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vorenthiclabs/vorenthos-1.5-thinking
vorenthos-1.5-thinking is a image-text-to-text model from vorenthiclabs. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for ollama. The card lists the license as other.
🖼️ Vision-Language Model — accepts both image and text inputs.
Downloads · 30 days
18
11% of all-time downloads
All-time downloads
161
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.gguf7.2 GB · 100%
From the Hugging Face model README
🖼️ Vision-Language Model — accepts both image and text inputs.
Exported from a local Ollama installation and uploaded to the Hugging Face Hub by vorenthiclabs.
| Field | Value |
|---|---|
| Base model | gemma4 |
| Finetuned model | vorenthos-1.5-thinking |
| Tag / variant | latest |
| Model type | Vision-Language (Multimodal) |
| Format | GGUF (llama.cpp-compatible) |
| Total size | 7.16 GB |
| Layers | 5 |
ollama pull vorenthos-1.5-thinking
ollama run vorenthos-1.5-thinking
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="vorenthiclabs/vorenthos-1.5-thinking",
filename="*.gguf",
)
output = llm("Hello, who are you?", max_tokens=256)
print(output["choices"][0]["text"])
from llama_cpp import Llama
from llama_cpp.llama_chat_format import MoondreamChatHandler # adjust handler per model
llm = Llama.from_pretrained(
repo_id="vorenthiclabs/vorenthos-1.5-thinking",
filename="*.gguf",
chat_handler=MoondreamChatHandler(clip_model_path="mmproj*.gguf"),
n_ctx=4096,
)
response = llm.create_chat_completion(messages=[{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}},
{"type": "text", "text": "Describe this image."}
]
}])
print(response["choices"][0]["message"]["content"])
transformers + GGUF supportfrom transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("vorenthiclabs/vorenthos-1.5-thinking")
model = AutoModelForCausalLM.from_pretrained("vorenthiclabs/vorenthos-1.5-thinking")
| File | Description |
|---|---|
config.json | Ollama model configuration / metadata |
model-*.gguf | Quantised weights in GGUF format |
tokenizer.jinja | Chat template |
params.json | Generation parameters (temperature, top-p, …) |
system_prompt.txt | Default system prompt embedded in the model |
Please check the original model's license before redistribution.
This upload is provided as-is for research and experimentation.
Visit us at https://huggingface.co/vorenthiclabs.