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symrex/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF-dequantized-oQ8e-mtp overview

Qwen3.6 27B Fable Fusion 711 Uncensored Heretic NM DAU NEO MAX MTP GGUF dequantized oQ8e mtp This model was quantized using oQ https://github.com/jundot/omlx o…

mlxsafetensorsqwen3_5oqquantizedbase_model:DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUFbase_model:quantized:DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF8-bitregion:us
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Model Details

Model IDsymrex/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF-dequantized-oQ8e-mtp
Authorsymrex
Pipeline
License
Base modelDavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
Last modified2026-08-09T13:35:50.000Z

Model README

---

library_name: mlx

tags:

  • mlx
  • oq
  • quantized

base_model:

  • >-

DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF

---

Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF-dequantized-oQ8e-mtp

This model was quantized using oQ (oMLX v0.5.7) mixed-precision quantization.

Quantization details

  • Model type: qwen3_5
  • Bits: 8
  • Group size: 64
  • Format: MLX safetensors

Performance Benchmark

  • Run on: Apple Mac Studio M4 Max 128GB
  • https://omlx.ai/benchmarks/wse53h85
oMLX - LLM inference, optimized for your Mac
https://github.com/jundot/omlx
Benchmark Model: Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF-dequantized-oQ8e-mtp
Engine: Auto
Context: Code (Python)
================================================================================

Single Request Results
--------------------------------------------------------------------------------
Test                                TTFT(ms)    TPOT(ms)        pp TPS        tg TPS      E2E(s)    Throughput    Peak Mem
pp1024/tg128                          4127.9       61.57   248.1 tok/s    16.4 tok/s      11.960    96.3 tok/s    28.34 GB
pp4096/tg128                         16366.9       62.22   250.3 tok/s    16.2 tok/s      24.279   174.0 tok/s    29.93 GB
pp8192/tg128                         33175.4       63.21   246.9 tok/s    15.9 tok/s      41.217   201.9 tok/s    30.84 GB
pp16384/tg128                        68451.5       64.77   239.4 tok/s    15.6 tok/s      76.691   215.3 tok/s    32.67 GB
pp32768/tg128                       145258.7       67.43   225.6 tok/s    14.9 tok/s     153.836   213.8 tok/s    36.32 GB
pp65536/tg128                       326820.5       73.41   200.5 tok/s    13.7 tok/s     336.158   195.3 tok/s    43.64 GB
pp131072/tg128                      812699.7       84.11   161.3 tok/s    12.0 tok/s     823.399   159.3 tok/s    58.61 GB

Continuous Batching
pp1024 / tg128
--------------------------------------------------------------------------------
Batch           tg TPS   Speedup        pp TPS    pp TPS/req    TTFT(ms)      E2E(s)
1x          16.4 tok/s     1.00x   248.1 tok/s   248.1 tok/s      4127.9      11.960
2x          31.7 tok/s     1.93x   191.1 tok/s    95.5 tok/s     10717.1      18.802
4x          60.0 tok/s     3.66x   242.7 tok/s    60.7 tok/s     16691.4      25.414
8x          75.9 tok/s     4.63x   241.7 tok/s    30.2 tok/s     33204.9      47.391

Intelligence Benchmark Comparison

Intelligence Benchmark Comparison

--- Detail ---

Model: Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF-dequantized-oQ8e-mtp
Benchmark         Accuracy   Correct   Total   Time(s)   Think
--------------------------------------------------------------
MMLU                 91.5%       915    1000   29025.1     Yes
TRUTHFULQA           90.0%       735     817     27397     Yes
HUMANEVAL            92.1%       151     164   10308.3     Yes

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