Bobcat Flash 1.2 · Bobcat Flash 1.2 FP8 · Try it in the Space · Code on GitHub Bobcat Flash is the fast tier of Bobcat, a typed-decision model. You send a state (text or JSON) and questions whose possible answers you define in the request; Flash returns a probability for every answer you named, and nothing else. It never generates text: it reads the logits of the offered candidates at the first answer position of one forward pass, and the host builds a closed JSON reply from your own names. An answer can be wrong, but it cannot be malformed. This repository, sanghwa-na/bobcat-flash-1.2, holds Bobcat Flash 1.2 as ready-to-serve BF16 weights on google/gemma-4-26B-A4B-it (Apache-2.0) at…
Independent publisher
Sanghwa Na
sanghwa-na
Sr. AI/ML Solutions Architect
Compare the published evidence
This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Zero shot classification.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
A pre-quantized FP8 checkpoint of Bobcat Flash 1.2, the fast tier of the typed-decision model Bobcat: you send a state and questions whose answers you name, and it returns a probability for every answer you named; it never generates text. Evaluation, training data, limitations and the full license notes are on the main card, This repository, sanghwa-na/bobcat-flash-1.2-fp8, is the BF16 weights of sanghwa-na/bobcat-flash-1.2 quantized to FP8 (27.2 GB, FP8DYNAMIC, every expert included): float8e4m3fn weights with one scale per output channel, activations quantized per token at run time, in the compressed-tensors format that vLLM loads as it is. It is the checkpoint the Bobcat Flash Space…