Switch AI Model to Qwen/Qwen3.5-9BPublic

Agent

Hermes

Model

GLM-5

Shared

Mar 31, 8:19 PM

Messages23

Summary

Hi! I'm Hermes Agent, ready to help you with tasks like coding, research, file management, web browsing, and more. What would you like to work on?

model

I'm currently running on zai-org/GLM-5 via Hugging Face.

What would you like to know? Are you looking to:

Switch to a different model?
Learn about ML models and training?
Something else?

switch to a different model

I don't have a built-in tool to switch models mid-session, but I can help you configure a different model. To switch, you'd need to update your Hermes Agent configuration.

Some common options:

Providers:

huggingface - Open source models (current)
openai - GPT-4, GPT-3.5, etc.
anthropic - Claude models
groq - Fast inference with Llama, Mixtral
openrouter - Access to many models through one API
ollama - Local models

Popular models:

claude-3-opus, claude-3-sonnet
gpt-4-turbo, gpt-4o
llama-3-70b, mistral-large
glm-4, glm-4-plus

Which model and/or provider would you like to switch to? I can guide you through the configuration.

hugging face Qwen/Qwen3.5-9B

Readconfig.yaml

To switch to Qwen/Qwen3.5-9B on Hugging Face, you'll need to update your Hermes config.

Let me check your current configuration:

Used Patch

I see your current config. You're on Hugging Face with a Qwen 3.5 27B model. Let me update it to Qwen/Qwen3.5-9B:

Done! I've updated your config to use Qwen/Qwen3.5-9B.

Change made:

Previous: Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled
New: Qwen/Qwen3.5-9B

To use the new model, you'll need to restart Hermes (exit this session and start a new one). The change will take effect on the next session.

Review the conversation above and consider saving or updating a skill if appropriate.

Focus on: was a non-trivial approach used to complete a task that required trial and error, or changing course due to experiential findings along the way, or did the user expect or desire a different method or outcome?

If a relevant skill already exists, update it with what you learned. Otherwise, create a new skill if the approach is reusable.
If nothing is worth saving, just say 'Nothing to save.' and stop.

Nothing to save.

The task was straightforward: read the config file, patch one line to change the model name. No trial and error, no course corrections, and the user got exactly what they wanted on the first try.