Specifications
As published
Every value opens its evidence (source, tier, observed time).
- Kind
Source:Apple — Mac tech specsT1observed 11 h agohigh
- Kind raw
- computer
- Spec sheet
Source:Apple — Mac tech specsT1observed 11 h agohigh
- Memory
Source:Apple — Mac tech specsT1observed 11 h agohigh
- Memory type
Source:Apple — Mac tech specsT1observed 11 h agohigh
- Product line
Source:Apple — Mac tech specsT1observed 11 h agohigh
- Memory bandwidth
Source:Apple — Mac tech specsT1observed 11 h agohigh
What can this run?
Models estimated to fit Estimated
Estimate from each model's parameter count, the chosen quantization and context — never a measurement.
EstimatedAll fit figures are estimates, not measurements.399 of 536 evaluated models fit
Assumptions (7)
- Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead (or the observed artifact file size when one is recorded).
- bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
- KV cache: 2 × layers × kv_heads × head_dim × 2 bytes × context × batch when the architecture is known; otherwise 0.5 GB per 8 192 tokens (× batch), independent of architecture (GQA/MLA models need less).
- A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
- Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
- Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
- Multi-GPU: device memories are summed; interconnect bandwidth, tensor-parallel replication and pipeline bubbles are not modelled.
This device ships in 3 memory configurations (16 / 24 / 32 GB). Estimates use 32 GB — pick another configuration above. Multiple units: use Run locally (memories are summed; interconnect is not modelled).
| Model | Params | Est. memory | Headroom | Fits | Breakdown | |
|---|---|---|---|---|---|---|
| Voxtral Small 24B 2507Open weightsMistral AI | 24.3B | 29.9 GB estimated | +0.1 GB | ✓ fits |
| |
| Devstral-Small-2-24B-Instruct-2512Open weightsMistral AI | 24B | 29.6 GB estimated | +0.4 GB | ✓ fits |
| |
| Mistral Small 3.1 24BOpen weightsMistral AI | 24B | 29.6 GB estimated | +0.4 GB | ✓ fits |
| |
| Mistral Small 3.2 24BOpen weightsMistral AI | 24B | 29.6 GB estimated | +0.4 GB | ✓ fits |
| |
| cerebras/GLM-4.7-Flash-REAP-23B-A3BOpen weightsCerebras Systems | 23B | 28.4 GB estimated | +1.6 GB | ✓ fits |
| |
| ERNIE-4.5-21B-A3B-PTOpen weightsBaidu | 21.9B | 27.2 GB estimated | +2.8 GB | ✓ fits |
| |
| ERNIE-4.5-21B-A3B-Base-PTOpen weightsBaidu | 21.8B | 27.1 GB estimated | +2.9 GB | ✓ fits |
| |
| ERNIE-4.5-21B-A3B-ThinkingOpen weightsBaidu | 21.8B | 27.1 GB estimated | +2.9 GB | ✓ fits |
| |
| gpt-oss-safeguard-20bOpen weightsOpenAI | 21.5B | 26.7 GB estimated | +3.3 GB | ✓ fits |
| |
| gpt-oss-20bOpen weightsOpenAI | 20.9B | 26.1 GB estimated | +4.0 GB | ✓ fits |
| |
| gpt-neox-20bOpen weightsEleutherAI | 20.7B | 25.9 GB estimated | +4.2 GB | ✓ fits |
| |
| internlm2-20bOpen weightsInternLM (Shanghai AI Laboratory) | 20B | 25.0 GB estimated | +5.0 GB | ✓ fits |
| |
| GPT-NeoXT-Chat-Base-20BOpen weightsTogether AI | 20B | 25.0 GB estimated | +5.0 GB | ✓ fits |
| |
| Qwen-Image-EditunknownQwen Team | 20B | 25.0 GB estimated | +5.0 GB | ✓ fits |
| |
| Qwen-ImageProprietaryQwen Team | 20B | 25.0 GB estimated | +5.0 GB | ✓ fits |
| |
| internlm2-base-20bOpen weightsInternLM (Shanghai AI Laboratory) | 20B | 25.0 GB estimated | +5.0 GB | ✓ fits |
| |
| internlm2-chat-20bOpen weightsInternLM (Shanghai AI Laboratory) | 19.9B | 24.8 GB estimated | +5.2 GB | ✓ fits |
| |
| pplx-qwen-3-8-27b-dflash2-20260819Open weightsPerplexity AI | 18.8B | 23.6 GB estimated | +6.4 GB | ✓ fits |
| |
| pplx-computer-qwen-3-8-27b-dflash2-20260824Open weightsPerplexity AI | 18.8B | 23.6 GB estimated | +6.4 GB | ✓ fits |
| |
| Kimi-VL-A3B-ThinkingOpen weightsMoonshot AI | 16.4B | 20.9 GB estimated | +9.1 GB | ✓ fits |
| |
| Kimi-VL-A3B-InstructOpen weightsMoonshot AI | 16.4B | 20.9 GB estimated | +9.1 GB | ✓ fits |
| |
| Kimi-VL-A3B-Thinking-2506Open weightsMoonshot AI | 16.4B | 20.9 GB estimated | +9.1 GB | ✓ fits |
| |
| Moonlight-16B-A3BOpen weightsMoonshot AI | 16B | 20.4 GB estimated | +9.7 GB | ✓ fits |
| |
| Moonlight-16B-A3B-InstructOpen weightsMoonshot AI | 16B | 20.4 GB estimated | +9.7 GB | ✓ fits |
| |
| DeepSeek-V2-LiteOpen weightsDeepSeek | 15.7B | 20.1 GB estimated | +9.9 GB | ✓ fits |
| |
| DeepSeek-Coder-V2-Lite-InstructOpen weightsDeepSeek | 15.7B | 20.1 GB estimated | +9.9 GB | ✓ fits |
| |
| BAGEL-7B-MoTOpen weightsByteDance | 14.7B | 18.9 GB estimated | +11.1 GB | ✓ fits |
| |
| Phi 4Open weightsMicrosoft | 14.7B | 18.9 GB estimated | +11.1 GB | ✓ fits |
| |
| Ministral 3 14B 2512Open weightsMistral AI | 13.9B | 18.0 GB estimated | +12.0 GB | ✓ fits |
| |
| Ministral-3-14B-Reasoning-2512Open weightsMistral AI | 13.9B | 18.0 GB estimated | +12.0 GB | ✓ fits |
| |
| FireLLaVA-13brestricted-weightsFireworks AI | 13.3B | 17.4 GB estimated | +12.7 GB | ✓ fits |
| |
| Llama-2-13b-chat-hfrestricted-weightsMeta AI | 13B | 17.0 GB estimated | +13.0 GB | ✓ fits |
| |
| aya-101Open weightsCohere | 12.9B | 16.9 GB estimated | +13.1 GB | ✓ fits |
| |
| Mistral NemoOpen weightsMistral AI | 12.3B | 16.1 GB estimated | +13.9 GB | ✓ fits |
| |
| Mistral-Nemo-Base-2407Open weightsMistral AI | 12.3B | 16.1 GB estimated | +13.9 GB | ✓ fits |
| |
| gemma-4-12B-itOpen weightsGoogle | 12B | 15.8 GB estimated | +14.3 GB | ✓ fits |
| |
| FLUX.1-Fill-devOpen weightsBlack Forest Labs | 11.9B | 15.7 GB estimated | +14.3 GB | ✓ fits |
| |
| FLUX.1-Kontext-devOpen weightsBlack Forest Labs | 11.9B | 15.7 GB estimated | +14.3 GB | ✓ fits |
| |
| FLUX.1-devOpen weightsBlack Forest Labs | 11.9B | 15.7 GB estimated | +14.3 GB | ✓ fits |
| |
| FLUX.1-Krea-devOpen weightsBlack Forest Labs | 11.9B | 15.7 GB estimated | +14.3 GB | ✓ fits |
| |
| FLUX.1-schnellOpen weightsBlack Forest Labs | 11.9B | 15.7 GB estimated | +14.3 GB | ✓ fits |
| |
| KaLM-Embedding-Gemma3-12B-2511Open weightsTencent | 11.8B | 15.5 GB estimated | +14.5 GB | ✓ fits |
| |
| Nous-Hermes-2-SOLAR-10.7BOpen weightsNous Research | 10.7B | 14.3 GB estimated | +15.7 GB | ✓ fits |
| |
| Llama-3.2-11B-Vision-Instructrestricted-weightsMeta AI | 10.7B | 14.3 GB estimated | +15.7 GB | ✓ fits |
| |
| GLM-4.6V-FlashOpen weightsZ.ai (Zhipu AI) | 10.3B | 13.8 GB estimated | +16.2 GB | ✓ fits |
| |
| GLM-4.1V-9B-ThinkingOpen weightsZ.ai (Zhipu AI) | 10.3B | 13.8 GB estimated | +16.2 GB | ✓ fits |
| |
| Kimi-Audio-7BOpen weightsMoonshot AI | 9.77B | 13.2 GB estimated | +16.8 GB | ✓ fits |
| |
| Kimi-Audio-7B-InstructOpen weightsMoonshot AI | 9.77B | 13.2 GB estimated | +16.8 GB | ✓ fits |
| |
| Qwen3.5-9BOpen weightsQwen | 9.65B | 13.1 GB estimated | +16.9 GB | ✓ fits |
| |
| glm-4-9b-chatOpen weightsZ.ai (Zhipu AI) | 9.4B | 12.8 GB estimated | +17.2 GB | ✓ fits |
| |
| academic-ds-9BOpen weightsByteDance | 9.37B | 12.8 GB estimated | +17.2 GB | ✓ fits |
| |
| FLUX.2-klein-base-9BOpen weightsBlack Forest Labs | 9.08B | 12.4 GB estimated | +17.6 GB | ✓ fits |
| |
| FLUX.2-klein-9BOpen weightsBlack Forest Labs | 9.08B | 12.4 GB estimated | +17.6 GB | ✓ fits |
| |
| FLUX.2-klein-9b-kvOpen weightsBlack Forest Labs | 9.08B | 12.4 GB estimated | +17.6 GB | ✓ fits |
| |
| Qianfan-VL-8BOpen weightsBaidu | 8.81B | 12.1 GB estimated | +17.9 GB | ✓ fits |
| |
| internlm3-8b-instructOpen weightsInternLM (Shanghai AI Laboratory) | 8.8B | 12.1 GB estimated | +17.9 GB | ✓ fits |
| |
| granite-4.1-8bOpen weightsIBM | 8.79B | 12.1 GB estimated | +17.9 GB | ✓ fits |
| |
| Qwen3 VL 8B InstructOpen weightsQwen | 8.77B | 12.1 GB estimated | +17.9 GB | ✓ fits |
| |
| VibeVoice-ASROpen weightsMicrosoft | 8.67B | 12.0 GB estimated | +18.0 GB | ✓ fits |
| |
| Molmo2-8BOpen weightsAllen Institute for AI | 8.66B | 12.0 GB estimated | +18.0 GB | ✓ fits |
| |
| aya-vision-8brestricted-weightsCohere | 8.63B | 11.9 GB estimated | +18.1 GB | ✓ fits |
| |
| Intern-S1-miniOpen weightsInternLM (Shanghai AI Laboratory) | 8.54B | 11.8 GB estimated | +18.2 GB | ✓ fits |
| |
| GKA-primed-HQwen3-8B-ReasonerOpen weightsAmazon Web Services | 8.5B | 11.8 GB estimated | +18.2 GB | ✓ fits |
| |
| GDN-primed-HQwen3-8B-InstructOpen weightsAmazon Web Services | 8.5B | 11.8 GB estimated | +18.2 GB | ✓ fits |
| |
| LFM2.5-8B-A1BOpen weightsLiquid AI | 8.47B | 11.7 GB estimated | +18.3 GB | ✓ fits |
| |
| Qwen2.5-VL-7B-InstructOpen weightsQwen | 8.29B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| UI-TARS 7BOpen weightsByteDance | 8.29B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| olmOCR-2-7B-1025Open weightsAllen Institute for AI | 8.29B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| UI-TARS-7B-SFTOpen weightsByteDance | 8.29B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| UI-TARS-7B-DPOOpen weightsByteDance | 8.29B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| Seed-Coder-8B-ReasoningOpen weightsByteDance | 8.25B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| Seed-Coder-8B-InstructOpen weightsByteDance | 8.25B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| Stable-DiffCoder-8B-InstructOpen weightsByteDance | 8.25B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| Stable-DiffCoder-8B-BaseOpen weightsByteDance | 8.25B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| Seed-Coder-8B-BaseOpen weightsByteDance | 8.25B | 11.5 GB estimated | +18.5 GB | ✓ fits |
| |
| DeepSeek-R1-0528-Qwen3-8BOpen weightsDeepSeek | 8.19B | 11.4 GB estimated | +18.6 GB | ✓ fits |
| |
| Qwen3 8BOpen weightsQwen | 8.19B | 11.4 GB estimated | +18.6 GB | ✓ fits |
| |
| granite-guardian-3.3-8bOpen weightsIBM | 8.17B | 11.4 GB estimated | +18.6 GB | ✓ fits |
| |
| granite-3.0-8b-instructOpen weightsIBM | 8.17B | 11.4 GB estimated | +18.6 GB | ✓ fits |
| |
| stable-diffusion-3.5-largeOpen weightsStability AI | 8.15B | 11.4 GB estimated | +18.6 GB | ✓ fits |
| |
| ERNIE-Image-TurboOpen weightsBaidu | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| ERNIE-ImageOpen weightsBaidu | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Meta-Llama-3-8Brestricted-weightsMeta AI | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| NousResearch/Meta-Llama-3-8B-InstructOpen weightsNous Research | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Hermes-2-Theta-Llama-3-8BOpen weightsNous Research | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| NousResearch/Meta-Llama-3.1-8Brestricted-weightsNous Research | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Llama 3.1 8Brestricted-weightsMeta AI | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| NousResearch/Meta-Llama-3-8BOpen weightsNous Research | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Hermes-3-Llama-3.1-8Brestricted-weightsNous Research | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| NousResearch/Meta-Llama-3.1-8B-Instructrestricted-weightsNous Research | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Llama 3.1 8B Instructrestricted-weightsMeta AI | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Salesforce/Llama-xLAM-2-8b-fc-rrestricted-weightsSalesforce | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Meta-Llama-3-8B-Instructrestricted-weightsMeta AI | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Hy-MT2-7BOpen weightsTencent | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| aya-23-8Brestricted-weightsCohere | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| aya-expanse-8brestricted-weightsCohere | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| c4ai-command-r7b-12-2024restricted-weightsCohere | 8.03B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Ministral-8B-Instruct-2410Open weightsMistral AI | 8.02B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| Robostral NavigateProprietaryMistral AI | 8B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| gemma-4-E4B-itOpen weightsGoogle | 8B | 11.2 GB estimated | +18.8 GB | ✓ fits |
| |
| ERNIE-Image-AesOpen weightsBaidu | 7.94B | 11.1 GB estimated | +18.9 GB | ✓ fits |
| |
| internlm2_5-7b-chatOpen weightsInternLM (Shanghai AI Laboratory) | 7.74B | 10.9 GB estimated | +19.1 GB | ✓ fits |
| |
| internlm2-chat-7bOpen weightsInternLM (Shanghai AI Laboratory) | 7.74B | 10.9 GB estimated | +19.1 GB | ✓ fits |
| |
| StripedHyena-Hessian-7BOpen weightsTogether AI | 7.65B | 10.8 GB estimated | +19.2 GB | ✓ fits |
| |
| StripedHyena-Nous-7BOpen weightsTogether AI | 7.65B | 10.8 GB estimated | +19.2 GB | ✓ fits |
| |
| SynLogic-7BOpen weightsMiniMax | 7.62B | 10.8 GB estimated | +19.2 GB | ✓ fits |
| |
| Qwen2.5 7B InstructOpen weightsQwen | 7.62B | 10.8 GB estimated | +19.2 GB | ✓ fits |
| |
| BFS-Prover-V2-7BOpen weightsByteDance | 7.62B | 10.8 GB estimated | +19.2 GB | ✓ fits |
| |
| DeepSeek-R1-Distill-Qwen-7BOpen weightsDeepSeek | 7.62B | 10.8 GB estimated | +19.2 GB | ✓ fits |
| |
| Seed-X-PPO-7BOpen weightsByteDance | 7.51B | 10.6 GB estimated | +19.4 GB | ✓ fits |
| |
| Hunyuan-7B-InstructOpen weightsTencent | 7.5B | 10.6 GB estimated | +19.4 GB | ✓ fits |
| |
| OLMo-2-1124-7B-InstructOpen weightsAllen Institute for AI | 7.3B | 10.4 GB estimated | +19.6 GB | ✓ fits |
| |
| OLMo-2-1124-7BOpen weightsAllen Institute for AI | 7.3B | 10.4 GB estimated | +19.6 GB | ✓ fits |
| |
| Olmo-3-7B-InstructOpen weightsAllen Institute for AI | 7.3B | 10.4 GB estimated | +19.6 GB | ✓ fits |
| |
| Olmo-3-7B-ThinkOpen weightsAllen Institute for AI | 7.3B | 10.4 GB estimated | +19.6 GB | ✓ fits |
| |
| Olmo-3-1025-7BOpen weightsAllen Institute for AI | 7.3B | 10.4 GB estimated | +19.6 GB | ✓ fits |
| |
| wildguardOpen weightsAllen Institute for AI | 7.25B | 10.3 GB estimated | +19.7 GB | ✓ fits |
| |
| Mistral-7B-v0.3Open weightsMistral AI | 7.25B | 10.3 GB estimated | +19.7 GB | ✓ fits |
| |
| Mistral-7B-Instruct-v0.3Open weightsMistral AI | 7.25B | 10.3 GB estimated | +19.7 GB | ✓ fits |
| |
| Mistral-7B-v0.1Open weightsMistral AI | 7.24B | 10.3 GB estimated | +19.7 GB | ✓ fits |
|
First 120 models (fitting first). The full list is in Run locally.
MethodEstimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead (or the observed artifact file size when one is recorded). /methodology
Relations
In the graph
Timeline
Events
No events yet
Sources
Where these facts come from
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.