Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Remove unused models from supported_onnx_models #120

Closed
wants to merge 1 commit into from
Closed

Remove unused models from supported_onnx_models #120

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
146 changes: 50 additions & 96 deletions docs/examples/Supported_Models.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,15 +1,5 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": 4,
Expand Down Expand Up @@ -46,94 +36,70 @@
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>BAAI/bge-base-en</td>\n",
" <td>768</td>\n",
" <td>Base English model</td>\n",
" <td>0.50</td>\n",
" <td>{'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en.tar.gz'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>BAAI/bge-base-en-v1.5</td>\n",
" <td>768</td>\n",
" <td>Base English model, v1.5</td>\n",
" <td>0.44</td>\n",
" <td>{'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en-v1.5.tar.gz', 'hf': 'qdrant/bge-base-en-v1.5-onnx-q'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>BAAI/bge-large-en-v1.5-quantized</td>\n",
" <td>1024</td>\n",
" <td>Large English model, v1.5</td>\n",
" <td>1.34</td>\n",
" <td>{'hf': 'qdrant/bge-large-en-v1.5-onnx-q'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <th>1</th>\n",
" <td>BAAI/bge-large-en-v1.5</td>\n",
" <td>1024</td>\n",
" <td>Large English model, v1.5</td>\n",
" <td>1.34</td>\n",
" <td>{'hf': 'qdrant/bge-large-en-v1.5-onnx'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>BAAI/bge-small-en</td>\n",
" <td>384</td>\n",
" <td>Fast English model</td>\n",
" <td>0.20</td>\n",
" <td>{'url': 'https://storage.googleapis.com/qdrant-fastembed/BAAI-bge-small-en.tar.gz'}</td>\n",
" <td>{'hf': 'qdrant/bge-large-en-v1.5-onnx-q'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <th>2</th>\n",
" <td>BAAI/bge-small-en-v1.5</td>\n",
" <td>384</td>\n",
" <td>Fast and Default English model</td>\n",
" <td>0.13</td>\n",
" <td>{'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-en-v1.5.tar.gz', 'hf': 'qdrant/bge-small-en-v1.5-onnx-q'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <th>3</th>\n",
" <td>BAAI/bge-small-zh-v1.5</td>\n",
" <td>512</td>\n",
" <td>Fast and recommended Chinese model</td>\n",
" <td>0.10</td>\n",
" <td>{'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-zh-v1.5.tar.gz'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <th>4</th>\n",
" <td>sentence-transformers/all-MiniLM-L6-v2</td>\n",
" <td>384</td>\n",
" <td>Sentence Transformer model, MiniLM-L6-v2</td>\n",
" <td>0.09</td>\n",
" <td>{'url': 'https://storage.googleapis.com/qdrant-fastembed/sentence-transformers-all-MiniLM-L6-v2.tar.gz', 'hf': 'qdrant/all-MiniLM-L6-v2-onnx'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <th>5</th>\n",
" <td>intfloat/multilingual-e5-large</td>\n",
" <td>1024</td>\n",
" <td>Multilingual model, e5-large. Recommend using this model for non-English languages</td>\n",
" <td>2.24</td>\n",
" <td>{'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-multilingual-e5-large.tar.gz', 'hf': 'qdrant/multilingual-e5-large-onnx'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <th>6</th>\n",
" <td>sentence-transformers/paraphrase-multilingual-mpnet-base-v2</td>\n",
" <td>768</td>\n",
" <td>Sentence-transformers model for tasks like clustering or semantic search</td>\n",
" <td>1.11</td>\n",
" <td>{'hf': 'xenova/paraphrase-multilingual-mpnet-base-v2'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <th>7</th>\n",
" <td>jinaai/jina-embeddings-v2-base-en</td>\n",
" <td>768</td>\n",
" <td>English embedding model supporting 8192 sequence length</td>\n",
" <td>0.55</td>\n",
" <td>{'hf': 'xenova/jina-embeddings-v2-base-en'}</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <th>8</th>\n",
" <td>jinaai/jina-embeddings-v2-small-en</td>\n",
" <td>512</td>\n",
" <td>English embedding model supporting 8192 sequence length</td>\n",
Expand All @@ -145,61 +111,49 @@
"</div>"
],
"text/plain": [
" model dim \\\n",
"0 BAAI/bge-base-en 768 \n",
"1 BAAI/bge-base-en-v1.5 768 \n",
"2 BAAI/bge-large-en-v1.5-quantized 1024 \n",
"3 BAAI/bge-large-en-v1.5 1024 \n",
"4 BAAI/bge-small-en 384 \n",
"5 BAAI/bge-small-en-v1.5 384 \n",
"6 BAAI/bge-small-zh-v1.5 512 \n",
"7 sentence-transformers/all-MiniLM-L6-v2 384 \n",
"8 intfloat/multilingual-e5-large 1024 \n",
"9 sentence-transformers/paraphrase-multilingual-mpnet-base-v2 768 \n",
"10 jinaai/jina-embeddings-v2-base-en 768 \n",
"11 jinaai/jina-embeddings-v2-small-en 512 \n",
" model dim \\\n",
"0 BAAI/bge-base-en-v1.5 768 \n",
"1 BAAI/bge-large-en-v1.5 1024 \n",
"2 BAAI/bge-small-en-v1.5 384 \n",
"3 BAAI/bge-small-zh-v1.5 512 \n",
"4 sentence-transformers/all-MiniLM-L6-v2 384 \n",
"5 intfloat/multilingual-e5-large 1024 \n",
"6 sentence-transformers/paraphrase-multilingual-mpnet-base-v2 768 \n",
"7 jinaai/jina-embeddings-v2-base-en 768 \n",
"8 jinaai/jina-embeddings-v2-small-en 512 \n",
"\n",
" description \\\n",
"0 Base English model \n",
"1 Base English model, v1.5 \n",
"2 Large English model, v1.5 \n",
"3 Large English model, v1.5 \n",
"4 Fast English model \n",
"5 Fast and Default English model \n",
"6 Fast and recommended Chinese model \n",
"7 Sentence Transformer model, MiniLM-L6-v2 \n",
"8 Multilingual model, e5-large. Recommend using this model for non-English languages \n",
"9 Sentence-transformers model for tasks like clustering or semantic search \n",
"10 English embedding model supporting 8192 sequence length \n",
"11 English embedding model supporting 8192 sequence length \n",
" description \\\n",
"0 Base English model, v1.5 \n",
"1 Large English model, v1.5 \n",
"2 Fast and Default English model \n",
"3 Fast and recommended Chinese model \n",
"4 Sentence Transformer model, MiniLM-L6-v2 \n",
"5 Multilingual model, e5-large. Recommend using this model for non-English languages \n",
"6 Sentence-transformers model for tasks like clustering or semantic search \n",
"7 English embedding model supporting 8192 sequence length \n",
"8 English embedding model supporting 8192 sequence length \n",
"\n",
" size_in_GB \\\n",
"0 0.50 \n",
"1 0.44 \n",
"2 1.34 \n",
"3 1.34 \n",
"4 0.20 \n",
"5 0.13 \n",
"6 0.10 \n",
"7 0.09 \n",
"8 2.24 \n",
"9 1.11 \n",
"10 0.55 \n",
"11 0.13 \n",
" size_in_GB \\\n",
"0 0.44 \n",
"1 1.34 \n",
"2 0.13 \n",
"3 0.10 \n",
"4 0.09 \n",
"5 2.24 \n",
"6 1.11 \n",
"7 0.55 \n",
"8 0.13 \n",
"\n",
" sources \n",
"0 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en.tar.gz'} \n",
"1 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en-v1.5.tar.gz', 'hf': 'qdrant/bge-base-en-v1.5-onnx-q'} \n",
"2 {'hf': 'qdrant/bge-large-en-v1.5-onnx-q'} \n",
"3 {'hf': 'qdrant/bge-large-en-v1.5-onnx'} \n",
"4 {'url': 'https://storage.googleapis.com/qdrant-fastembed/BAAI-bge-small-en.tar.gz'} \n",
"5 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-en-v1.5.tar.gz', 'hf': 'qdrant/bge-small-en-v1.5-onnx-q'} \n",
"6 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-zh-v1.5.tar.gz'} \n",
"7 {'url': 'https://storage.googleapis.com/qdrant-fastembed/sentence-transformers-all-MiniLM-L6-v2.tar.gz', 'hf': 'qdrant/all-MiniLM-L6-v2-onnx'} \n",
"8 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-multilingual-e5-large.tar.gz', 'hf': 'qdrant/multilingual-e5-large-onnx'} \n",
"9 {'hf': 'xenova/paraphrase-multilingual-mpnet-base-v2'} \n",
"10 {'hf': 'xenova/jina-embeddings-v2-base-en'} \n",
"11 {'hf': 'xenova/jina-embeddings-v2-small-en'} "
" sources \n",
"0 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en-v1.5.tar.gz', 'hf': 'qdrant/bge-base-en-v1.5-onnx-q'} \n",
"1 {'hf': 'qdrant/bge-large-en-v1.5-onnx-q'} \n",
"2 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-en-v1.5.tar.gz', 'hf': 'qdrant/bge-small-en-v1.5-onnx-q'} \n",
"3 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-zh-v1.5.tar.gz'} \n",
"4 {'url': 'https://storage.googleapis.com/qdrant-fastembed/sentence-transformers-all-MiniLM-L6-v2.tar.gz', 'hf': 'qdrant/all-MiniLM-L6-v2-onnx'} \n",
"5 {'url': 'https://storage.googleapis.com/qdrant-fastembed/fast-multilingual-e5-large.tar.gz', 'hf': 'qdrant/multilingual-e5-large-onnx'} \n",
"6 {'hf': 'xenova/paraphrase-multilingual-mpnet-base-v2'} \n",
"7 {'hf': 'xenova/jina-embeddings-v2-base-en'} \n",
"8 {'hf': 'xenova/jina-embeddings-v2-small-en'} "
]
},
"execution_count": 4,
Expand Down Expand Up @@ -232,7 +186,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
"version": "3.10.13"
},
"orig_nbformat": 4
},
Expand Down
55 changes: 2 additions & 53 deletions fastembed/text/onnx_embedding.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
import os
from multiprocessing import get_all_start_methods
from typing import List, Dict, Any, Tuple, Union, Iterable, Type
from typing import Any, Dict, Iterable, List, Tuple, Type, Union

import numpy as np
import onnxruntime as ort
Expand All @@ -12,15 +12,6 @@
from fastembed.text.text_embedding_base import TextEmbeddingBase

supported_onnx_models = [
{
"model": "BAAI/bge-base-en",
"dim": 768,
"description": "Base English model",
"size_in_GB": 0.5,
"sources": {
"url": "https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en.tar.gz",
},
},
{
"model": "BAAI/bge-base-en-v1.5",
"dim": 768,
Expand All @@ -31,44 +22,15 @@
"hf": "qdrant/bge-base-en-v1.5-onnx-q",
},
},
{
"model": "BAAI/bge-large-en-v1.5-quantized",
"dim": 1024,
"description": "Large English model, v1.5",
"size_in_GB": 1.34,
"sources": {
"hf": "qdrant/bge-large-en-v1.5-onnx-q",
},
},
{
"model": "BAAI/bge-large-en-v1.5",
"dim": 1024,
"description": "Large English model, v1.5",
"size_in_GB": 1.34,
"sources": {
"hf": "qdrant/bge-large-en-v1.5-onnx",
},
},
{
"model": "BAAI/bge-small-en",
"dim": 384,
"description": "Fast English model",
"size_in_GB": 0.2,
"sources": {
"url": "https://storage.googleapis.com/qdrant-fastembed/BAAI-bge-small-en.tar.gz",
"hf": "qdrant/bge-large-en-v1.5-onnx-q",
},
},
# {
# "model": "BAAI/bge-small-en",
# "dim": 384,
# "description": "Fast English model",
# "size_in_GB": 0.2,
# "hf_sources": [],
# "compressed_url_sources": [
# "https://storage.googleapis.com/qdrant-fastembed/fast-bge-small-en.tar.gz",
# "https://storage.googleapis.com/qdrant-fastembed/BAAI-bge-small-en.tar.gz"
# ]
# },
{
"model": "BAAI/bge-small-en-v1.5",
"dim": 384,
Expand Down Expand Up @@ -98,19 +60,6 @@
"hf": "qdrant/all-MiniLM-L6-v2-onnx",
},
},
# {
# "model": "sentence-transformers/all-MiniLM-L6-v2",
# "dim": 384,
# "description": "Sentence Transformer model, MiniLM-L6-v2",
# "size_in_GB": 0.09,
# "hf_sources": [
# "qdrant/all-MiniLM-L6-v2-onnx"
# ],
# "compressed_url_sources": [
# "https://storage.googleapis.com/qdrant-fastembed/fast-all-MiniLM-L6-v2.tar.gz",
# "https://storage.googleapis.com/qdrant-fastembed/sentence-transformers-all-MiniLM-L6-v2.tar.gz"
# ]
# }
]


Expand Down
2 changes: 0 additions & 2 deletions tests/test_onnx_embeddings.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,10 +6,8 @@
from fastembed.embedding import DefaultEmbedding, JinaEmbedding

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-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]),
"BAAI/bge-large-en-v1.5": np.array([0.03434538, 0.03316108, 0.02191251, -0.03713358, -0.01577825]),
"sentence-transformers/all-MiniLM-L6-v2": np.array([0.0259, 0.0058, 0.0114, 0.0380, -0.0233]),
Expand Down
3 changes: 0 additions & 3 deletions tests/test_text_onnx_embeddings.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,13 +6,10 @@
from fastembed.text.text_embedding import TextEmbedding

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-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]),
"BAAI/bge-large-en-v1.5": np.array([0.03434538, 0.03316108, 0.02191251, -0.03713358, -0.01577825]),
"BAAI/bge-large-en-v1.5-quantized": np.array([0.03434538, 0.03316108, 0.02191251, -0.03713358, -0.01577825]),
"sentence-transformers/all-MiniLM-L6-v2": np.array([0.0259, 0.0058, 0.0114, 0.0380, -0.0233]),
"intfloat/multilingual-e5-large": np.array([0.0098, 0.0045, 0.0066, -0.0354, 0.0070]),
"sentence-transformers/paraphrase-multilingual-mpnet-base-v2": np.array(
Expand Down
Loading