Ocelot-GGUF

Ocelot-1-VL GGUF

Merged and quantized GGUF builds of bravesoftware/Ocelot-1-VL, a Qwen3-VL-4B LoRA specialized for webpage summarization from page text or screenshots.

The Ocelot LoRA was merged into Qwen/Qwen3-VL-4B-Instruct in BF16 before conversion. The vision projector is separate and is unchanged by the language-side LoRA.

Intended use

This is not a general-purpose assistant. Use it only to summarize webpage text or webpage screenshots with the training-aligned prompt. See the original model card for the full prompt contract, limitations, and safety guidance.

The is the text of a webpage: <page>
... page plain text here ...
</page>
Summarise the content between the <page> tags, or if no content is found use the screenshots provided, in the Brave Summary style.

For screenshots, begin with The following is a screenshot of a webpage: and append the same fixed instruction.

Files

Run

llama-cli \
  -m Ocelot-1-VL-Q4_K_M.gguf \
  -p 'The is the text of a webpage: <page>Page text here</page> Summarise the content between the <page> tags, or if no content is found use the screenshots provided, in the Brave Summary style.' \
  -n 512 -c 8192

For screenshots, add --mmproj mmproj-Ocelot-1-VL-Q8_0.gguf --image webpage.png and use the screenshot prompt described above.

Conversion and validation

• Adapter revision: fbc473443eec370c3b551363556ab75d2b485db6
• Base revision: ebb281ec70b05090aa6165b016eac8ec08e71b17
• llama.cpp revision: 0278d8362d78c5de291bc03b76016f7f74b2ab77
• All 15 language files passed generation smoke tests.
• Q4_K_M with the Q8 projector passed screenshot summarization.
• Apple M4 Pro Q4 benchmark: 313 prompt tokens/s and 26 generation tokens/s with Metal.

Quantization can reduce output quality, especially at 2 and 3 bits. Validate against your own webpage corpus before production use.