Run Mixtral 8x7B Instruct v0.1 on Mac
General-purpose assistant outperforming Llama 2 70B
Mixtral 8x7B Instruct v0.1 runs 100% private on Mac inside Private LLM — no internet connection required, no data sent to any server.
Model on Hugging Face
Specifications
- Parameters
- 46.7B
- Context window
- 33K tokens
- License
- Apache 2.0
- Quantization
- OmniQuant 4-bit
- Family
- Mixtral 8x7B
What Mixtral 8x7B Instruct v0.1 is good at
With 46.7 billion parameters and a 32768-token context, Mixtral 8x7B Instruct is a sparse mixture-of-experts model fine-tuned for instruction following and general-purpose assistance. It is notably competitive with larger models, outperforming Llama 2 70B on most evaluated benchmarks.
Which of your devices can run it
Mac
How to run Mixtral 8x7B Instruct v0.1 in Private LLM
- Download Private LLM from the App Store.
- Open the in-app model library and choose Mixtral 8x7B Instruct v0.1.
- Download the model once, then chat fully offline.
Variants & related models
Dolphin 2.6 Mixtral 8x7B
Uncensored Mixtral 8x7B finetune excelling at coding tasks
Nous Hermes 2 Mixtral 8x7B DPO
General instruction-tuned Mixtral 8x7B model with creative text generation
Airoboros l2 7b 3.0
Instruction following specialist built on Llama 2 7B
Airoboros M 7B
General instruction-following model built on Mistral with structured math output
Cat Llama 3 70B Instruct
Immersive roleplay via strict prompt adherence, Llama 3 70B finetune
FuseChat Gemma 2 9B Instruct
General-purpose assistant distilled from four larger models into Gemma 2 9B
Frequently asked questions
Mixtral 8x7B Instruct v0.1 is too large for current iPhones. It runs on Mac with enough unified memory inside Private LLM, fully offline.
Yes. Mixtral 8x7B Instruct v0.1 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, Mixtral 8x7B Instruct v0.1 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 Mixtral 8x7B Instruct v0.1 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 Mixtral 8x7B Instruct v0.1 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 Mixtral 8x7B Instruct v0.1's Hugging Face model card, released under the Apache 2.0 license. Private LLM ships its own quantized models, built with OmniQuant quantization tuned per model, and isn't affiliated with the model's authors.