SAVRN Model Hub · Comparisons
bge-base-en-v1.5-course-recommender-v5 vs e5-base-v2
Bge-base-en-v1.5-course-recommender-v5 has 109M parameters and e5-base-v2 has 109M parameters; at 16-bit, bge-base-en-v1.5-course-recommender-v5 needs about 0.3 GB (1x MI300X from $1.85 an hour) and e5-base-v2 about 0.3 GB (1x MI300X from $1.85 an hour).
| Field | bge-base-en-v1.5-course-recommender-v5 datasocietyco/bge-base-en-v1.5-course-recommender-v5 | e5-base-v2 intfloat/e5-base-v2 |
|---|---|---|
| Publisher | Data Society | Liang Wang |
| Task | Sentence similarity | Sentence similarity |
| Modality | Text | Text |
| Parameters, as reported | 109M parameters | 109M parameters |
| Architecture | BertModel | BertModel |
| Library | sentence-transformers | sentence-transformers |
| Context length | 512 tokens | 512 tokens |
| Repository size | 438.9 MB | 2.2 GB |
| Artifact formats | safetensors | safetensors, onnx, openvino, pytorch |
| License | Not stated | mit |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.3 GB | 0.3 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.1 GB | 0.1 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 2b069eed51ce | f52bf8ec8c71 |
| Downloads reported by the hub | 3.9M | 890.2k |
| Last observed | 2026-10-13 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
Other Reported Results
These results are listed for each model on its own, because the conditions needed to compare them are not stated or do not match. Two results that leave a condition blank are not assumed to share it.
e5-base-v2
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 77.7761 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric apComparison conditions not established | 42.0527 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 72.1204 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 92.8101 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric apComparison conditions not established | 89.4214 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric f1Comparison conditions not established | 92.8039 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 46.712 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 46.1154 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1Comparison conditions not established | 23.186 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_10Comparison conditions not established | 36.633 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_100Comparison conditions not established | 37.842 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1000Comparison conditions not established | 37.865 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_3Comparison conditions not established | 32.278 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_5Comparison conditions not established | 34.761 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1Comparison conditions not established | 23.4 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_10Comparison conditions not established | 36.721 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_100Comparison conditions not established | 37.937 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1000Comparison conditions not established | 37.96 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_3Comparison conditions not established | 32.302 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_5Comparison conditions not established | 34.894 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1Comparison conditions not established | 23.186 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 44.49 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_100Comparison conditions not established | 50.065 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1000Comparison conditions not established | 50.63 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_3Comparison conditions not established | 35.461 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_5Comparison conditions not established | 39.969 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1Comparison conditions not established | 23.186 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_10Comparison conditions not established | 6.97 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_100Comparison conditions not established | 0.951 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1000Comparison conditions not established | 0.099 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_3Comparison conditions not established | 14.912 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_5Comparison conditions not established | 11.152 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1Comparison conditions not established | 23.186 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_10Comparison conditions not established | 69.701 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_100Comparison conditions not established | 95.092 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1000Comparison conditions not established | 99.431 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_3Comparison conditions not established | 44.737 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_5Comparison conditions not established | 55.761 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 46.1031 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 39.6728 | intfloat Publisher reported |
Evaluated revision not stated | — |
SAVRN's Notes on bge-base-en-v1.5-course-recommender-v5
The name is the use case: Data Society's fine-tune of BAAI/bge-base-en-v1.5 aimed at course recommendation, turning each input into a 768-dimensional vector for similarity search. The arithmetic is trivial — 109M parameters, 0.3 GB at 16-bit, 0.1 GB at 4-bit, a 438 MB download — so the one MI300X the Index lists at $1.85 an hour is wasted on it alone; run it beside your serving stack. The 512-token context still applies, so long course descriptions get chunked before embedding.
Treat the license as the gating item: the record lists none for this fine-tune, which makes commercial use a conversation with the publisher, not a checkbox. The disclosed training is a light touch — 24 steps at batch size 16, learning rate 3e-06 — so validate the delta against the base on your own catalog before shipping; a fine-tune this small can be a wash. Published January 2025 under sentence-transformers, derived from bge-base-en-v1.5, and drawing 4.1M downloads a month.
SAVRN's Notes on e5-base-v2
Every passage this embedding model sees is capped at 512 tokens, so chunking comes before hardware. Liang Wang published it as a 109 million parameter BertModel with 12 layers and a 768-wide embedding, built for sentence similarity; it runs in 0.3 GB of memory at 16-bit and 0.1 GB at 8-bit. The cheapest setup on our Index is one MI300X with 192 GB at $1.85 per hour, so the card is bought for throughput, not weights. The 2.19 GB download across 24 files carries four formats, safetensors, ONNX, OpenVINO and PyTorch, so load one.
MIT terms allow commercial use, modification and redistribution with the notices kept, so an index built on it can ship inside a product. Note that the benchmark results in the file are publisher reported, such as 92.81 accuracy on MTEB AmazonPolarityClassification, and the method sits in arXiv:2212.03533; test retrieval on your own corpus.
Questions
Which is larger, bge-base-en-v1.5-course-recommender-v5 or e5-base-v2?
e5-base-v2 (109M parameters) is larger than bge-base-en-v1.5-course-recommender-v5 (109M parameters), by the parameter counts their publishers report.
Which is cheaper to run, bge-base-en-v1.5-course-recommender-v5 or e5-base-v2?
At 4-bit, bge-base-en-v1.5-course-recommender-v5 fits on 1x MI300X from $1.85 an hour and e5-base-v2 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use e5-base-v2 commercially?
Yes. e5-base-v2 is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.