--- license: apache-2.0 base_model: SyzygyResearch/Mach-1-Additive-35B tags: - qwen - mach-1 - ternary - additive --- ![Screenshot 2026-08-03 at 10.32.36 AM](https://cdn-uploads.huggingface.co/production/uploads/680868b984cac4b136ea7900/0YxMKj31WMJT1NwbVAGjj.png) ## Benchmarks | | Mean retention, 12 benchmarks | | --- | ---: | | **Mach-1 Small** | **95.1%** | | Ternary Bonsai 27B (PrismML) | 93.6% | | Gemma 4 Q2_K_XL (Unsloth) | 85.6% | ### Per-benchmark Retention (Score divided by that of the respective full precision model) | Benchmark | Mach-1 Small | Ternary Bonsai 27B | Gemma 4 Q2_K_XL | | --- | ---: | ---: | ---: | | AIME26 | **93.5%** | 92.7% | 67.7% | | MATH-500 | **98.2%** | **98.2%** | 95.6% | | AIME25 | **92.5%** | 91.7% | 67.2% | | GSM8K | 99.0% | **100.2%** | 97.3% | | MBPP+ | 93.9% | **98.4%** | 92.2% | | HumanEval+ | 91.7% | **98.7%** | 94.1% | | MMLU-Redux | 96.0% | 94.0% | **96.9%** | | IFEval | **96.5%** | 89.8% | 95.5% | | MuSR | **97.6%** | 91.6% | 91.1% | | BFCL-v3 | 96.3% | **98.9%** | 95.7% | | τ²-bench | **95.5%** | 91.2% | 73.1% | | IFBench | **91.1%** | 77.7% | 61.3% | | **Mean** | **95.1%** | **93.6%** | **85.6%** | Mach-1 Small's own scores and teacher scores: | Benchmark | Score | Teacher (Qwen3.6-35B-A3B BF16) | Retention | | --- | ---: | ---: | ---: | | AIME26 | 84.17 | 90.00 | 93.5% | | MATH-500 | 96.80 | 98.60 | 98.2% | | AIME25 | 81.67 | 88.33 | 92.5% | | GSM8K | 95.22 | 96.21 | 99.0% | | MBPP+ | 90.21 | 96.03 | 93.9% | | HumanEval+ | 87.20 | 95.12 | 91.7% | | MMLU-Redux | 88.93 | 92.68 | 96.0% | | IFEval | 85.90 | 89.05 | 96.5% | | MuSR | 65.08 | 66.66 | 97.6% | | BFCL-v3 | 72.21 | 74.98 | 96.3% | | τ²-bench | 75.90 | 79.51 | 95.5% | | IFBench | 59.18 | 64.97 | 91.1% | ### Speed ![Screenshot 2026-08-03 at 11.55.47 AM](https://cdn-uploads.huggingface.co/production/uploads/680868b984cac4b136ea7900/lYFfUCU1QWrGjM23vbb66.png)