SAVRN Model Hub · Comparisons
bge-base-en-v1.5-course-recommender-v5 vs e5-base
Bge-base-en-v1.5-course-recommender-v5 has 109M parameters and e5-base 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 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 intfloat/e5-base |
|---|---|---|
| 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 | 876.7 MB |
| Artifact formats | safetensors | safetensors, 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 | b533fe4636f4 |
| Downloads reported by the hub | 4M | 706k |
| Last observed | 2026-10-14 | 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
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 79.7164 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric apComparison conditions not established | 44.1543 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonCounterfactualClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 73.8947 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric accuracyComparison conditions not established | 87.9649 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric apComparison conditions not established | 84.1017 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonPolarityClassification | Configuration defaultTask ClassificationMetric f1Comparison conditions not established | 87.9415 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric accuracyComparison conditions not established | 42.646 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB AmazonReviewsClassification (en) | Configuration enTask ClassificationMetric f1Comparison conditions not established | 42.2306 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1Comparison conditions not established | 26.814 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_10Comparison conditions not established | 42.682 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_100Comparison conditions not established | 43.714 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_1000Comparison conditions not established | 43.724 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_3Comparison conditions not established | 38.11 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric map_at_5Comparison conditions not established | 40.667 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1Comparison conditions not established | 27.169 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_10Comparison conditions not established | 42.84 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_100Comparison conditions not established | 43.864 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_1000Comparison conditions not established | 43.875 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_3Comparison conditions not established | 38.193 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric mrr_at_5Comparison conditions not established | 40.793 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1Comparison conditions not established | 26.814 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_10Comparison conditions not established | 51.411 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_100Comparison conditions not established | 55.713 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_1000Comparison conditions not established | 55.957 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_3Comparison conditions not established | 41.955 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric ndcg_at_5Comparison conditions not established | 46.558 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1Comparison conditions not established | 26.814 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_10Comparison conditions not established | 7.923 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_100Comparison conditions not established | 0.978 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_1000Comparison conditions not established | 0.1 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_3Comparison conditions not established | 17.71 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric precision_at_5Comparison conditions not established | 12.859 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1Comparison conditions not established | 26.814 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_10Comparison conditions not established | 79.232 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_100Comparison conditions not established | 97.795 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_1000Comparison conditions not established | 99.644 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_3Comparison conditions not established | 53.129 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArguAna | Configuration defaultTask RetrievalMetric recall_at_5Comparison conditions not established | 64.296 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringP2P | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 44.5693 | intfloat Publisher reported |
Evaluated revision not stated | — |
| MTEB ArxivClusteringS2S | Configuration defaultTask ClusteringMetric v_measureComparison conditions not established | 40.4765 | 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
The question with a 109M-parameter embedding model is not whether it fits but what else shares the card. At 16-bit the weights are 0.2 GB and the working footprint 0.3 GB; at 8-bit and 4-bit both figures round to 0.1 GB. The cheapest setup we price is still one MI300X with 192 GB at $1.85 per hour on-demand, so park it beside a generation model and let it turn sentences into vectors for similarity search. The 512-token context sets the chunk size for anything you index.
MIT is as short as a license gets: commercial use, modification and redistribution are permitted provided the copyright and permission notices ride along. Note the publisher's card points readers to e5-base-v2 as of May 2023, so confirm you want this revision rather than its successor. The listed papers are arXiv:2212.03533 on weakly supervised contrastive pre-training, plus the BEIR and MTEB benchmark papers.
Questions
Which is larger, bge-base-en-v1.5-course-recommender-v5 or e5-base?
e5-base (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?
At 4-bit, bge-base-en-v1.5-course-recommender-v5 fits on 1x MI300X from $1.85 an hour and e5-base on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use e5-base commercially?
Yes. e5-base 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.