You can deploy this model and start earning money today!

mradermacher/
Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-GGUF

Name: Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-GGUF
Availability: InStock

Views

No views yet

About

For a convenient overview and download list, visit our model page for this model.

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.

(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	17.4
GGUF	IQ3_XS	19.5
GGUF	IQ3_S	20.5	beats Q3_K*
GGUF	Q3_K_S	20.5
GGUF	IQ3_M	21.5
GGUF	Q3_K_M	22.6	lower quality
GGUF	Q3_K_L	24.3
GGUF	IQ4_XS	25.5
GGUF	Q4_K_S	26.8	fast, recommended
GGUF	Q4_K_M	28.5	fast, recommended
GGUF	Q5_K_S	32.3
GGUF	Q5_K_M	33.3
GGUF	Q6_K	38.5	very good quality
GGUF	Q8_0	49.7	fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

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.