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Independent publisher

Guodong Fei

Kn90688

Models in Library3
Datasets in Library0
Models on Hugging Face12
Followers—

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This profile connects the 3 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: Feature extraction, Image and text to text.

Reported licenses: apache-2.0, mit, other. 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

Model · Image and text to text

kb-qwen3.5-2b-4bit

Guodong Fei

This model was converted to MLX format from Qwen/Qwen3.5-2B using mlx-vlm version 0.3.12. Refer to the original model card for more details on the model.

Open weights apache-2.0 2.2B parameters 262,144 tokens transformers

Model · Feature extraction

kb-wemm-embedding-2b-mlx-mixed

Guodong Fei

Native MLX conversion of ewin-reg/WeMM-Embedding-2B-Quantized — the hybrid FP8-protected attention + group-16 INT4 checkpoint — that preserves its mixed-precision allocation instead of flattening everything to one precision. The source checkpoint is curvature-guided: it deliberately keeps the precision-sensitive path at ~8-bit (FP8 E4M3) and compresses only the quantization-robust masses to INT4. Uniform 4-bit quantization destroys that — the source README itself documents softmax attention collapse (DKL >= 7.50) when Q/K go to 4 bits. This build mirrors the Two deviations from the source, both improvements or forced by MLX: - 8-bit group-64 is finer than the source's per-tensor-scalar FP8…

Open weights other 2.2B parameters 262,144 tokens mlx