Add model_max_length (32768) to YAML and Model Details section
#7
by dilawarm - opened
README.md
CHANGED
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- stem
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- medical
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library_name: sentence-transformers
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---
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<img src="https://i.imgur.com/oxvhvQu.png"/>
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This model is released under a non-commercial license. If you'd like a commercial license, please contact us at contact@zeroentropy.dev.
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## How to Use
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```python
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scores = model.predict(query_documents)
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print(scores)
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```
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@@ -51,15 +60,15 @@ The model can also be inferenced using ZeroEntropy's [/models/rerank](https://do
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NDCG@10 scores between `zerank-2` and competing closed-source proprietary rerankers. Since we are evaluating rerankers, OpenAI's `text-embedding-3-small` is used as an initial retriever for the Top 100 candidate documents.
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| Domain
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|------------------|-------------------|----------------------|----------------------|-----------------------------|-------------------|
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| Web
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| Conversational
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| STEM & Logic
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| Code
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| Legal
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| Biomedical
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| Finance
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| **Average**
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- stem
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- medical
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library_name: sentence-transformers
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model_max_length: 32768
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---
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<img src="https://i.imgur.com/oxvhvQu.png"/>
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This model is released under a non-commercial license. If you'd like a commercial license, please contact us at contact@zeroentropy.dev.
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## Model Details
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| Property | Value |
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|---|---|
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| Parameters | 4B |
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| Context Length | 32,768 tokens (32k) |
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| Base Model | Qwen/Qwen3-4B |
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| License | CC-BY-NC-4.0 |
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## How to Use
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```python
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]
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scores = model.predict(query_documents)
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print(scores)
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```
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NDCG@10 scores between `zerank-2` and competing closed-source proprietary rerankers. Since we are evaluating rerankers, OpenAI's `text-embedding-3-small` is used as an initial retriever for the Top 100 candidate documents.
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| Domain | OpenAI embeddings | ZeroEntropy zerank-2 | ZeroEntropy zerank-1 | Gemini 2.5 Flash (Listwise) | Cohere rerank-3.5 |
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|------------------|-------------------|----------------------|----------------------|-----------------------------|-------------------|
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| Web | 0.3819 | **0.6346** | 0.6069 | 0.5765 | 0.5594 |
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| Conversational | 0.4305 | **0.6140** | 0.5801 | 0.6021 | 0.5648 |
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| STEM & Logic | 0.3744 | **0.6521** | 0.6283 | 0.5447 | 0.5418 |
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| Code | 0.4582 | **0.6528** | 0.6310 | 0.6128 | 0.5364 |
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| Legal | 0.4101 | **0.6644** | 0.6222 | 0.5565 | 0.5257 |
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| Biomedical | 0.4783 | **0.7217** | 0.6967 | 0.5371 | 0.6246 |
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| Finance | 0.6232 | 0.7600 | 0.7539 | **0.7694** | 0.7402 |
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| **Average** | **0.4509** | **0.6714** | **0.6456** | **0.5999** | **0.5847** |
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Graph showing the same table
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