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About

static quants of https://huggingface.co/cognitivecomputations/dolphin-2.9.3-qwen2-0.5b

weighted/imatrix quants are available at https://huggingface.co/mradermacher/dolphin-2.9.3-qwen2-0.5b-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 Q3_K_S 0.4
GGUF IQ3_S 0.4 beats Q3_K*
GGUF IQ3_XS 0.4
GGUF Q2_K 0.4
GGUF IQ3_M 0.4
GGUF IQ4_XS 0.5
GGUF Q3_K_M 0.5 lower quality
GGUF Q3_K_L 0.5
GGUF Q4_K_S 0.5 fast, recommended
GGUF Q4_K_M 0.5 fast, recommended
GGUF Q5_K_S 0.5
GGUF Q5_K_M 0.5
GGUF Q6_K 0.6 very good quality
GGUF Q8_0 0.6 fast, best quality
GGUF f16 1.1 16 bpw, overkill

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

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

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