base_model: jedisctl/Qwen3.8-Flash-Next-Uncensored-oQ4e-100K-MTP base_model_relation: quantized library_name: mlx pipeline_tag: image-text-to-text license: other license_name: qwen-community-1.0 license_link: LICENSE tags:

• omlx
• mlx
• qwen4
• mtp
• vision
• tool-calling
• plefp8

Qwen3.8 Flash Next Uncensored oQ4e for oMLX with FP8 PLE n-gram table

Those are the quantized weights from jedisctl/Qwen3.8-Flash-Next-Uncensored-oQ4e-100K-MTP with FP8 PLE n-gram table transplanted into it.

The effect of the less-lossy PLE table data is unknown, this is an experiment. Feedback is welcome.

This model passes the intelligence benchmarks with effectively the same results as the original quantized model and is subjectively coherent.

              Mode    Sampled         Qwen3.8-Flash-Next-Uncensored-oQ4e-100K-MTP-plefp8         Qwen3.8-Flash-Next-Uncensored-oQ4e-100K-MTP
--------------------------------------------------------------------------------------------------------------------------------------------
MMLU          Sample  300/14042                                                    87.7%                                               87.0%
MMLU_PRO      Sample  300/12032                                                    68.0%                                               68.7%
HUMANEVAL     Full    164                                                          92.1%                                               93.3%

--- Detail ---

Model: Qwen3.8-Flash-Next-Uncensored-oQ4e-100K-MTP-plefp8
Benchmark         Accuracy   Correct   Total   Time(s)   Think
--------------------------------------------------------------
MMLU                 87.7%       263     300     417.7      No
MMLU_PRO             68.0%       204     300     425.1      No
  Hit token limit: 1/300 (0 of them scored correct) · Accuracy on finished answers: 68.2% (n = 299)
HUMANEVAL            92.1%       151     164     297.7      No

Model: Qwen3.8-Flash-Next-Uncensored-oQ4e-100K-MTP
Benchmark         Accuracy   Correct   Total   Time(s)   Think
--------------------------------------------------------------
MMLU                 87.0%       261     300     442.2      No
  Hit token limit: 1/300 (0 of them scored correct) · Accuracy on finished answers: 87.3% (n = 299)
MMLU_PRO             68.7%       206     300       419      No
  Hit token limit: 2/300 (0 of them scored correct) · Accuracy on finished answers: 69.1% (n = 298)
HUMANEVAL            93.3%       153     164     303.3      No

Performance and memory use appear to be identical to the original.

License

The pinned source repository contains the Qwen Community License 1.0, which is preserved in LICENSE and includes additional commercial terms. The source model card labels the repository Apache-2.0, but that label does not match the license file in the pinned source revision. Review the included license before using or distributing this artifact.