[GH-ISSUE #14056] youtu/youtu-vl error loading model #55697

Closed
opened 2026-04-29 09:36:08 -05:00 by GiteaMirror · 4 comments
Owner

Originally created by @git9875 on GitHub (Feb 3, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/14056

What is the issue?

I ran the command: ollama run youtu/youtu-vl.
When it finished downloading, it gave this error:
Error: 500 Internal Server Error: llama runner process has terminated: error loading model: error loading model hyperparameters: key not found in model: deepseek2.expert_weights_scale

Relevant log output

ollama run youtu/youtu-vl
pulling manifest
pulling 417f0d697a9a: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏ 5.2 GB
pulling 1bcb2b7a9968: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏ 893 MB
pulling 4175e009c870: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏  771 B
pulling 75357d685f23: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏   28 B
pulling 4b57630ed467: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏  108 B
pulling 1b3004b49f80: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏  574 B
verifying sha256 digest
writing manifest
success
Error: 500 Internal Server Error: llama runner process has terminated: error loading model: error loading model hyperparameters: key not found in model: deepseek2.expert_weights_scale
llama_model_load_from_file_impl: failed to load model
panic: unable to load model: C:\Users\searo\.ollama\models\blobs\sha256-417f0d697a9a7e90de283700ed444342518b0a48233e488fdc2900648cc13d92

goroutine 53 [running]:
github.com/ollama/ollama/runner/llamarunner.(*Server).loadModel(0xc000258500, {{0xc0003c6038, 0x1, 0x1}, 0x29, 0x0, 0x0, {0xc0003c6030, 0x1, 0x2}, ...}, ...)
        github.com/ollama/ollama/runner/llamarunner/runner.go:843 +0x33f
created by github.com/ollama/ollama/runner/llamarunner.(*Server).load in goroutine 51
        github.com/ollama/ollama/runner/llamarunner/runner.go:934 +0x889

OS

Windows

GPU

Nvidia

CPU

Intel

Ollama version

0.15.4

Originally created by @git9875 on GitHub (Feb 3, 2026). Original GitHub issue: https://github.com/ollama/ollama/issues/14056 ### What is the issue? I ran the command: `ollama run youtu/youtu-vl`. When it finished downloading, it gave this error: Error: 500 Internal Server Error: llama runner process has terminated: error loading model: error loading model hyperparameters: key not found in model: deepseek2.expert_weights_scale ### Relevant log output ```shell ollama run youtu/youtu-vl pulling manifest pulling 417f0d697a9a: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏ 5.2 GB pulling 1bcb2b7a9968: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏ 893 MB pulling 4175e009c870: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏ 771 B pulling 75357d685f23: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏ 28 B pulling 4b57630ed467: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏ 108 B pulling 1b3004b49f80: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████▏ 574 B verifying sha256 digest writing manifest success Error: 500 Internal Server Error: llama runner process has terminated: error loading model: error loading model hyperparameters: key not found in model: deepseek2.expert_weights_scale llama_model_load_from_file_impl: failed to load model panic: unable to load model: C:\Users\searo\.ollama\models\blobs\sha256-417f0d697a9a7e90de283700ed444342518b0a48233e488fdc2900648cc13d92 goroutine 53 [running]: github.com/ollama/ollama/runner/llamarunner.(*Server).loadModel(0xc000258500, {{0xc0003c6038, 0x1, 0x1}, 0x29, 0x0, 0x0, {0xc0003c6030, 0x1, 0x2}, ...}, ...) github.com/ollama/ollama/runner/llamarunner/runner.go:843 +0x33f created by github.com/ollama/ollama/runner/llamarunner.(*Server).load in goroutine 51 github.com/ollama/ollama/runner/llamarunner/runner.go:934 +0x889 ``` ### OS Windows ### GPU Nvidia ### CPU Intel ### Ollama version 0.15.4
GiteaMirror added the bug label 2026-04-29 09:36:08 -05:00
Author
Owner

@ssam18 commented on GitHub (Feb 4, 2026):

I can reproduce this issue locally.

$OLLAMA_HOST=http://127.0.0.1:11434 ollama run youtu/youtu-vl "hello"
Error: llama runner process has terminated: error loading model: error loading model hyperparameters: key not found in model: deepseek2.expert_weights_scale
llama_model_load_from_file_impl: failed to load model

Issue reported on: ollama version 0.15.4
Current system version: 0.9.1
Fix status: Present in main branch but not yet released

<!-- gh-comment-id:3844854342 --> @ssam18 commented on GitHub (Feb 4, 2026): I can reproduce this issue locally. $OLLAMA_HOST=http://127.0.0.1:11434 ollama run youtu/youtu-vl "hello" Error: llama runner process has terminated: error loading model: error loading model hyperparameters: key not found in model: deepseek2.expert_weights_scale llama_model_load_from_file_impl: failed to load model Issue reported on: ollama version 0.15.4 Current system version: 0.9.1 Fix status: Present in main branch but not yet released
Author
Owner

@rick-github commented on GitHub (Feb 4, 2026):

Image
<!-- gh-comment-id:3844903906 --> @rick-github commented on GitHub (Feb 4, 2026): <img width="772" height="163" alt="Image" src="https://github.com/user-attachments/assets/82f20b45-78ea-46c6-8cd6-b37575dc26f1" />
Author
Owner

@rick-github commented on GitHub (Feb 4, 2026):

$ ollama run youtu/youtu-vl describe ./'Screenshot from 2026-02-04 03-32-24.png'
Added image './Screenshot from 2026-02-04 03-32-24.png'
This image shows a screenshot of a software package page, likely from a 
Linux package repository (such as Linuxbrew or a similar system), for a 
tool called **youtu / youtu-vl**.

Here’s a breakdown of what’s shown:

---

### 📌 Package Name:
**youtu / youtu-vl**

This is likely a lightweight version of the Youtu-LM (YouTube Large Model) 
developed by Tencent, optimized for visual understanding tasks.

---

### 📊 Statistics:
- **76 Downloads** — Indicates how many times this package has been 
downloaded.
- **Updated 6 days ago** — Shows when the latest version was released or 
updated.

---

### 📝 Description:
> *Youtu-VL: a lightweight 4B VLM built on Youtu-LM, pioneering VLUAS to 
improve visual perception and multimodal understanding. Requires Ollama 
v0.15.5-rc1 or higher*

- **Youtu-VL** stands for YouTube Large Model — a vision-language model 
(VLM) designed to understand and generate text based on visual inputs.
- It’s built on top of the Youtu-LM foundation, which is known for its 
multimodal capabilities.
- The description highlights its innovation in **VLUAS** (Vision-Language 
Understanding and Analysis), aiming to enhance both visual perception and 
multimodal understanding.
- **Dependency**: Requires **Ollama v0.15.5-rc1 or higher** — Ollama is a 
tool for running large language models locally on Linux systems.

---

### 🟦 Tag:
**vision** — This tag categorizes the package under the “vision” domain, 
indicating its relevance to computer vision and visual understanding 
tasks.

---

### 🔴 Highlighted Section:
The red box draws attention to the **dependency requirement**:  
> *Requires Ollama v0.15.5-rc1 or higher*

This is important for users who want to install or run Youtu-VL — they 
must ensure their Ollama version meets or exceeds this threshold.

---

### 💡 Summary:
This is a lightweight (4B parameter) vision-language model built on 
Tencent’s Youtu-LM, designed for visual perception and multimodal 
understanding. It requires a specific version of Ollama to run locally. 
The package is categorized under “vision” and has been recently updated.

---

✅ **Use Case**: Ideal for developers or researchers working on visual 
question answering, image captioning, or multimodal AI applications that 
need to integrate with Youtu’s vision-language capabilities.

Let me know if you want help installing or running it!
<!-- gh-comment-id:3844914613 --> @rick-github commented on GitHub (Feb 4, 2026): ```console $ ollama run youtu/youtu-vl describe ./'Screenshot from 2026-02-04 03-32-24.png' Added image './Screenshot from 2026-02-04 03-32-24.png' This image shows a screenshot of a software package page, likely from a Linux package repository (such as Linuxbrew or a similar system), for a tool called **youtu / youtu-vl**. Here’s a breakdown of what’s shown: --- ### 📌 Package Name: **youtu / youtu-vl** This is likely a lightweight version of the Youtu-LM (YouTube Large Model) developed by Tencent, optimized for visual understanding tasks. --- ### 📊 Statistics: - **76 Downloads** — Indicates how many times this package has been downloaded. - **Updated 6 days ago** — Shows when the latest version was released or updated. --- ### 📝 Description: > *Youtu-VL: a lightweight 4B VLM built on Youtu-LM, pioneering VLUAS to improve visual perception and multimodal understanding. Requires Ollama v0.15.5-rc1 or higher* - **Youtu-VL** stands for YouTube Large Model — a vision-language model (VLM) designed to understand and generate text based on visual inputs. - It’s built on top of the Youtu-LM foundation, which is known for its multimodal capabilities. - The description highlights its innovation in **VLUAS** (Vision-Language Understanding and Analysis), aiming to enhance both visual perception and multimodal understanding. - **Dependency**: Requires **Ollama v0.15.5-rc1 or higher** — Ollama is a tool for running large language models locally on Linux systems. --- ### 🟦 Tag: **vision** — This tag categorizes the package under the “vision” domain, indicating its relevance to computer vision and visual understanding tasks. --- ### 🔴 Highlighted Section: The red box draws attention to the **dependency requirement**: > *Requires Ollama v0.15.5-rc1 or higher* This is important for users who want to install or run Youtu-VL — they must ensure their Ollama version meets or exceeds this threshold. --- ### 💡 Summary: This is a lightweight (4B parameter) vision-language model built on Tencent’s Youtu-LM, designed for visual perception and multimodal understanding. It requires a specific version of Ollama to run locally. The package is categorized under “vision” and has been recently updated. --- ✅ **Use Case**: Ideal for developers or researchers working on visual question answering, image captioning, or multimodal AI applications that need to integrate with Youtu’s vision-language capabilities. Let me know if you want help installing or running it! ```
Author
Owner

@git9875 commented on GitHub (Feb 4, 2026):

I missed the version detail. I didn't think of checking the version since I get automatic updates. The releases on the Ollama Github page still shows v0.15.4 though.

<!-- gh-comment-id:3844943949 --> @git9875 commented on GitHub (Feb 4, 2026): I missed the version detail. I didn't think of checking the version since I get automatic updates. The releases on the Ollama Github page still shows v0.15.4 though.
Sign in to join this conversation.
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: github-starred/ollama#55697