Spatial-SSRL-7B

internlmPersonalstablePopularité: 920
transformerssafetensorsqwen2_5_vlimage-text-to-textmultimodalspatialsptial understandingself-supervised learningconversationalendataset:internlm/Spatial-SSRL-81karxiv:2510.27606base_model:Qwen/Qwen2.5-VL-7B-Instructbase_model:finetune:Qwen/Qwen2.5-VL-7B-Instructlicense:apache-2.0text-generation-inferenceendpoints_compatibleregion:us
Contexte
32,768 tokens
Sortie max
8,192 tokens
Publié
29/10/2025
Fournisseurs
1

Overview

Spatial-SSRL-7B is a large language model developed by internlm. It supports 32,768 tokens context and is available through 1 API provider(s).

Key Highlights

  • Unknown / Not disclosed

Brand

internlm

Personal

View all models, pricing and details from internlm.

Specifications

Basic Information

ModèleSpatial-SSRL-7B
Marqueinternlm
VersionUnknown / Not disclosed
Model Typetransformers
Statutstable
Publié29/10/2025
Popularité920

Architecture

Parameter Size8.3B
Architecture Typeqwen2_5_vl
Attention MechanismUnknown / Not disclosed
TokenizerUnknown / Not disclosed
Vocabulary SizeUnknown / Not disclosed

Context & I/O

Contexte32,768 tokens
Sortie max8,192 tokens
ModalitiesUnknown / Not disclosed
Languagesen

Capabilities

VisionNo
AudioNo
ReasoningNo
Function CallNo
MCPNo
JSON ModeNo
EmbeddingNo

Training Data

Training DatasetUnknown / Not disclosed
Estimated Data SizeUnknown / Not disclosed
Knowledge CutoffUnknown / Not disclosed

Inference & Deployment

API AccessYes
VRAM EstimateUnknown / Not disclosed
Quantization SupportUnknown / Not disclosed
Hardware RequirementsUnknown / Not disclosed

Safety & Compliance

Safety EvaluationsUnknown / Not disclosed
Content PolicyUnknown / Not disclosed
Region RestrictionsUnknown / Not disclosed

License & Pricing

Licenseapache-2.0
Commercial UseUnknown / Not disclosed
Open SourceYes

Provider & Pricing

FournisseurEntréeSortieCacheBatchSite web
internlm0,000 €/1M0,000 €/1M--Visiter le site

Changements de prix

Aucun changement de prix enregistré.

Benchmarks

No benchmark data available.

Changelog

  • Page created / data imported
    23/09/2026
  • Last updated
    23/09/2026

FAQ

What is Spatial-SSRL-7B?

Spatial-SSRL-7B is a large language model developed by internlm.

Who developed Spatial-SSRL-7B?

Spatial-SSRL-7B was developed by internlm. You can learn more on the brand page or official website.

What is the context length of Spatial-SSRL-7B?

Spatial-SSRL-7B supports up to 32,768 tokens of context.

How much does Spatial-SSRL-7B API cost?

API pricing for Spatial-SSRL-7B starts at 0,000 €/1M per 1M input tokens and 0,000 €/1M per 1M output tokens. See the pricing table above for provider-specific rates.

References

More from internlm