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TheCluster/Qwen3.8-27B-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS-MLX-mixed-9.4bit

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face

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Model Card

Qwen3.8 27B Abliterated Uncensored Philadelphia Class

Quality: quantized (*mixed quants per tensor, group size: 32, 9.450 bpw*)

Most tensors use 8-bit affine quantization with a group size 32; some important tensors are saved in bf16.

Default value for reasoning_effort is set to 'low' to avoid overthinking.

Recommended settings

1.Sampling Parameters: The developers suggest using the following sets of sampling parameters:

—Thinking Mode: temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0
—Instruct (or non-thinking) mode: temperature=0.7, top_p=0.80, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0

For supported frameworks, you can adjust the presence_penalty parameter between 0 and 2 to reduce endless repetition. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.

Source

This model was converted to MLX format from `KridgeDookie/Qwen3.8-27B-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS` using mlx-vlm version 0.6.13.