Transformers
Inference Endpoints
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metadata
datasets:
  - tiiuae/falcon-refinedweb
  - pankajmathur/WizardLM_Orca
language:
  - en
library_name: transformers
quantized_by: mradermacher

About

static quants of https://huggingface.co/quantumaikr/falcon-180B-WizardLM_Orca

weighted/imatrux quants available at https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-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
PART 1 PART 2 PART 3 Q4_K_M 107.9 fast, medium quality
PART 1 PART 2 PART 3 PART 4 PART 5 PART 6 PART 7 PART 8 SOURCE 357.2 source gguf, only provided when it was hard to come by

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