You can deploy this model and start earning money today!

TheCluster/
Qwen3.8-27B-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS-MLX-mixed-6bit

Name: Qwen3.8-27B-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS-MLX-mixed-6bit
Availability: InStock

Views

No views yet

Qwen3.8 27B Abliterated Uncensored Philadelphia Class

Quality: quantized (mixed quants per tensor, group size: 32, 6.096 bpw)

Most tensors use 4-bit, 6-bit or 8-bit affine quantization with a group size 32.

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

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.

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