Qwen2.5-VL-7B-Instruct
State‑of‑the‑art vision‑language model capable of understanding images and generating text responses.
Qwen2.5‑VL‑7B‑Instruct is a multimodal vision‑language model with 7 billion parameters that can process both images and text, enabling visual question answering, image description, and other vision‑language tasks.
Technical Details
Input sequence length for Prompt Processor:128
Input image size for Vision Encoder:504x336
Context lengths:512,1024,2048
Use:Initiate conversation with prompt-processor and then token generator for subsequent iterations.
Minimum QNN SDK version required:2.45.0
Supported languages:English, Chinese, and many others.
TTFT:Time To First Token is the time it takes to generate the first response token. This is expressed as a range because it varies based on the length of the prompt. The lower bound is for a short prompt (up to 128 tokens, i.e., one iteration of the prompt processor) and the upper bound is for a prompt using the full context length.
Response Rate:Rate of response generation after the first response token.
Applicable Scenarios
- Dialogue
- Content Generation
- Customer Support
License
Model:APACHE-2.0
Terms of Use:Qualcomm® Generative AI usage and limitations
Tags
- llm
- generative-ai
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X2 Elite CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X2 Elite
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