Vote in Free Arena

All models › briaai

fibo-scene-analyzer

briaai · released 10 Sept 2026

Download New · waiting for Arena votes
Arena score—Not voted on Arena yet
Size36 B4.7 B active per token (mixture of experts)
4-bit download22 GBweights only, Q4_K_M
Max context256Ktokens, from the model config

Where to use it for free

New: waiting for Arena votes

Released on 10 Sept 2026. Arena has not voted on this model yet. As soon as it does, the model moves into the ranking automatically, usually the next night. Until then you can still check its size, memory needs and speed below.

Speed on popular hardware

HardwareGPU memoryFits?Speed
RTX 3060 12 GB12 GBGPU + 64 GB RAM34 tok/s
RTX 4060 Ti 16 GB16 GBGPU + 64 GB RAM38 tok/s
RTX 309024 GBFits in GPU131 tok/s
RTX 409024 GBFits in GPU137 tok/s
RTX 509032 GBFits in GPU188 tok/s
RX 7900 XTX24 GBFits in GPU133 tok/s
2 × RTX 309048 GBFits in GPU127 tok/s
4 × RTX 309096 GBFits in GPU120 tok/s
Mac M4 Max 128 GB96 GBFits in GPU68 tok/s
Ryzen AI Max+ 395 128 GB96 GBFits in GPU49 tok/s
8 × H100 SXM640 GBFits in GPU199 tok/s

Estimate at 4-bit with 32K context, 64 GB of DDR5 for offload. Speed ≈ memory bandwidth × 78% ÷ data read per token, plus a fixed cost per token, calibrated on 44 real llama.cpp tests; typical error about ±10%. Compare all GPUs.

GPU memory needed

Level8K context32K context128K contextQuality vs full
Q3_K_M19 GB19 GB21 GB+6.5% noticeable loss
Q4_K_M23 GB23 GB25 GB+1.7% small loss
Q5_K_M26 GB27 GB29 GB+0.6% near-lossless
Q6_K30 GB31 GB33 GB+0.2% near-lossless
Q8_039 GB40 GB42 GB≈ 0% same as full
F1673 GB73 GB75 GB≈ 0% same as full

Weights + context cache (from the model's architecture) + runtime. Quality: increase in perplexity against the full model, from llama.cpp tests, scaled by model size. Simulate your own setup.

Share this page:XLinkedInRedditWhatsApp

Press / or Ctrl+K to search from any page.