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Mach-1-Additive-35B-Multimodal
SyzygyResearch/Mach-1-Additive-35B-Multimodal
Mach-1-Additive-35B-Multimodal is a machine learning model from SyzygyResearch. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
[!NOTE] This repo is Mach-1-Additive-35B with one addition: vision.safetensors, the base model's bf16 vision tower. The quantized language payload is byte-identical to that repo.
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Repo size
22.5 GB
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.safetensors9 GB · 100%
At a glance
- Model type
- qwen3_5_moe
- Access
- Public
- Created
- Aug 5, 2026
- Updated
- Aug 17, 2026
- SHA
- 16389b2c
Model card
From the Hugging Face model README
<!-- Theme-aware embed. If your renderer ignores <picture>, use the plain image line underneath instead and delete this block. -->[!NOTE] This repo is Mach-1-Additive-35B with one addition:
vision.safetensors, the base model's bf16 vision tower. The quantized language payload is byte-identical to that repo.
Benchmarks
| Mean retention, 12 benchmarks | |
|---|---|
| Mach-1 Small | 96.3% |
| Ternary Bonsai 27B (PrismML) | 93.6% |
| Gemma 4 Q2_K_XL (Unsloth) | 85.6% |
Per-benchmark Retention
| Benchmark | Mach-1 Small | Ternary Bonsai 27B | Gemma 4 Q2_K_XL |
|---|---|---|---|
| AIME26 | 95.8% | 92.7% | 67.7% |
| MATH-500 | 99.2% | 98.2% | 95.6% |
| AIME25 | 93.9% | 91.7% | 67.2% |
| GSM8K | 99.8% | 100.2% | 97.3% |
| MBPP+ | 98.1% | 98.4% | 92.2% |
| HumanEval+ | 96.5% | 98.7% | 94.1% |
| MMLU-Redux | 97.0% | 94.0% | 96.9% |
| IFEval | 94.8% | 89.8% | 95.5% |
| MuSR | 100.4% | 91.6% | 91.1% |
| BFCL-v3 | 96.3% | 98.9% | 95.7% |
| τ²-bench | 94.1% | 91.2% | 73.1% |
| IFBench | 89.8% | 77.7% | 61.3% |
| Mean | 96.3% | 93.6% | 85.6% |
Mach-1 Small's own scores and teacher scores:
| Benchmark | Score | Teacher (Qwen3.6-35B-A3B BF16) | Retention |
|---|---|---|---|
| AIME26 | 86.25 | 90.00 | 95.8% |
| MATH-500 | 97.80 | 98.60 | 99.2% |
| AIME25 | 82.92 | 88.33 | 93.9% |
| GSM8K | 95.98 | 96.21 | 99.8% |
| MBPP+ | 94.18 | 96.03 | 98.1% |
| HumanEval+ | 91.77 | 95.12 | 96.5% |
| MMLU-Redux | 89.88 | 92.68 | 97.0% |
| IFEval | 84.42 | 89.05 | 94.8% |
| MuSR | 66.93 | 66.66 | 100.4% |
| BFCL-v3 | 72.19 | 74.98 | 96.3% |
| τ²-bench | 74.82 | 79.51 | 94.1% |
| IFBench | 58.33 | 64.97 | 89.8% |
Speed
- Type
- qwen3_5_moe
- Created
- Aug 5, 2026
- Updated
- Aug 17, 2026