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metadata
base_model: lightblue/lb-reranker-0.5B-v1.0
datasets:
  - lightblue/reranker_continuous_filt_max7_train
language:
  - en
  - zh
  - es
  - de
  - ar
  - ru
  - ja
  - ko
  - hi
  - sk
  - vi
  - tr
  - fi
  - id
  - fa
  - 'no'
  - th
  - sv
  - pt
  - da
  - bn
  - te
  - ro
  - it
  - fr
  - nl
  - sw
  - pl
  - hu
  - cs
  - el
  - uk
  - mr
  - ta
  - tl
  - bg
  - lt
  - ur
  - he
  - gu
  - kn
  - am
  - kk
  - hr
  - uz
  - jv
  - ca
  - az
  - ms
  - sr
  - sl
  - yo
  - lv
  - is
  - ha
  - ka
  - et
  - bs
  - hy
  - ml
  - pa
  - mt
  - km
  - sq
  - or
  - as
  - my
  - mn
  - af
  - be
  - ga
  - mk
  - cy
  - gl
  - ceb
  - la
  - yi
  - lb
  - tg
  - gd
  - ne
  - ps
  - eu
  - ky
  - ku
  - si
  - ht
  - eo
  - lo
  - fy
  - sd
  - mg
  - so
  - ckb
  - su
  - nn
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - reranker

About

static quants of https://huggingface.co/lightblue/lb-reranker-0.5B-v1.0

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q2_K 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

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.