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M4 Pro yenye GB 64 inaweza kuendesha nini?

Modeli huria 31 kati ya 73 zinaenda vizuri juu yake. Kwa chaguo-msingi GPU inaweza kutumia takriban GB 48 kati ya GB 64 zake, na husoma kumbukumbu kwa 273 GB/s, jambo linaloamua kasi yake ya kuandika. Inapatikana katika: Mac mini (2024), MacBook Pro (14-inch, M4 Pro or M4 Max, 2024), MacBook Pro (16-inch, 2024).

Yenye akili zaidi inayoenda vizuriNemotron 3.5 Bolt 74B A9B4-bit · 41.6 GB · 24–43 tok/sKubwa zaidi inayoenda vizuriNemotron 3.5 Bolt 74B A9B4-bit · 41.6 GB · 24–43 tok/sKwa kuandika codeQwen3 Coder 30B A3B Instruct8-bit · 32.4 GB · 35–62 tok/s

Zinaenda vizuri 39

Inatosha na kubakiza nafasi ya context, kwa tokeni 10 au zaidi kwa sekunde.

ModeliToleoKumbukumbuTokeni/s
Nemotron 3.5 Bolt 74B A9B74B · 9B zinazotumika · Akili 21.44-bit41.6 GB24–43
Qwen3.6 35B A3B35B · 3B zinazotumika · Akili 18.28-bit37.2 GB38–68
Nemotron 3.5 Lightning 30B A3B30B · 3B zinazotumika · Akili 12.98-bit31.9 GB38–68
MiniCPM5 2B2.52B · Akili 12.58-bit2.7 GB45–81
Qwen3.5 9B9B · Akili 11.28-bit9.6 GB13–23
Granite 4.2 8B8B · Akili 11.18-bit8.5 GB14–26
Granite 4.2 3B3B · Akili 9.18-bit3.2 GB38–68
gpt-oss-20b21B · 3.6B zinazotumika · Akili 94.25-bit asili13.8 GB65–115
Nemotron 3 Nano 30B A3B30B · 3.5B zinazotumika · Akili 8.98-bit31.9 GB33–59
Gemma 4 E4B8B · Akili 8.98-bit8.5 GB26–46
Ministral 3 8B8.9B · Akili 5.58-bit9.5 GB13–23
Nemotron 3 Nano 4B3.97B · Akili 4.88-bit4.2 GB29–52
Qwen3 Coder 30B A3B Instruct30.5B · 3.3B zinazotumika8-bit32.4 GB35–62
GLM-4.7 Flash30B · 3B zinazotumika8-bit31.9 GB38–68
Gemma 4 26B A4B25.2B · 3.8B zinazotumika8-bit26.8 GB31–55
LFM2.5 24B A2B24B · 2B zinazotumika8-bit25.5 GB59–104
Phi-4 Reasoning Vision 15B15B6-bit12.2 GB10–18
Phi-4 (14B)14B6-bit11.4 GB11–19
Gemma 4 12B Unified12B8-bit12.7 GB10–17
Qwen3 8B8.2B8-bit8.7 GB14–25
Llama 3.1 8B Instruct8B8-bit8.5 GB14–26
Gemma 4 E2B5.1B8-bit5.4 GB51–91
Qwen3.5 4B4B8-bit4.3 GB29–51
Phi-4 mini instruct3.8B8-bit4 GB31–55
Llama 3.2 3B Instruct3.21B8-bit3.4 GB36–64
SmolLM3 3B3B8-bit3.2 GB38–68
LFM2.5 2.6B2.69B8-bit2.9 GB42–75
Qwen3.5 2B2B8-bit2.1 GB59–104
Llama 3.2 1B Instruct1.23B8-bit1.3 GB95–168
Qwen3.5 0.8B0.8B8-bit0.9 GB137–243
Qwen3 0.6B0.6B8-bit0.6 GB205–364
Qwen3.5 122B A10B122B · 10B zinazotumika · Akili 15.62-bit ubora wa chini38.1 GB40–70
gpt-oss-120b117B · 5.1B zinazotumika · Akili 11.62-bit ubora wa chini36.6 GB77–137
Mistral Small 4 (119B)119B · 6.5B zinazotumika · Akili 11.32-bit ubora wa chini37.2 GB61–109
Qwen3 Coder Next80B · 3B zinazotumika · Akili 9.23-bit ubora wa chini35 GB95–168
Llama 4 Scout 17B-16E Instruct109B · 17B zinazotumika · Akili 6.52-bit ubora wa chini34.1 GB23–41
Ornith 1.5 122B122B · 10B zinazotumika2-bit ubora wa chini38.1 GB40–70
Nemotron 3 Super 120B A12B120B · 12B zinazotumika2-bit ubora wa chini37.5 GB32–57
GLM-4.5 Air106B · 12B zinazotumika2-bit ubora wa chini33.1 GB32–57

Zinaenda, lakini polepole 11

Inatosha, lakini chini ya tokeni 10 kwa sekunde: sawa kwa kazi za kundi, polepole kwa mazungumzo.

ModeliToleoKumbukumbuTokeni/s
Qwen3.8 27B27B · Akili 33.78-bit28.7 GB4–8
Muse Glimmer 30B29.6B · Akili 17.58-bit31.5 GB4–7
Gemma 4 31B30.7B · Akili 14.78-bit32.6 GB4–7
Granite 4.2 30B30B · Akili 12.78-bit31.9 GB4–7
Llama 3.3 70B Instruct70B4-bit39.4 GB3–6
Qwen3.6 27B27B8-bit28.7 GB4–8
Devstral Small 2 (24B)24B8-bit25.5 GB5–9
Magistral Small 1.2 (2509)24B8-bit25.5 GB5–9
Mistral Small 3.2 (24B)24B8-bit25.5 GB5–9
Mistral Medium 3.5 (128B)128B · Akili 14.22-bit ubora wa chini40 GB3–5
Devstral 2 (123B)123B2-bit ubora wa chini38.4 GB3–6

Kubwa mno 23

Inahitaji kumbukumbu zaidi ya GB 64, hata kwa biti 2.

Mac nyingine

Kila Mac yenye GB 64, ya chipu yoyote.

M4 Pro yenye kumbukumbu zaidi au kidogo:

Chipu jirani:

Ana kwa ana:

Dhidi ya PC na kadi za michoro:

Ilinganishe na Mac au GPU yoyote · M4 Pro kwa AI ya ndani ya kifaa · Mac bora kwa LLM za ndani · Kila Mac

Maswali

LLM ipi ni bora kwa M4 Pro yenye GB 64?
Miongoni mwa modeli zenye Intelligence Index iliyochapishwa, Nemotron 3.5 Bolt 74B A9B ina alama ya juu zaidi kati ya zile zinazoenda vizuri hapa: 4-bit, takriban tokeni 24–43 kwa sekunde.
Je, M4 Pro yenye GB 64 inaweza kuendesha Llama 3.3 70B?
Ndiyo, lakini polepole: 4-bit, kwa takriban tokeni 3–6 kwa sekunde.
gpt-oss-20b ina kasi gani kwenye M4 Pro?
Takriban tokeni 65–115 kwa sekunde (4.25-bit asili), kutokana na bandwidth ya kumbukumbu ya chipu ya 273 GB/s.

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.

M4 Pro yenye GB 64 inaendesha LLM zipi? Modeli na kasi