About
static quants of https://huggingface.co./meta-llama/Llama-3.1-405B
weighted/imatrix quants are available at https://huggingface.co./mradermacher/Meta-Llama-3.1-405B-i1-GGUF
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Link | Type | Size/GB | Notes |
---|---|---|---|
PART 1 PART 2 PART 3 PART 4 | Q2_K | 151.3 | |
PART 1 PART 2 PART 3 PART 4 | IQ3_XS | 168.2 | |
PART 1 PART 2 PART 3 PART 4 | Q3_K_S | 177.2 | |
PART 1 PART 2 PART 3 PART 4 | IQ3_S | 177.7 | beats Q3_K* |
PART 1 PART 2 PART 3 PART 4 | IQ3_M | 183.9 | |
PART 1 PART 2 PART 3 PART 4 | Q3_K_M | 197.6 | lower quality |
P1 P2 P3 P4 P5 | Q3_K_L | 215.3 | |
P1 P2 P3 P4 P5 | IQ4_XS | 221.3 | |
P1 P2 P3 P4 P5 | Q4_K_S | 233.0 | fast, recommended |
P1 P2 P3 P4 P5 | Q4_K_M | 245.8 | fast, recommended |
P1 P2 P3 P4 P5 P6 | Q5_K_S | 282.3 | |
P1 P2 P3 P4 P5 P6 | Q5_K_M | 289.8 | |
P1 P2 P3 P4 P5 P6 P7 | Q6_K | 336.5 | very good quality |
P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q8_0 | 435.8 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co./mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
Model tree for mradermacher/Meta-Llama-3.1-405B-GGUF
Base model
meta-llama/Llama-3.1-405B