---
title: OmniSearch-Qwen-VL-Chat-en
canonical_url: "https://www.modelscope.cn/models/iic/OmniSearch-Qwen-VL-Chat-en"
md_url: "https://www.modelscope.cn/models/iic/OmniSearch-Qwen-VL-Chat-en.md"
repository: iic/OmniSearch-Qwen-VL-Chat-en
last_updated: 2025-09-28
license: apache-2.0
pipeline_tag: question-answering
tasks:
  - question-answering
model_type:
  - qwen
architectures:
  - QWenLMHeadModel
base_model:
  - Qwen/Qwen-VL-Chat
base_model_relation: finetune
parameters: 9.7B
tensor_type:
  - F16
  - F32
library_name:
  - safetensors
language:
  - en
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 151
stars: 0
---

# OmniSearch-Qwen-VL-Chat-en

> OmniSearch-Qwen-VL-Chat-en - iic 在 ModelScope 开源的模型。

iic/OmniSearch-Qwen-VL-Chat-en 是 ModelScope 魔搭社区上的 9.7B 参数question-answering模型，采用 apache-2.0 许可，基于 Qwen/Qwen-VL-Chat 构建，可用 deploy_task vlm/text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: iic/OmniSearch-Qwen-VL-Chat-en
- **License**: apache-2.0
- **Tasks**: question-answering
- **Parameters**: 9.7B
- **Base model**: Qwen/Qwen-VL-Chat
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 151
- **Stars**: 0
- **Last updated**: 2025-09-28

Source: https://www.modelscope.cn/models/iic/OmniSearch-Qwen-VL-Chat-en

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