xLAM-8x22b-r-GGUF / README.md
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metadata
base_model: Salesforce/xLAM-8x22b-r
datasets:
  - Salesforce/xlam-function-calling-60k
extra_gated_button_content: Agree and access repository
extra_gated_fields:
  Affiliation: text
  Country: country
  First Name: text
  Last Name: text
extra_gated_heading: Acknowledge to follow corresponding license to access the repository
language:
  - en
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
tags:
  - function-calling
  - LLM Agent
  - tool-use
  - mistral
  - pytorch

About

static quants of https://huggingface.co/Salesforce/xLAM-8x22b-r

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
PART 1 PART 2 Q2_K 52.2
PART 1 PART 2 Q3_K_S 61.6
PART 1 PART 2 Q3_K_M 67.9 lower quality
PART 1 PART 2 Q3_K_L 72.7
PART 1 PART 2 Q4_K_S 80.6 fast, recommended
PART 1 PART 2 Q4_K_M 85.7 fast, recommended
PART 1 PART 2 PART 3 Q6_K 115.6 very good quality
PART 1 PART 2 PART 3 PART 4 Q8_0 149.5 fast, best quality

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.