SAVRN Model Hub · Comparisons
bge-reranker-v2-m3 vs Prompt-Guard-86M
Bge-reranker-v2-m3 has 568M parameters and Prompt-Guard-86M has 279M parameters; bge-reranker-v2-m3 is released under Apache License 2.0 and Prompt-Guard-86M under Meta Llama 3.1 Community License; at 16-bit, bge-reranker-v2-m3 needs about 1.4 GB (1x MI300X from $1.85 an hour) and Prompt-Guard-86M about 0.7 GB (1x MI300X from $1.85 an hour).
| Field | bge-reranker-v2-m3 BAAI/bge-reranker-v2-m3 | Prompt-Guard-86M meta-llama/Prompt-Guard-86M |
|---|---|---|
| Publisher | Beijing Academy of Artificial Intelligence | Meta Llama |
| Task | Text classification | Text classification |
| Modality | Text | Text |
| Parameters, as reported | 568M parameters | 279M parameters |
| Architecture | XLMRobertaForSequenceClassification | DebertaV2ForSequenceClassification |
| Library | sentence-transformers | transformers |
| Context length | 8,194 tokens | Not stated |
| Repository size | 2.3 GB | 1.1 GB |
| Artifact formats | safetensors | safetensors, pytorch |
| License | apache-2.0 | llama3.1 |
| Access | Open weights, no gate | Access requested at publisher |
| Memory at 16-bit (weights and margin) | 1.4 GB | 0.7 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.3 GB | 0.2 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 953dc6f6f85a | 1209add6ca7d |
| Downloads reported by the hub | 17.7M | 4.5M |
| Last observed | 2026-09-18 | 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.
SAVRN's Notes on bge-reranker-v2-m3
Feed it a query and a passage and it returns one relevance score, mapped by a sigmoid into the 0 to 1 range. That is the job of this 568M-parameter reranker from the Beijing Academy of Artificial Intelligence: it scores pairs instead of producing embeddings, so it belongs behind whatever retrieval step supplies the candidates. At 16-bit the weights take 1.1 GB and the run needs 1.4 GB, against a cheapest listed setup of one MI300X with 192 GB at $1.85 an hour. Nobody dedicates that card to 1.4 GB; the figure says it rides on whatever accelerator hosts your generator.
Apache 2.0 permits commercial use, modification and redistribution provided the notices and NOTICE file travel with it and significant changes are stated. Check that 8,194 tokens covers query plus passage together, and that no host on the SAVRN Index prices it per token, so you run it yourself.
SAVRN's Notes on Prompt-Guard-86M
Nothing here generates a reply. It sits in front of the model that does and flags the two attack types Meta names, prompt injection and jailbreaks. Loaded at 16-bit it wants 0.7 GB of memory for 0.6 GB of weights, under half a percent of the cheapest Index setup, a single MI300X with 192 GB at $1.85 an hour on-demand. Co-locate it with the model it protects and the memory is noise.
Read the license closely. The Llama 3.1 Community License allows commercial use, but a licensee whose products had more than 700 million monthly active users on the release date must request a license from Meta, attribution is required, and Meta's Acceptable Use Policy applies. Access is gated; plan for the wait. The name says 86M while the file counts 279 million parameters, and no evaluations are reported, so you measure it on your own traffic before trusting it.
Questions
Which is larger, bge-reranker-v2-m3 or Prompt-Guard-86M?
bge-reranker-v2-m3 (568M parameters) is larger than Prompt-Guard-86M (279M parameters), by the parameter counts their publishers report.
Which is cheaper to run, bge-reranker-v2-m3 or Prompt-Guard-86M?
At 4-bit, bge-reranker-v2-m3 fits on 1x MI300X from $1.85 an hour and Prompt-Guard-86M on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use bge-reranker-v2-m3 commercially?
Yes. bge-reranker-v2-m3 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
Can I use Prompt-Guard-86M commercially?
Yes, with conditions. Prompt-Guard-86M is released under Meta Llama 3.1 Community License. The Llama 3.1 Community License permits commercial use, except that a licensee whose products had more than 700 million monthly active users on the release date must request a license from Meta. It requires attribution as the license specifies and compliance with Meta's Acceptable Use Policy.