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All quants made using imatrix option with dataset from here combined with a subset of combined_all_small.parquet from Ed Addario here No chat template specified so default is used. This may be incorrect, check original model card for details. Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.

Text generation
Input Text→ Output Text
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**Model details:** - Parameter count: 9B (source checkpoint) - Input support: text, image (with mmproj file) - details - Decision model: yes (clef) - details - Speculative decoding: no - imatrix: no (not possible for a decision model) - details This is a decision model: it reads a state (text or JSON) together with a schema of typed questions, and returns a probability for every allowed option of every question in a single forward pass. It does not generate text. There is no chat, no completion endpoint and no prompt format to follow. llama.cpp serves it through the `/v1/systemone` endpoint of `llama-server` (the TypeSafe System One API); the request and response shapes are documented in the llama-server README. For example:

Visual QA
Input Text · Image→ Output Text
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**Model details:** - Parameter count: 27B (source checkpoint) - Input support: text, image (with mmproj file) - details - Decision model: yes (clef) - details - Speculative decoding: no - imatrix: no (not possible for a decision model) - details This is a decision model, not a text generator: it reads a state (text or JSON) together with a schema of typed questions and hands back a probability for every allowed option of every question, all in a single forward pass. It never generates text, so there's no chat, no completion endpoint, and no prompt format to worry about. llama.cpp serves it through llama-server's `/v1/systemone` endpoint (the TypeSafe System One API). The full request and response shapes are in the llama-server README, but here's what a request looks like:

Visual QA
Input Text · Image→ Output Text
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