baselabs/elephant-1
text-classification model by baselabs
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From the publisher
Model card & documentation
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elephant-1 is a 9B parameter decision model post-trained from Qwen3.5-9B by Base Labs at Baseten. Provide the model a state (text, optionally with images) and a set of questions and it will return a calibrated probability for every option, answering all questions from one shared-prefix prefill. On tested benchmarks: For tasks that need broader general knowledge, see the 27B sibling mammoth-1. elephant-1 is free for one week on Baseten Model APIs, with zero data retention on by default. The free week ends 10/27/26 at 11:59 PM PT. The endpoint accepts text and image…
Read the full model card ↗ · Preview checked 2026-10-30T23:44:10.336Z
Inside the original model card — Document outline
- elephant-1
- 🗒️ Model Details
- 🏃 How to use
- Baseten Model APIs
- Self-hosted
- 📊 Performance
- Jev Decision Index 0.4
- Artificial Analysis Decision Index (our replica)
- 🔧 Training (all details in the technical report)
- Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
baselabs/elephant-1 is a text-classification model repository published by baselabs on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 1,344
- Cumulative likes
- 75
- Hugging Face trending score
- 73
- Reported safetensors parameters
- 9,409,813,744
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-19T19:35:08.000Z
- Last modified
- 2026-10-22T18:40:27.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3.5-9B
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.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-28T06:46:49.966Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.