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Salamandra-7b-RAG-v2-i1-GGUF

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metadata
base_model: langtech-dev/Salamandra-7b-RAG-v2
language:
  - bg
  - ca
  - code
  - cs
  - cy
  - da
  - de
  - el
  - en
  - es
  - et
  - eu
  - fi
  - fr
  - ga
  - gl
  - hr
  - hu
  - it
  - lt
  - lv
  - mt
  - nl
  - nn
  - \no
  - oc
  - pl
  - pt
  - ro
  - ru
  - sh
  - sk
  - sl
  - sr
  - sv
  - uk
library_name: transformers
license: apache-2.0
quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/langtech-dev/Salamandra-7b-RAG-v2

static quants are available at https://huggingface.co/mradermacher/Salamandra-7b-RAG-v2-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 2.4 for the desperate
GGUF i1-IQ1_M 2.5 mostly desperate
GGUF i1-IQ2_XXS 2.7
GGUF i1-IQ2_XS 2.9
GGUF i1-IQ2_S 3.1
GGUF i1-IQ2_M 3.2
GGUF i1-Q2_K 3.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 3.5 lower quality
GGUF i1-IQ3_XS 3.7
GGUF i1-Q3_K_S 3.9 IQ3_XS probably better
GGUF i1-IQ3_S 3.9 beats Q3_K*
GGUF i1-IQ3_M 4.0
GGUF i1-Q3_K_M 4.1 IQ3_S probably better
GGUF i1-Q3_K_L 4.4 IQ3_M probably better
GGUF i1-IQ4_XS 4.6
GGUF i1-Q4_0_4_4 4.7 fast on arm, low quality
GGUF i1-Q4_0_4_8 4.7 fast on arm+i8mm, low quality
GGUF i1-Q4_0_8_8 4.7 fast on arm+sve, low quality
GGUF i1-Q4_0 4.8 fast, low quality
GGUF i1-Q4_K_S 4.8 optimal size/speed/quality
GGUF i1-Q4_K_M 5.0 fast, recommended
GGUF i1-Q5_K_S 5.6
GGUF i1-Q5_K_M 5.7
GGUF i1-Q6_K 6.5 practically like static Q6_K

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. 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.