InternScience/Sage-A1.5
text-generation model by InternScience
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.
Sage‑A1.5 is a 35B Mixture‑of‑Experts agentic model based on Qwen3.6 and Agents-A1 from Shanghai AI Laboratory, built to advance long-horizon scientific problem solving through adaptive capability composition. Building upon A1, Sage‑A1.5 learns not only to solve individual tasks, but also to organize work and revise its approach during execution, highlighting three key capabilities: Agentic Orchestration, Verification, and Open Scientific Discovery. First, agentic orchestration extends single-agent execution through task delegation and parallel collaboration among subagents with isolated contexts, enabling complex tasks to be decomposed and addressed concurrently while reducing interference across concurrent subagents. Second, agentic verification strengthens long-horizon reliability through progress checking, evidence validation, and reflective strategy revision, allowing Sage‑A1.5 to recognize unproductive search paths and pursue alternative approaches. Third, open scientific discovery extends agentic capabilities beyond answering predefined questions to conducting exploratory research, connecting scientific inquiry with interactive analysis and inspectable research artifacts. We hope Sage‑A1.5 provides the community with…
Read the full model card ↗ · Preview checked 2026-10-31T15:28:23.176Z
Inside the original model card — Document outline
- Sage-A1.5
- Highlights
- Performance
- Usage
- SGLang
- For ultra long context:
- vLLM
- For ultra long context:
- Advanced Modes
- Agentic Orchestration
- Verification Mode
- Recommended Sampling Parameters
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
InternScience/Sage-A1.5 is a text-generation model repository published by InternScience 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-generation
- Library
- transformers
- Recent downloads (30 days)
- 12,061
- Cumulative likes
- 385
- Hugging Face trending score
- 84
- Reported safetensors parameters
- 35,951,822,704
- Architecture
- Qwen3_5MoeForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-15T08:34:39.000Z
- Last modified
- 2026-10-22T14:08:48.000Z
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.