Mac zenye GB 192
Chipu 1 kuanzia M2 huja na GB 192. Fungua yoyote kuona orodha na kasi zake.
Zinaenda vizuri 56
Inatosha na kubakiza nafasi ya context, kwa tokeni 10 au zaidi kwa sekunde kwenye M2 Ultra.
| Modeli | Toleo | Kumbukumbu | Tokeni/s |
|---|---|---|---|
| Qwen3.8 Flash Next180B · 6B zinazotumika · Akili 39.8 | 4-bit | 101 GB | 106–188 |
| Qwen3.8 27B27B · Akili 33.7 | 8-bit | 28.7 GB | 13–22 |
| Nemotron 3.5 Bolt 74B A9B74B · 9B zinazotumika · Akili 21.4 | 8-bit | 78.6 GB | 38–67 |
| Qwen3.6 35B A3B35B · 3B zinazotumika · Akili 18.2 | 8-bit | 37.2 GB | 113–200 |
| Muse Glimmer 30B29.6B · Akili 17.5 | 8-bit | 31.5 GB | 11–20 |
| Qwen3.5 122B A10B122B · 10B zinazotumika · Akili 15.6 | 8-bit | 130 GB | 34–60 |
| Gemma 4 31B30.7B · Akili 14.7 | 8-bit | 32.6 GB | 11–20 |
| Nemotron 3.5 Lightning 30B A3B30B · 3B zinazotumika · Akili 12.9 | 8-bit | 31.9 GB | 113–200 |
| Granite 4.2 30B30B · Akili 12.7 | 8-bit | 31.9 GB | 11–20 |
| MiniCPM5 2B2.52B · Akili 12.5 | 8-bit | 2.7 GB | 133–237 |
| gpt-oss-120b117B · 5.1B zinazotumika · Akili 11.6 | 4.25-bit asili | 65.3 GB | 133–237 |
| Mistral Small 4 (119B)119B · 6.5B zinazotumika · Akili 11.3 | 8-bit | 126 GB | 52–93 |
| Qwen3.5 9B9B · Akili 11.2 | 8-bit | 9.6 GB | 38–67 |
| Granite 4.2 8B8B · Akili 11.1 | 8-bit | 8.5 GB | 42–75 |
| Qwen3 Coder Next80B · 3B zinazotumika · Akili 9.2 | 8-bit | 85 GB | 113–200 |
| Granite 4.2 3B3B · Akili 9.1 | 8-bit | 3.2 GB | 113–200 |
| gpt-oss-20b21B · 3.6B zinazotumika · Akili 9 | 4.25-bit asili | 13.8 GB | 189–337 |
| Nemotron 3 Nano 30B A3B30B · 3.5B zinazotumika · Akili 8.9 | 8-bit | 31.9 GB | 97–173 |
| Gemma 4 E4B8B · Akili 8.9 | 8-bit | 8.5 GB | 75–133 |
| Llama 4 Scout 17B-16E Instruct109B · 17B zinazotumika · Akili 6.5 | 8-bit | 116 GB | 20–35 |
| Ministral 3 8B8.9B · Akili 5.5 | 8-bit | 9.5 GB | 38–67 |
| Nemotron 3 Nano 4B3.97B · Akili 4.8 | 8-bit | 4.2 GB | 86–152 |
| MiniMax M2.7230B · 10B zinazotumika | 4-bit | 129 GB | 64–114 |
| Ornith 1.5 122B122B · 10B zinazotumika | 8-bit | 130 GB | 34–60 |
| Nemotron 3 Super 120B A12B120B · 12B zinazotumika | 8-bit | 128 GB | 28–50 |
| GLM-4.5 Air106B · 12B zinazotumika | 8-bit | 113 GB | 28–50 |
| Qwen3 Coder 30B A3B Instruct30.5B · 3.3B zinazotumika | 8-bit | 32.4 GB | 103–183 |
| GLM-4.7 Flash30B · 3B zinazotumika | 8-bit | 31.9 GB | 113–200 |
| Qwen3.6 27B27B | 8-bit | 28.7 GB | 13–22 |
| Gemma 4 26B A4B25.2B · 3.8B zinazotumika | 8-bit | 26.8 GB | 90–160 |
| Devstral Small 2 (24B)24B | 8-bit | 25.5 GB | 14–25 |
| Magistral Small 1.2 (2509)24B | 8-bit | 25.5 GB | 14–25 |
| Mistral Small 3.2 (24B)24B | 8-bit | 25.5 GB | 14–25 |
| LFM2.5 24B A2B24B · 2B zinazotumika | 8-bit | 25.5 GB | 171–305 |
| Phi-4 Reasoning Vision 15B15B | 8-bit | 15.9 GB | 23–40 |
| Phi-4 (14B)14B | 8-bit | 14.9 GB | 24–43 |
| Gemma 4 12B Unified12B | 8-bit | 12.7 GB | 28–50 |
| Qwen3 8B8.2B | 8-bit | 8.7 GB | 41–74 |
| Llama 3.1 8B Instruct8B | 8-bit | 8.5 GB | 42–75 |
| Gemma 4 E2B5.1B | 8-bit | 5.4 GB | 150–267 |
| Qwen3.5 4B4B | 8-bit | 4.3 GB | 84–149 |
| Phi-4 mini instruct3.8B | 8-bit | 4 GB | 90–160 |
| Llama 3.2 3B Instruct3.21B | 8-bit | 3.4 GB | 106–188 |
| SmolLM3 3B3B | 8-bit | 3.2 GB | 113–200 |
| LFM2.5 2.6B2.69B | 8-bit | 2.9 GB | 124–221 |
| Qwen3.5 2B2B | 8-bit | 2.1 GB | 171–305 |
| Llama 3.2 1B Instruct1.23B | 8-bit | 1.3 GB | 277–492 |
| Qwen3.5 0.8B0.8B | 8-bit | 0.9 GB | 400–711 |
| Qwen3 0.6B0.6B | 8-bit | 0.6 GB | 600–1067 |
| GLM-5.3 Flash320B · 18B zinazotumika · Akili 41.8 | 2-bit ubora wa chini | 100 GB | 64–114 |
| MiMo V2.6 Flash309B · 15B zinazotumika · Akili 37.9 | 2-bit ubora wa chini | 96.6 GB | 77–136 |
| Inkling Small276B · 12B zinazotumika · Akili 25.7 | 3-bit ubora wa chini | 121 GB | 68–121 |
| Hy3295B · 21B zinazotumika · Akili 25.3 | 3-bit ubora wa chini | 129 GB | 39–70 |
| Qwen3.5 397B A17B397B · 17B zinazotumika · Akili 18.4 | 2-bit ubora wa chini | 124 GB | 68–121 |
| Llama 4 Maverick 17B-128E Instruct400B · 17B zinazotumika · Akili 9.3 | 2-bit ubora wa chini | 125 GB | 68–121 |
| DeepSeek V4 Flash 0731284B · 13B zinazotumika | 3-bit ubora wa chini | 124 GB | 63–112 |
Zinaenda, lakini polepole 3
Inatosha, lakini chini ya tokeni 10 kwa sekunde: sawa kwa kazi za kundi, polepole kwa mazungumzo.
| Modeli | Toleo | Kumbukumbu | Tokeni/s |
|---|---|---|---|
| Mistral Medium 3.5 (128B)128B · Akili 14.2 | 6-bit | 104 GB | 3–6 |
| Devstral 2 (123B)123B | 8-bit | 131 GB | 3–5 |
| Llama 3.3 70B Instruct70B | 8-bit | 74.4 GB | 5–9 |
Zinatosha kwa shida 2
Inahitaji karibu kumbukumbu yote: ongeza kikomo cha kumbukumbu ya GPU na weka context fupi.
| Modeli | Toleo | Kumbukumbu | Tokeni/s |
|---|---|---|---|
| Beam 1.0501B · 23B zinazotumika · Akili 30.3 | 2-bit ubora wa chini | 157 GB | 50–89 |
| MiniMax M3428B · 23B zinazotumika · Akili 29.2 | 2-bit ubora wa chini | 134 GB | 50–89 |
Kubwa mno 12
Inahitaji kumbukumbu zaidi ya GB 192, hata kwa biti 2.
Maswali
- LLM ipi ni bora kwa Mac yenye GB 192?
- Miongoni mwa modeli zenye Intelligence Index iliyochapishwa, Qwen3.8 Flash Next ina alama ya juu zaidi kati ya zile zinazoenda vizuri ndani ya GB 192 (4-bit). Kubwa zaidi inayoenda vizuri ni MiniMax M2.7. Kwa code: Qwen3 Coder Next.
- Je, GB 192 zinatosha kwa AI ya ndani kwenye Mac?
- Modeli huria 49 kati ya 73 zilizo hapa zinaenda vizuri ndani yake kwa biti 4 au zaidi. Kwa chaguo-msingi macOS huiruhusu GPU kutumia takriban GB 144 kati yake; modeli na context yake lazima zitoshe humo.
- Je, Mac ya GB 192 inaweza kuendesha gpt-oss-20b?
- Ndiyo, 4.25-bit asili, kwa takriban tokeni 189–337 kwa sekunde kwenye M2 Ultra.
Ukubwa mwingine: 8 GB · 16 GB · 18 GB · 24 GB · 32 GB · 36 GB · 48 GB · 64 GB · 96 GB · 128 GB · 192 GB · 256 GB · 512 GB
Ziendeshe kwa MLX Harness (bure, open source) au mlx-lm ya Apple ndani ya Terminal: hatua kwa hatua.
Jinsi inavyokokotolewa
Kumbukumbu: vigezo vya modeli kwa biti 8, 6, 4, 3 au 2 kwa kila weight pamoja na group scales za MLX (nusu biti kwa kila weight), au muundo wake asili, pamoja na nafasi ya context juu yake. Kwa chaguo-msingi macOS huiruhusu GPU kutumia takriban 75% ya unified memory. Kasi: bandwidth ya kumbukumbu ikigawanywa kwa baiti zinazosomwa kwa kila tokeni ndiyo kikomo cha juu kwa mazungumzo moja; katika benchmarks za umma za llama.cpp kwenye Apple Silicon uendeshaji halisi hufikia takriban 45% hadi 80% yake, na huo ndio upana unaoonyeshwa. Haya ni makadirio, si vipimo: pima Mac yako mwenyewe kwenye MLX Bench. Takwimu za modeli ni kutoka kwa kadi rasmi ya kila modeli, takwimu za chipu ni kutoka Tech Specs za Apple. Imekaguliwa 2026-10-19. Data ileile ya mlx.app/compare.