base_model: nyunai/nyun-c1-llama3-62B
language:
- en
library_name: transformers
license: llama3
quantized_by: mradermacher
About
weighted/imatrix quants of https://huggingface.co/nyunai/nyun-c1-llama3-62B
static quants are available at https://huggingface.co/mradermacher/nyun-c1-llama3-62B-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 |
---|---|---|---|
GGUF | i1-IQ1_S | 13.6 | for the desperate |
GGUF | i1-IQ1_M | 14.9 | mostly desperate |
GGUF | i1-IQ2_XXS | 16.9 | |
GGUF | i1-IQ2_XS | 18.7 | |
GGUF | i1-IQ2_S | 19.7 | |
GGUF | i1-IQ2_M | 21.3 | |
GGUF | i1-Q2_K | 23.3 | IQ3_XXS probably better |
GGUF | i1-IQ3_XXS | 24.2 | lower quality |
GGUF | i1-IQ3_XS | 25.8 | |
GGUF | i1-Q3_K_S | 27.2 | IQ3_XS probably better |
GGUF | i1-IQ3_S | 27.2 | beats Q3_K* |
GGUF | i1-IQ3_M | 28.1 | |
GGUF | i1-Q3_K_M | 30.2 | IQ3_S probably better |
GGUF | i1-Q3_K_L | 32.8 | IQ3_M probably better |
GGUF | i1-IQ4_XS | 33.4 | |
GGUF | i1-Q4_0 | 35.4 | fast, low quality |
GGUF | i1-Q4_K_S | 35.5 | optimal size/speed/quality |
GGUF | i1-Q4_K_M | 37.4 | fast, recommended |
GGUF | i1-Q5_K_S | 42.9 | |
GGUF | i1-Q5_K_M | 44.0 | |
PART 1 PART 2 | i1-Q6_K | 51.0 | practically like static Q6_K |
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.