---
title: GLM-4.1V-Text-9B-Base
canonical_url: "https://www.modelscope.cn/models/ConicCat/GLM-4.1V-Text-9B-Base"
md_url: "https://www.modelscope.cn/models/ConicCat/GLM-4.1V-Text-9B-Base.md"
repository: ConicCat/GLM-4.1V-Text-9B-Base
last_updated: 2026-03-17
license: mit
model_type:
  - glm4
architectures:
  - Glm4ForCausalLM
base_model:
  - THUDM/GLM-4.1V-9B-Base
base_model_relation: finetune
parameters: 9.4B
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 31
stars: 0
---

# GLM-4.1V-Text-9B-Base

> GLM-4.1V-Text-9B-Base - ConicCat 在 ModelScope 开源的模型。The missing GLM 4.1 9B base model, obtained by pulling out the text model from 4.1V and shuffling around the weights a bit to line up with the 4.1 architecture.

ConicCat/GLM-4.1V-Text-9B-Base 是 ModelScope 魔搭社区上的 9.4B 参数机器学习模型，采用 mit 许可，基于 THUDM/GLM-4.1V-9B-Base 构建，可用 deploy_task text/emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: ConicCat/GLM-4.1V-Text-9B-Base
- **License**: mit
- **Parameters**: 9.4B
- **Base model**: THUDM/GLM-4.1V-9B-Base
- **Inference backends**: deploy_task text/emb, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 31
- **Stars**: 0
- **Last updated**: 2026-03-17

Source: https://www.modelscope.cn/models/ConicCat/GLM-4.1V-Text-9B-Base

---

The missing GLM 4.1 9B base model, obtained by pulling out the text model from 4.1V and shuffling around the weights a bit to line up with the 4.1 architecture.