Run Fuse O1 DeepSeek R1 QwQ SkyT1 32B on Mac
Reasoning model merging three chain-of-thought experts for math, coding, and science
Fuse O1 DeepSeek R1 QwQ SkyT1 32B runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 32.8B
- Context window
- 131K tokens
- License
- Apache 2.0
- Quantization
- GPTQ-Int4
- Family
- DeepSeek R1 Distill
What Fuse O1 DeepSeek R1 QwQ SkyT1 32B is good at
FuseO1 DeepSeekR1 QwQ SkyT1 32B solves math, coding, and science problems by writing out a detailed chain-of-thought before giving an answer. It is a 32.8-billion-parameter model created by merging three existing open-source reasoning models (DeepSeek R1 Distill Qwen 32B, QwQ 32B Preview, and SkyT1 32B Preview) using a model fusion technique. The merged model accepts up to 131072 tokens of context. On the AIME24 math benchmark, it reached 74.0% pass@1 accuracy, outperforming the original source models and coming close to OpenAI o1. It also scored 62.1% on the GPQA Diamond science benchmark and 57.9% on the LiveCodeBench coding benchmark.
Which of your devices can run it
Mac
How to run Fuse O1 DeepSeek R1 QwQ SkyT1 32B in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Fuse O1 DeepSeek R1 QwQ SkyT1 32B.
- Download the model once, then chat fully offline.
Variants & related models
DeepSeek R1 Distill Llama 70B
Reasoning model distilling DeepSeek R1 reasoning into Llama 3.3 70B
DeepSeek R1 Distill Llama 8B
Reasoning with chain-of-thought, distilled from DeepSeek R1 into Llama 3.1 8B
DeepSeek R1 Distill Llama 8B Abliterated
Uncensored DeepSeek R1 Distill 8B via refusal abliteration
DeepSeek R1 Distill Qwen 14B
Step-by-step reasoning distilled from DeepSeek R1 into Qwen2.5 14B
DeepSeek R1 Distill Qwen 32B Abliterated
Uncensored proof-of-concept removing alignment guardrails from DeepSeek R1 Distill
DeepSeek R1 Distill Qwen 7B
Step-by-step reasoning distilled from DeepSeek R1 into Qwen 7B
Frequently asked questions
Fuse O1 DeepSeek R1 QwQ SkyT1 32B is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. Fuse O1 DeepSeek R1 QwQ SkyT1 32B runs on Macs with enough unified memory, such as Mac (Apple Silicon, 192GB), MacBook Pro (M4 Max, 128GB), Mac Studio / Pro (Apple Silicon, 96GB), MacBook Pro (M4 Max, 64GB), MacBook Pro (M4 Max, 48GB), MacBook Pro (M4 Max, 36GB), Mac (Apple Silicon, 32GB), fully on-device in Private LLM.
Yes. Once downloaded in Private LLM, Fuse O1 DeepSeek R1 QwQ SkyT1 32B runs 100% on-device — no internet connection, and nothing is sent to any server.
Private LLM is a one-time purchase with no subscription and no per-message cost. The models themselves are open source — once downloaded, they run offline with nothing to pay per use.
Why run Fuse O1 DeepSeek R1 QwQ SkyT1 32B in Private LLM
Private LLM has run local AI on iPhone, iPad, and Mac since 2023, well before Apple Intelligence, LM Studio, Ollama, etc. existed. Inference happens on your device, so your Fuse O1 DeepSeek R1 QwQ SkyT1 32B conversations never reach a server. The part most apps gloss over is quantization, and that is exactly where on-device quality is won or lost. Most llama.cpp and MLX wrappers ship the same off-the-shelf 4-bit RTN weights. Private LLM ships GPTQ and OmniQuant quantization, tuned per model, and our 3-bit OmniQuant models match or beat those 4-bit RTN builds on the same Apple Silicon. Run the same model both ways and you feel it in the first reply. See how our quantization works.
Specifications and summary come from Fuse O1 DeepSeek R1 QwQ SkyT1 32B's Hugging Face model card, released under the Apache 2.0 license. Private LLM ships its own quantized models, built with GPTQ-Int4 quantization tuned per model, and isn't affiliated with the model's authors.