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L3-Dark-Planet-8B-wordstorm-r4

DavidAU/L3-Dark-Planet-8B-wordstorm-r4

L3-Dark-Planet-8B-wordstorm-r4 at Q4_K_M is exactly 4,920,736,768 bytes (4.58 GiB / 4.92 GB) — an effective 4.902 bits per weight, not the nominal 4.

From the file· summed from 1 file(s)
Parameters
8.0B
Architecture
llama
Context
native (config.json)
License
apache-2.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
Q2_K2.96 GiB3,179,133,9523.167mradermacher
Q3_K_S3.41 GiB3,664,501,7603.651mradermacher
Q3_K_M3.74 GiB4,018,920,4484.004mradermacher
Q3_K_L4.03 GiB4,321,958,9124.306mradermacher
IQ4_XS4.18 GiB4,484,365,3124.468mradermacher
Q4_K_S4.37 GiB4,692,671,4884.675mradermacher
Q4_K_M4.58 GiB4,920,736,7684.902mradermacher
Q5_K_S5.21 GiB5,599,296,5125.578mradermacher
Q5_K_M5.34 GiB5,732,989,9525.711mradermacher
Q6_K6.14 GiB6,596,008,9606.571mradermacher
Q8_07.95 GiB8,540,773,3768.509mradermacher
F1614.97 GiB16,068,893,69616.008mradermacher

Compare with

same modality, comparable size

Will it run on your card?

full quant x context sweep

Why other calculators give a different number

A parameters × bits ÷ 8 estimate puts Q4_K_M at roughly 4.21 GiB. The real file is 4.58 GiB, because a quantization is a mixture and some tensors are always kept at higher precision.

Architecture

Architecture unavailable — this repository is gated and no ungated mirror was found. Exact file sizes above are still authoritative; only the KV math needs the config.

Questions people ask

How much VRAM does L3-Dark-Planet-8B-wordstorm-r4 need?
Q4_K_M is exactly 4,920,736,768 bytes (4.58 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
Which quantization of L3-Dark-Planet-8B-wordstorm-r4 should I use?
Q4_K_M is the usual default. Pick the largest quantization that fits your card at the context you actually need — the table above gives exact sizes for every one published.