Instructions to use symrex/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use symrex/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp symrex/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp
This model was quantized using oQ (oMLX v0.6.3) mixed-precision quantization.
Quantization details
- Model type: qwen3_5_moe
- Bits: 4
- Group size: 64
- Format: MLX safetensors
Performance Benchmark
- Run on: Apple Mac Studio M4 Max 128GB
- error
oMLX - LLM inference, optimized for your Mac
https://github.com/jundot/omlx
Benchmark Model: Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp
Engine: Auto
Context: Code (Python)
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Single Request Results
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Test TTFT(ms) TPOT(ms) pp TPS tg TPS E2E(s) Throughput Peak Mem
pp1025/tg128 577.6 8.67 1774.7 tok/s 116.3 tok/s 1.686 683.8 tok/s 20.02 GB
pp4097/tg128 2211.3 9.08 1852.7 tok/s 111.0 tok/s 3.368 1254.4 tok/s 22.07 GB
pp8193/tg128 4612.1 9.23 1776.4 tok/s 109.2 tok/s 5.792 1436.7 tok/s 22.70 GB
pp16385/tg128 10047.0 9.96 1630.8 tok/s 101.2 tok/s 11.319 1458.9 tok/s 23.98 GB
pp32769/tg128 23590.4 11.12 1389.1 tok/s 90.6 tok/s 25.011 1315.3 tok/s 26.53 GB
pp65537/tg128 62547.3 13.50 1047.8 tok/s 74.7 tok/s 64.270 1021.7 tok/s 31.79 GB
pp131073/tg128 190820.4 17.63 686.9 tok/s 57.2 tok/s 193.068 679.6 tok/s 42.25 GB
Continuous Batching
pp1024 / tg128
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Batch tg TPS Speedup pp TPS pp TPS/req TTFT(ms) E2E(s)
2x 204.8 tok/s N/A 1201.2 tok/s 600.6 tok/s 1494.8 2.955
4x 331.5 tok/s N/A 1084.0 tok/s 271.0 tok/s 2362.9 5.323
8x 564.3 tok/s N/A 1012.8 tok/s 126.6 tok/s 4429.0 9.903
Intelligence Benchmark Comparison
Intelligence Benchmark Comparison
Mode Sampled Qwen3.8-Flash-Next-oQ4e-mtp Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp
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MMLU Sample 100/14042 90.0% 87.5%
TRUTHFULQA Full 817 - 79.8%
HUMANEVAL Full 164 - 92.7%
LIVECODEBENCH Sample 100/1055 - 43.0%
--- Detail ---
Model: Qwen3.8-Flash-Next-oQ4e-mtp
Benchmark Accuracy Correct Total Time(s) Think
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MMLU 90.0% 90 100 3288.9 Yes
Model: Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp
Benchmark Accuracy Correct Total Time(s) Think
--------------------------------------------------------------
MMLU 87.5% 875 1000 4108.8 Yes
TRUTHFULQA 79.8% 652 817 2650.3 Yes
HUMANEVAL 92.7% 152 164 1267.9 Yes
LIVECODEBENCH 43.0% 43 100 4244.5 Yes
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Model size
6B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit
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Model tree for symrex/Qwen3.6-35B-A3B-Uncensored-Genesis-Hermes-V10-dequantized-oQ4e-mtp
Base model
Qwen/Qwen3.6-35B-A3B