will it local
Turing TU117 without tensor cores — dp4a kernels only 4GB: 3B/4B Q4 full, 8B Q4 offloads GDDR6 variant of 1650 exists on desktop — mobile is GDDR5 128.1 GB/s
⚠ Laptop part — mobile clocks and thermals run below desktop sibling speeds; treat the band as optimistic for sustained load.
→explore the full catalogupgrade paths with live prices · what fits on each machinecomputed band 12.0-18.0 tok/s for 8B Q4_K_M (roofline, 128.1 GB/s VRAM)
Effective decode window: 0.48–0.72 of 128.1 GB/s nominal → ~61–92 GB/s effective (llama.cpp decode, Q4_K_M basis; arch window, community-calibrated)
→ 13b-q4 no 14.6 GB vs 4 GB usable — does not fit
→ 3b-q4 full 2.8 GB needed of 4 GB usable — headroom for context
→ 4b-q4 tight 3.7 of 4 GB usable — keep context modest
→ 8b-q4 no 6.1 GB vs 4 GB usable — does not fit
no single-card bench published — band is computed (see notes)
Nominal bandwidth: 128.1 GB/s — see the effective decode window above
→ qwen3:0.6b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 0.6B · 0.6GB · needs ~1GB (4k ctx)
→ qwen3:1.7b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 1.7B · 1.4GB · needs ~1.8GB (4k ctx)
→ qwen3:4b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 4B · 2.6GB · needs ~3.2GB (4k ctx)
→ llama3.2:1b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 1B · 1.3GB · needs ~1.4GB (4k ctx)
→ llama3.2:3b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 3B · 2.0GB · needs ~2.4GB (4k ctx)
→ gemma3:1b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 1B · 1.0GB · needs ~1.1GB (4k ctx)
→ phi4:mini on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) mini 3.8B · 2.5GB · needs ~3GB (4k ctx)
→ moondream:2b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 2B · 1.7GB · needs ~3.7GB (4k ctx)
→ whisper:tiny on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) tiny · 0.1GB · needs ~2.1GB (4k ctx)
→ whisper on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) base · 0.3GB · needs ~2.3GB (4k ctx)
→ whisper:small on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) small · 0.9GB · needs ~2.9GB (4k ctx)
→ kokoro:82m on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 82M · 0.3GB · needs ~2.3GB (4k ctx)
→ gemma3:4b on Raspberry Pi 5 + AI Kit (Hailo-8L) ($110) 4B · 3.3GB · needs ~3.8GB (4k ctx)
→ deepseek-r1:7b distill 7B — 4.9 GB vs 4 GB usable — partial CPU offload, expect large speed loss
→ mistral:7b 7B — 4.6 GB vs 4 GB usable — partial CPU offload, expect large speed loss
⚠ Turing TU117 without tensor cores — dp4a kernels only
⚠ 4GB: 3B/4B Q4 full, 8B Q4 offloads
⚠ GDDR6 variant of 1650 exists on desktop — mobile is GDDR5 128.1 GB/s
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