Ornith-1.0-35B-uncensored-heretic Q4_K_M

This file is exactly 21,233,604,576 bytes — 19.78 GiB / 21.23 GB at an effective 4.839 bits per weight. The nominal rate for Q4_K_M is lower; mixed-precision tensors make the real figure higher, always.

From the file· 1 file(s), summedFrom the file· 733 tensors parsed

Get it

19.78 GiB · 1 file
llama.cpp
llama-cli -hf llmfan46/Ornith-1.0-35B-uncensored-heretic-GGUF:Q4_K_M

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

Hugging Face CLI
hf download llmfan46/Ornith-1.0-35B-uncensored-heretic-GGUF Ornith-1.0-35B-uncensored-heretic-Q4_K_M.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
19.78 GiB
21.23 GB
Effective bpw
4.839
from real bytes ÷ params
Tensors
733
Header
10.99 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F32
301
Q4_K
281
Q6_K
91
Q8_0
60

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

AcceleratorMemoryTotal @4KTotal @32KFitstok/s @4K
Arc A310 4GB4 GB20.66 GiB21.20 GiBno
Arc A350M 4GB4 GB20.66 GiB21.20 GiBno
Arc A370M 4GB4 GB20.66 GiB21.20 GiBno
Arc A530M 4GB4 GB20.66 GiB21.20 GiBno
Arc Pro A30M 4GB4 GB20.66 GiB21.20 GiBno
Radeon Pro W64004 GB20.76 GiB21.30 GiBno
Radeon RX 64004 GB20.76 GiB21.30 GiBno
Radeon RX 6500 XT4 GB20.76 GiB21.30 GiBno
RTX A4004 GB20.86 GiB21.40 GiBno
Arc A380 6GB6 GB20.66 GiB21.20 GiBno
Arc Pro A40 6GB6 GB20.66 GiB21.20 GiBno
Arc Pro A50 6GB6 GB20.66 GiB21.20 GiBno
GeForce RTX 20606 GB20.66 GiB21.20 GiBno
GeForce RTX 30506 GB20.66 GiB21.20 GiBno
GeForce RTX 3060 OEM6 GB20.66 GiB21.20 GiBno
RTX A20006 GB20.86 GiB21.40 GiBno
Apple M18 GB20.41 GiB20.95 GiBno
Apple M28 GB20.41 GiB20.95 GiBno
Apple M38 GB20.41 GiB20.95 GiBno
Apple M48 GB20.41 GiB20.95 GiBno
Arc A530M 8GB8 GB20.66 GiB21.20 GiBno
Arc A550M 8GB8 GB20.66 GiB21.20 GiBno
Arc A570M 8GB8 GB20.66 GiB21.20 GiBno
Arc A580 8GB8 GB20.66 GiB21.20 GiBno
Spec sheetPredictedwhat these mean

Memory at context

ContextWeightsKV (f16)KV (q8_0)Working bufferTotal (f16)
4,09619.78 GiB0.08 GiB0.04 GiB0.30 GiB20.16 GiB
8,19219.78 GiB0.16 GiB0.08 GiB0.30 GiB20.24 GiB
16,38419.78 GiB0.31 GiB0.17 GiB0.30 GiB20.39 GiB
32,76819.78 GiB0.63 GiB0.33 GiB0.30 GiB20.70 GiB
65,53619.78 GiB1.25 GiB0.66 GiB0.30 GiB21.33 GiB
131,07219.78 GiB2.50 GiB1.33 GiB0.30 GiB22.58 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.