Llama-3.2-1B-Instruct · unsloth

Llama-3.2-1B-Instruct F16

This file is exactly 2,479,595,168 bytes — 2.31 GiB / 2.48 GB at an effective 16.052 bits per weight. The nominal rate for F16 is lower; mixed-precision tensors make the real figure higher, always.

From the file· 1 file(s), summedFrom the file· 147 tensors parsed

Get it

2.31 GiB · 1 file
llama.cpp
llama-cli -hf unsloth/Llama-3.2-1B-Instruct-GGUF:F16

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

Hugging Face CLI
hf download unsloth/Llama-3.2-1B-Instruct-GGUF Llama-3.2-1B-Instruct-F16.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.

Repository →
Size
2.31 GiB
2.48 GB
Effective bpw
16.052
from real bytes ÷ params
Tensors
147
Header
7.83 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F16
113
F32
34

A quantization label names a mixture, not a uniform precision. Attention and output tensors are routinely kept at higher precision than the label implies, which is exactly why the effective bits-per-weight above exceeds the nominal rate.

Fit by accelerator

AcceleratorMemory○Total @4K◐Total @32K◐Fits◐tok/s @4K◐
Arc A310 4GB4 GB3.24 GiB4.11 GiByes4K only27±30%
Arc A350M 4GB4 GB3.24 GiB4.11 GiByes4K only24±30%
Arc A370M 4GB4 GB3.24 GiB4.11 GiByes4K only24±30%
Arc A530M 4GB4 GB3.24 GiB4.11 GiByes4K only47±30%
Arc Pro A30M 4GB4 GB3.24 GiB4.11 GiByes4K only24±30%
Radeon Pro W64004 GB3.34 GiB4.21 GiByes4K only33±26.5%
Radeon RX 64004 GB3.34 GiB4.21 GiByes4K only33±26.5%
Radeon RX 6500 XT4 GB3.34 GiB4.21 GiByes4K only36±26.5%
RTX A4004 GB3.44 GiB4.31 GiByes4K only22±22%
Arc A380 6GB6 GB3.24 GiB4.11 GiByes39±30%
Arc Pro A40 6GB6 GB3.24 GiB4.11 GiByes41±30%
Arc Pro A50 6GB6 GB3.24 GiB4.11 GiByes41±30%
GeForce RTX 20606 GB3.24 GiB4.11 GiByes94±12.9%
GeForce RTX 30506 GB3.24 GiB4.11 GiByes49±12.9%
GeForce RTX 3060 OEM6 GB3.24 GiB4.11 GiByes94±12.9%
RTX A20006 GB3.44 GiB4.31 GiByes66±22%
Apple M18 GB2.99 GiB3.86 GiByes21±8.3%
Apple M28 GB2.99 GiB3.86 GiByes30±8.3%
Apple M38 GB2.99 GiB3.86 GiByes30±8.3%
Apple M48 GB2.99 GiB3.86 GiByes34±8.3%
Arc A530M 8GB8 GB3.24 GiB4.11 GiByes47±30%
Arc A550M 8GB8 GB3.24 GiB4.11 GiByes47±30%
Arc A570M 8GB8 GB3.24 GiB4.11 GiByes47±30%
Arc A580 8GB8 GB3.24 GiB4.11 GiByes95±30%
○Spec sheet◐Predictedwhat these mean

Memory at context

ContextWeights●KV (f16)●KV (q8_0)●Working buffer◐Total (f16)◐
4,0962.31 GiB0.13 GiB0.07 GiB0.30 GiB2.74 GiB
8,1922.31 GiB0.25 GiB0.13 GiB0.30 GiB2.86 GiB
16,3842.31 GiB0.50 GiB0.27 GiB0.30 GiB3.11 GiB
32,7682.31 GiB1.00 GiB0.53 GiB0.30 GiB3.61 GiB
65,5362.31 GiB2.00 GiB1.06 GiB0.30 GiB4.61 GiB
131,0722.31 GiB4.00 GiB2.13 GiB0.30 GiB6.61 GiB
●From the file◐Predictedwhat 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.