": 1.11,
"size_in_GB": 1.00,
"sources": {
"hf": "xenova/paraphrase-multilingual-mpnet-base-v2",
},
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4 changes: 2 additions & 2 deletions fastembed/text/jina_onnx_embedding.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,14 +11,14 @@
"model": "jinaai/jina-embeddings-v2-base-en",
"dim": 768,
"description": "English embedding model supporting 8192 sequence length",
"size_in_GB": 0.55,
"size_in_GB": 0.52,
"sources": {"hf": "xenova/jina-embeddings-v2-base-en"},
},
{
"model": "jinaai/jina-embeddings-v2-small-en",
"dim": 512,
"description": "English embedding model supporting 8192 sequence length",
"size_in_GB": 0.13,
"size_in_GB": 0.12,
"sources": {"hf": "xenova/jina-embeddings-v2-small-en"},
},
]
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32 changes: 20 additions & 12 deletions fastembed/text/onnx_embedding.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@
"model": "BAAI/bge-base-en",
"dim": 768,
"description": "Base English model",
"size_in_GB": 0.5,
"size_in_GB": 0.42,
"sources": {
"url": "https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en.tar.gz",
},
Expand All @@ -21,7 +21,7 @@
"model": "BAAI/bge-base-en-v1.5",
"dim": 768,
"description": "Base English model, v1.5",
"size_in_GB": 0.44,
"size_in_GB": 0.21,
"sources": {
"url": "https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en-v1.5.tar.gz",
"hf": "qdrant/bge-base-en-v1.5-onnx-q",
Expand All @@ -31,7 +31,7 @@
"model": "BAAI/bge-large-en-v1.5-quantized",
"dim": 1024,
"description": "Large English model, v1.5",
"size_in_GB": 1.34,
"size_in_GB": 0.64,
"sources": {
"hf": "qdrant/bge-large-en-v1.5-onnx-q",
},
Expand All @@ -40,7 +40,7 @@
"model": "BAAI/bge-large-en-v1.5",
"dim": 1024,
"description": "Large English model, v1.5",
"size_in_GB": 1.34,
"size_in_GB": 1.20,
"sources": {
"hf": "qdrant/bge-large-en-v1.5-onnx",
},
Expand All @@ -49,7 +49,7 @@
"model": "BAAI/bge-small-en",
"dim": 384,
"description": "Fast English model",
"size_in_GB": 0.2,
"size_in_GB": 0.13,
"sources": {
"url": "https://storage.googleapis.com/qdrant-fastembed/BAAI-bge-small-en.tar.gz",
},
Expand All @@ -72,19 +72,27 @@
"size_in_GB": 0.13,
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I believe this should be adjusted since the quantized model is 2 times smaller

"sources": {
"url": "https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-en-v1.5.tar.gz",
},
},
{
"model": "BAAI/bge-small-en-v1.5-quantized",
"dim": 384,
"description": "Fast English model",
"size_in_GB": 0.06,
"sources": {
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"hf": "qdrant/bge-small-en-v1.5-onnx-q",
},
},
{
"model": "BAAI/bge-small-zh-v1.5",
"dim": 512,
"description": "Fast and recommended Chinese model",
"size_in_GB": 0.1,
"size_in_GB": 0.09,
"sources": {
"url": "https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-zh-v1.5.tar.gz",
},
},
{ # todo: it is not a flag embedding
{
"model": "sentence-transformers/all-MiniLM-L6-v2",
"dim": 384,
"description": "Sentence Transformer model, MiniLM-L6-v2",
Expand All @@ -98,7 +106,7 @@
"model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
"dim": 384,
"description": "Sentence Transformer model, paraphrase-multilingual-MiniLM-L12-v2",
"size_in_GB": 0.46,
"size_in_GB": 0.22,
"sources": {
"hf": "qdrant/paraphrase-multilingual-MiniLM-L12-v2-onnx-Q",
},
Expand All @@ -107,7 +115,7 @@
"model": "nomic-ai/nomic-embed-text-v1",
"dim": 768,
"description": "8192 context length english model",
"size_in_GB": 0.54,
"size_in_GB": 0.52,
"sources": {
"hf": "nomic-ai/nomic-embed-text-v1",
},
Expand All @@ -116,7 +124,7 @@
"model": "nomic-ai/nomic-embed-text-v1.5",
"dim": 768,
"description": "8192 context length english model",
"size_in_GB": 0.54,
"size_in_GB": 0.52,
"sources": {
"hf": "nomic-ai/nomic-embed-text-v1.5",
},
Expand All @@ -125,7 +133,7 @@
"model": "thenlper/gte-large",
"dim": 1024,
"description": "Large general text embeddings model",
"size_in_GB": 1.34,
"size_in_GB": 1.20,
"sources": {
"hf": "qdrant/gte-large-onnx",
},
Expand All @@ -147,7 +155,7 @@
"model": "mixedbread-ai/mxbai-embed-large-v1",
"dim": 1024,
"description": "MixedBread Base sentence embedding model, does well on MTEB",
"size_in_GB": 1.34,
"size_in_GB": 0.64,
"sources": {
"hf": "mixedbread-ai/mxbai-embed-large-v1",
},
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1 change: 1 addition & 0 deletions tests/test_text_onnx_embeddings.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
CANONICAL_VECTOR_VALUES = {
"BAAI/bge-small-en": np.array([-0.0232, -0.0255, 0.0174, -0.0639, -0.0006]),
"BAAI/bge-small-en-v1.5": np.array([0.01522374, -0.02271799, 0.00860278, -0.07424029, 0.00386434]),
"BAAI/bge-small-en-v1.5-quantized": np.array([0.01522374, -0.02271799, 0.00860278, -0.07424029, 0.00386434]),
"BAAI/bge-small-zh-v1.5": np.array([-0.01023294, 0.07634465, 0.0691722, -0.04458365, -0.03160762]),
"BAAI/bge-base-en": np.array([0.0115, 0.0372, 0.0295, 0.0121, 0.0346]),
"BAAI/bge-base-en-v1.5": np.array([0.01129394, 0.05493144, 0.02615099, 0.00328772, 0.02996045]),
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