mradermacher/llama-65b-instruct-GGUF

About

static quants of https://huggingface.co/upstage/llama-65b-instruct

weighted/imatrix quants are available at https://huggingface.co/mradermacher/llama-65b-instruct-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
GGUF	Q2_K	24.2
GGUF	IQ3_XS	26.7
GGUF	IQ3_S	28.3	beats Q3_K*
GGUF	Q3_K_S	28.3
GGUF	IQ3_M	29.9
GGUF	Q3_K_M	31.7	lower quality
GGUF	Q3_K_L	34.7
GGUF	IQ4_XS	35.1
GGUF	Q4_K_S	37.2	fast, recommended
GGUF	Q4_K_M	39.4	fast, recommended
GGUF	Q5_K_S	45.0
GGUF	Q5_K_M	46.3
PART 1 PART 2	Q6_K	53.7	very good quality
PART 1 PART 2	Q8_0	69.5	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.