metadata
license: llama3.1
Experimental .GGUF quants for https://huggingface.co/google/gemma-2-9b-it accordingly to LCPP PR (based on b_3529 and now b_3565 for the newer ones) : https://github.com/ggerganov/llama.cpp/pull/8836
These experimental quant strategies revisiting Ikawrakow's work are displaying a slight decrease of perplexity, including per bpw (from 10%+ for the lowest quants to 0.x% for the highest ones). This is significant enough to encourage you folks to test them, and provide feedback if pertinent.
The iMatrix I use is based on Group Merged V3 and enriched with a bit of French, a bit of Serbian, and a bit of Croatian languages.
ARC and PPL-512 DATA (Get the last data on the main post of the PR thread) :
IQ3_M
Master
Size : 3.52 GiB (3.76 BPW)
PPL 512 wikitext : 7.9263 +/- 0.04943
IQ3_M
PR
Size : 3.49 GiB (3.73 BPW)
PPL 512 wikitext : 7.8704 +/- 0.04951
IQ4_XS
Master
Size : 4.13 GiB (4.42 BPW)
Arc-C 299 49.16387960
Arc-E 570 72.10526316
PPL 512 wikitext : 7.5226 +/- 0.04820
IQ4_XSR
PR
Size : 4.16 GiB (4.45 BPW)
Arc-C 299
Arc-E 570
PPL 512 wikitext : 7.5072 +/- 0.04814
FP16
MASTER : Gemma 2 9b It F16.
Size : 14.96 GiB (16.00 BPW)
Arc-C 299 49.49832776
Arc-E 570 73.85964912
PPL 512 wikitext : 7.3224 +/- 0.04674