About
static quants of https://huggingface.co/mlabonne/Meta-Llama-3-225B-Instruct
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 | Q2_K | 82.8 | |
| PART 1 PART 2 | IQ3_XS | 92.1 | |
| PART 1 PART 2 | Q3_K_S | 97.0 | |
| PART 1 PART 2 | IQ3_S | 97.3 | beats Q3_K* |
| PART 1 PART 2 PART 3 | IQ3_M | 100.6 | |
| PART 1 PART 2 PART 3 | Q3_K_M | 108.2 | lower quality |
| PART 1 PART 2 PART 3 | Q3_K_L | 117.8 | |
| PART 1 PART 2 PART 3 | IQ4_XS | 121.2 | |
| PART 1 PART 2 PART 3 | Q4_K_S | 127.7 | fast, recommended |
| PART 1 PART 2 PART 3 | Q4_K_M | 134.9 | fast, recommended |
| PART 1 PART 2 PART 3 PART 4 | Q5_K_S | 154.7 | |
| PART 1 PART 2 PART 3 PART 4 | Q5_K_M | 158.9 | |
| PART 1 PART 2 PART 3 PART 4 | Q6_K | 184.3 | very good quality |
| P1 P2 P3 P4 P5 | Q8_0 | 238.7 | 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.
Model tree for mradermacher/Meta-Llama-3-225B-Instruct-GGUF
Base model
meta-llama/Meta-Llama-3-70B