PROJECTS / HERMES + LOCAL LLM
Hermes + Local LLM
Hermes Agent setup with a Local LLM on an old Nvidia GTX 1070 Super 8GB VRAM card on a Hex-Core Intel CPU.
- STARTED
- 01/10/2026
- BY
- Michael Pope, Danch
- TAGS
- hobby
Hermes + Local LLM
Setup LM-Studio 0.4.24-2
Publisher | unsloth |
Params | 8B |
LLM Model | qwen3-8b-128k-GGUF |
Quant | Q4_K_S |
Capabilities | Tool use, Reasoning |
Domain | LLM |
Size on disk | 4.80GB |
Context Length | 65536 |
K Cache Quantization Type | Q4_0 |
V Cache Quantization Type | Q4_0 |
Setup Hermes TUI
Install Hermes through Omarchy Menu (SUPER+SPACE, Hermes, Enter)
Run setup = Y
Select ‘Full Setup’
Select LM-Studio
Hit enter on LM_API_KEY to accept default
Hit enter on Base URL to accept default
Select default model as ‘qwen3-8b-128k’
Select terminal backup ‘keep current local’
Select ‘Telegram’ from the platforms
Select ‘Automatic’ for the Telegram bot
Open up the link on my mobile to link to telegram
Get the API token in telegram
Go to BotFather in Telegram
Type ‘/mybots’
Select the hermes one
Select API Key
Copy the API manually back into hermes terminal
Leave the Home channel ID empty for cron job results, etc
Setup systemd telegram = ‘Y’
Run gateway as a user service
Start the service now
Select the Tools, I added ‘Home Assistant’ to the defaults
Choose a provider = Local Browser
Went with defaults for Home assistant, just hit enter
Choose a provider (LLM) = skip
Select a TTS = Microsoft Edge
Choose DuckDuckGo for search provider
Will have to setup tools later as some are not connected
Enable browser
Install agent-browser
$ npm install -g agent-browser
Test
Start ‘hermes’ TUI
Create a test file
Prompt
Create a file /home/map7/foo.txt with bar in it
Then do a ls /home/map7 in terminal to check
Speed it up!
Using qwen/qwen3.5-9b from lmstudio-community model do the following through lm-studio
set context to 65000
turn off reasoning
turn off K & V Quantization
Install hermes-desktop and turn off reasoning in there, then try.
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