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ggufs/
mantis-m1-flash-lora

Name: mantis-m1-flash-lora
Availability: InStock

Qwen/Qwen2.5-VL-7B-Instruct

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Mantis M1 Flash

A concise vision-language model built by ggufs on top of Qwen2.5-VL-7B-Instruct.

What it does

Reads up to 6 images and answers about them
Direct, short answers — no rambling, no filler
Identity: Mantis, built by ggufs
Trained on 430 knowledge pairs across physics, chemistry, biology, math, CS, SVG, Three.js, and web dev

Performance

Base median response: 1,332 chars
Mantis median response: 154 chars (8.6x shorter)
All answers factually correct

Thinking mode

[flash] prefix: gives direct answers with internal reasoning
[think] prefix: shows full reasoning steps before the answer

Usage

python

from transformers import AutoModelForImageTextToText, AutoProcessor
from peft import PeftModel

model = AutoModelForImageTextToText.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct", dtype="bfloat16", device_map="auto")
model = PeftModel.from_pretrained(model, "ggufs/mantis-m1-flash-lora")