Model comparison

Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated vs Llama-3.1-8B-Instruct

At Q4_K_M, Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated is the smaller download — 2,708,801,536 bytes against 4,920,739,168. At long context the gap widens: Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated's KV cache at 32K is 4.0× smaller, which usually matters more than the difference in weights.

From the file· summed bytes, KV per layer

Side by side

Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliteratedLlama-3.1-8B-Instruct
Parameters4.7B8.0B
Architectureqwen35llama
Layers3232
Native context262,144131,072
Mixture of expertsnono
Quantizations published3645
Smallest quantization1.27 GiB2.02 GiB
Q4_K_M2.52 GiB4.58 GiB
Licenceapache-2.0llama3.1

KV cache by context

the term that decides long-context viability
ContextHuihui-Qwen3.5-4B-Claude-4.6-Opus-abliteratedLlama-3.1-8B-InstructRatio
4,0960.13 GiB0.50 GiB4.00×
8,1920.25 GiB1.00 GiB4.00×
16,3840.50 GiB2.00 GiB4.00×
32,7681.00 GiB4.00 GiB4.00×
65,5362.00 GiB8.00 GiB4.00×
131,0724.00 GiB16.00 GiB4.00×