2.2 KiB
2.2 KiB
Vision Model Capabilities (vLLM / Noris)
Tested against https://ai.noris.de/v1 — OpenAI-compatible vLLM endpoint.
Multimodal (Accepts Images) ✅
| Model | Notes |
|---|---|
vllm/release/gemma-4-31b-it |
Works. Despite not being labeled "vision", accepts image_url content type and describes images accurately. Good for slide QA. |
Text-Only (Rejects Images) ❌
| Model | Error | Notes |
|---|---|---|
vllm/release/qwen3.6-27b |
400: At most 0 image(s) may be provided in one prompt |
Explicitly rejects image input |
vllm/release/qwen3.6-35b-a3b |
400: Input should be a valid string |
Rejects multimodal content format |
vllm/release/gpt-oss-120b |
Returns "I'm not able to view images" | Accepts the request but model itself can't process images |
vllm/release/glm-5-2 |
Not tested for images | Primary chat model — assumed text-only |
Testing Procedure
Send a single image with a simple "describe this image" prompt:
import urllib.request, json, base64
with open("test.jpg", "rb") as f:
img_b64 = base64.b64encode(f.read()).decode()
payload = {
"model": "<model_to_test>",
"messages": [{"role": "user", "content": [
{"type": "text", "text": "Describe this image in 1 sentence."},
{"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img_b64}"}}
]}],
"max_tokens": 80
}
req = urllib.request.Request(
"https://ai.noris.de/v1/chat/completions",
data=json.dumps(payload).encode(),
headers={"Authorization": "Bearer <key>", "Content-Type": "application/json"}
)
resp = urllib.request.urlopen(req, timeout=30)
print(json.loads(resp.read())["choices"][0]["message"]["content"])
If the response describes the image content → multimodal. If it apologizes about not seeing images or returns HTTP 400 → text-only.
Config Gotcha
The auxiliary.vision section in ~/.hermes/config.yaml must have:
- Correct model name WITH prefix (e.g.
vllm/release/gemma-4-31b-it, notvllm/gemma-4-31b-it) - Non-empty
base_urlandapi_key
If these are empty or wrong, vision_analyze fails with "no keys found that support model" — even if the top-level vision.* section is correct. Both sections must be consistent.