mradermacher's picture
auto-patch README.md
73d4c79 verified
metadata
base_model: tiiuae/falcon-40b-instruct
datasets:
  - tiiuae/falcon-refinedweb
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher

About

weighted/imatrix quants of https://huggingface.co/tiiuae/falcon-40b-instruct

static quants are available at https://huggingface.co/mradermacher/falcon-40b-instruct-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 9.8 for the desperate
GGUF i1-IQ1_M 10.1 mostly desperate
GGUF i1-IQ2_XXS 12.0
GGUF i1-IQ2_XS 13.2
GGUF i1-IQ2_S 14.0
GGUF i1-IQ2_M 15.1
GGUF i1-Q2_K 16.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 17.0 lower quality
GGUF i1-IQ3_XS 18.4
GGUF i1-IQ3_S 18.9 beats Q3_K*
GGUF i1-Q3_K_S 18.9 IQ3_XS probably better
GGUF i1-IQ3_M 19.8
GGUF i1-Q3_K_M 20.7 IQ3_S probably better
GGUF i1-Q3_K_L 22.2 IQ3_M probably better
GGUF i1-IQ4_XS 22.6
GGUF i1-Q4_0 24.0 fast, low quality
GGUF i1-Q4_K_S 24.4 optimal size/speed/quality
GGUF i1-Q4_K_M 26.1 fast, recommended
GGUF i1-Q5_K_S 29.6
GGUF i1-Q5_K_M 31.2
GGUF i1-Q6_K 35.1 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.