Yose Marthin Giyay

yohn-maistre

1 209

AI & ML interests

Indigenous language preservation with LLM

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liked a dataset 5 days ago

facebook/omnilingual-asr-corpus

liked a dataset 5 days ago

X-lord/Dataset-Text-To-Speech-Indonesia

liked a dataset 9 days ago

google/WaxalNLP

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liked 2 datasets 5 days ago

facebook/omnilingual-asr-corpus

Viewer • Updated Nov 14, 2025 • 548k • 5.41k • 209

X-lord/Dataset-Text-To-Speech-Indonesia

Viewer • Updated Jan 13 • 4.53k • 136 • 2

liked a dataset 9 days ago

google/WaxalNLP

Preview • Updated 8 days ago • 83.7k • 266

reacted to nightmedia's post with 🤗 9 days ago

Post

712

The DavidAU/Qwen3.6-27B-Fable-Fusion-711

This model was assembled at NightmediaAI under the lab name:
nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
There is ample information on the model card about the model itself.

Here are the base model metrics, as it was merged

Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
          arc   arc/e boolq hswag obkqa piqa  wino
mxfp8     0.711,0.879,0.910,0.790,0.514,0.823,0.763
qx86-hi   0.696,0.876,0.912,0.791,0.518,0.824,0.760
qx64-hi   0.702,0.873,0.909,0.794,0.514,0.822,0.750
mxfp4     0.701,0.873,0.909,0.786,0.488,0.813,0.759

It is a merge of different models, some abliterated, some as they were, so as a result, this source is not Heretic. DavidAU offers the source in Heretic mode here:
DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-MTP

The basic idea behind this model was to build a model that can be used as a base, and has high enough IQ to merge with other models. Every model card shows details of assembly and provides a vibe check with the Nightmedia test prompts.

I merged a few samples here:

with nbeerbower/BigBubba-Qwen3.6-27B
nightmedia/Qwen3.6-27B-Fable-Fusion-711-BigBubba-717-mxfp8-mlx

mxfp8     0.717,0.873,0.912
mxfp4     0.707,0.877,0.912

with migtissera/Tess-4-27B:
nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-Tess-mxfp8-mlx

mxfp8     0.712,0.879,0.911,0.792,0.508,0.823,0.764
mxfp4     0.706,0.873,0.910,0.790,0.496,0.817,0.761

with EpistemeAI/Reasoning-Medical-27B (metrics pending):
nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-Medical-mxfp8-mlx

mxfp8     0.716,0.877,0.911
mxfp4     0.701

This last model was simply a blind merge, and might not be the proper formula for it, but was entertaining enough to publish as a sample.

I am populating the model card metrics as they become available.