LazarusNLP/all-indo-e5-small-v4
sentence-similarity model by LazarusNLP
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search. Using this model becomes easy when you have sentence-transformers installed: Then you can use the model like this: Without sentence-transformers, you can use the model like this: First, you pass your input through the transformer model, then you have…
Read the full model card ↗ · Preview checked 2026-10-31T20:54:30.620Z
Inside the original model card — Document outline
- LazarusNLP/all-indo-e5-small-v4
- Usage (Sentence-Transformers)
- Usage (HuggingFace Transformers)
- Evaluation Results
- Training
- Full Model Architecture
- Citing & Authors
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
LazarusNLP/all-indo-e5-small-v4 is a sentence-similarity model repository published by LazarusNLP on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 123,584
- Cumulative likes
- 16
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 117,653,760
- Architecture
- BertModel
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2024-05-15T14:03:11.000Z
- Last modified
- 2026-01-21T00:57:56.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-29T06:51:47.940Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
sentence-transformers/all-MiniLM-L6-v2
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
sentence-transformers/all-mpnet-base-v2