Intern-S2-Preview
Support summary
Intern-S2-Preview is a checkpoint published by InternLM, built on the InternS2PreviewForConditionalGeneration architecture. vLLM 0.28.0, the newest indexed vLLM release, documents support.
vLLM documents support in 10 of 20 indexed releases, from 0.22.0 to 0.28.0.
- Documented hardware
- NVIDIA / CUDA
- Documented quantization
- BF16
- Documented features
- Multi-token prediction, Reasoning parsers, Speculative decoding, Tensor parallelism, and Tool calling
- Configured context
- 262,144 tokens
- License
- apache-2.0
Hardware, quantization and features count only statements about this checkpoint; engine-wide capabilities are listed with each release.
Hugging Face model card
- Publisher
- InternLM
- Task
- image text to text
- License
- apache-2.0
- Library
- transformers
- Architecture
- InternS2PreviewForConditionalGeneration
- Weight tensor elements
- 36.1B
- Tensor types
- F32, BF16
- Configured context
- 262,144 tokens
- Weight access
- Public
- Repository created
- 2026-05-15
Model notes and sources
- vLLM v0.28.0 · docs/models/supported_models.md · 10 indexed revisions, v0.22.0 to v0.28.0
- internlm/Intern-S2-Preview · publisher model card
- internlm/Intern-S2-Preview · Hugging Face metadata
- internlm/Intern-S2-Preview · publisher configuration
- vllm · models/internlm/Intern-S2-Preview.yaml
- sglang · docs/cookbook/autoregressive/InternLM/Intern-S2-Preview.mdx
- Reviewed
Engine support
3 engines
| Engine | Release | Checkpoint support | Evidence scope | Last known supported |
|---|---|---|---|---|
| vLLM | 0.28.0Newest indexed | Checkpoint evidenceSource: vLLM v0.28.0 · docs/models/supported_models.mdReviewed | 0.28.0This release | |
Features, dependencies and evidence for vLLM 0.28.0 | ||||
| SGLang | 0.5.19Newest indexed | No matching evidence curated | No supported release indexed | |
Features, dependencies and evidence for SGLang 0.5.19 | ||||
| TensorRT-LLM | 1.2.1Newest indexed | No matching evidence curated | No supported release indexed | |
Features, dependencies and evidence for TensorRT-LLM 1.2.1 | ||||