Yi-Coder-1.5B · legraphista

Yi-Coder-1.5B Q3_K_S

This file is exactly 723,410,560 bytes — 0.67 GiB / 0.72 GB at an effective 3.920 bits per weight. The nominal rate for Q3_K_S is lower; mixed-precision tensors make the real figure higher, always.

From the file· 1 file(s), summed

Get it

0.67 GiB · 1 file
llama.cpp
llama-cli -hf legraphista/Yi-Coder-1.5B-IMat-GGUF:Q3_K_S

Downloads and runs in one step, resolving the quantization by name.

Hugging Face CLI
hf download legraphista/Yi-Coder-1.5B-IMat-GGUF Yi-Coder-1.5B.Q3_K_S.gguf
Direct download

Straight from the Hugging Face CDN — we host nothing and earn nothing from this. Verify what you received against the exact byte count above; a size mismatch is the usual cause of a file that will not load.

Size
0.67 GiB
0.72 GB
Effective bpw
3.920
from real bytes ÷ params
Tensors
Header
GGUF metadata

Fit by accelerator

AcceleratorMemoryTotal @4KTotal @32KFitstok/s @4K
Arc A310 4GB4 GB2.21 GiB7.46 GiByes4K only44±30%
Arc A350M 4GB4 GB2.21 GiB7.46 GiByes4K only40±30%
Arc A370M 4GB4 GB2.21 GiB7.46 GiByes4K only40±30%
Arc A530M 4GB4 GB2.21 GiB7.46 GiByes4K only75±30%
Arc Pro A30M 4GB4 GB2.21 GiB7.46 GiByes4K only40±30%
Radeon Pro W64004 GB2.31 GiB7.56 GiByes4K only54±26.5%
Radeon RX 64004 GB2.31 GiB7.56 GiByes4K only54±26.5%
Radeon RX 6500 XT4 GB2.31 GiB7.56 GiByes4K only60±26.5%
RTX A4004 GB2.41 GiB7.66 GiByes4K only38±22%
Arc A380 6GB6 GB2.21 GiB7.46 GiByes4K only64±30%
Arc Pro A40 6GB6 GB2.21 GiB7.46 GiByes4K only65±30%
Arc Pro A50 6GB6 GB2.21 GiB7.46 GiByes4K only65±30%
GeForce RTX 20606 GB2.21 GiB7.46 GiByes4K only154±12.9%
GeForce RTX 30506 GB2.21 GiB7.46 GiByes4K only81±12.9%
GeForce RTX 3060 OEM6 GB2.21 GiB7.46 GiByes4K only154±12.9%
RTX A20006 GB2.41 GiB7.66 GiByes4K only109±22%
Apple M18 GB1.96 GiB7.21 GiByes4K only33±8.3%
Apple M28 GB1.96 GiB7.21 GiByes4K only45±8.3%
Apple M38 GB1.96 GiB7.21 GiByes4K only45±8.3%
Apple M48 GB1.96 GiB7.21 GiByes4K only50±8.3%
Arc A530M 8GB8 GB2.21 GiB7.46 GiByes4K only75±30%
Arc A550M 8GB8 GB2.21 GiB7.46 GiByes4K only75±30%
Arc A570M 8GB8 GB2.21 GiB7.46 GiByes4K only75±30%
Arc A580 8GB8 GB2.21 GiB7.46 GiByes4K only143±30%
Spec sheetPredictedwhat these mean

Memory at context

ContextWeightsKV (f16)KV (q8_0)Working bufferTotal (f16)
4,0960.67 GiB0.75 GiB0.40 GiB0.29 GiB1.71 GiB
8,1920.67 GiB1.50 GiB0.80 GiB0.29 GiB2.46 GiB
16,3840.67 GiB3.00 GiB1.59 GiB0.29 GiB3.96 GiB
32,7680.67 GiB6.00 GiB3.19 GiB0.29 GiB6.96 GiB
65,5360.67 GiB12.00 GiB6.38 GiB0.29 GiB12.96 GiB
131,0720.67 GiB24.00 GiB12.75 GiB0.29 GiB24.96 GiB
From the filePredictedwhat these mean

Quantizing the KV cache to q8_0 is a roughly 2× lever on the dominant term at long context, and it is the single most useful setting most local users never touch. Totals here exclude the allocator reserve your driver takes, which is hardware-specific — the per-accelerator table above includes it.