Deepseek Vl2 Tiny
PulseGate's liveness check found it on 1 Oct 2026; it is registered on GitHub and Hugging Face and has been in the index since 21 Jul 2026. How this is checked
DeepSeek-VL2-Tiny is a lightweight version of the DeepSeek-VL2 multimodal model. It supports image-text-to-text tasks and is optimized for local inference using the Transformers library. The model is suitable for vision-language applications where computational resources are limited.
Inferred · not functionally tested
Overview
3 featuresPurpose: Running efficient multimodal (vision-language) inference on resource-constrained devices.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co · github.com. These links do not verify the individual claims.
Deepseek Vl2 Tiny sits in PulseGate's Multimodal & vision category. Inferred · not functionally tested: It focuses on running efficient multimodal (vision-language) inference on resource-constrained devices. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: Deepseek Vl2 Tiny is open source under the MIT license. Basis unknown · not verified: It runs on the web, the command line, and API.
It is developed by Isotr0py, and it first shipped in 2024. Development happens publicly on GitHub with 5.3k stars. Inferred · not functionally tested: Among its 3 catalogued features are Multimodal Understanding, Image-Text Processing, and Transformers Support.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Multimodal Understanding
- Image-Text Processing
- Transformers Support
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- bvllm in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Jul · 18:09 UTCIsotr0py/deepseek-vl2-tiny seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Deepseek Vl2 Tiny
- What is Deepseek Vl2 Tiny?
- Inferred · not functionally tested: Deepseek Vl2 Tiny focuses on running efficient multimodal (vision-language) inference on resource-constrained devices. It is catalogued under Multimodal & vision on PulseGate.
- Who should use Deepseek Vl2 Tiny?
- Inferred · not functionally tested: Deepseek Vl2 Tiny is an open-source project built for developers.
- Is Deepseek Vl2 Tiny free?
- Basis unknown · not verified: Yes — Deepseek Vl2 Tiny is open source under the MIT license and free to use.
- What platforms does Deepseek Vl2 Tiny run on?
- Basis unknown · not verified: Deepseek Vl2 Tiny runs on the web, the command line, and API.
- Is Deepseek Vl2 Tiny still active?
- PulseGate's liveness check found it on 1 Oct 2026.
- What are alternatives to Deepseek Vl2 Tiny?
- Similar projects tracked by PulseGate include Deepseek Vl2 Tiny, DeepSeek V2 Lite, and DeepSeek.Deepseek Vl2 TinyDeepSeek V2 LiteDeepSeek
- Who develops Deepseek Vl2 Tiny?
- Deepseek Vl2 Tiny is developed by Isotr0py.
- How long has Deepseek Vl2 Tiny been around?
- Deepseek Vl2 Tiny first shipped in 2024.
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