Transformers
GGUF
English
Inference Endpoints
Edit model card

About

weighted/imatrix quants of https://huggingface.co/jondurbin/airoboros-180b-2.2.1

static quants are available at https://huggingface.co/mradermacher/airoboros-180b-2.2.1-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 38.4 for the desperate
GGUF i1-IQ1_M 42.0 mostly desperate
GGUF i1-IQ2_XXS 47.9
PART 1 PART 2 i1-IQ2_XS 53.1
PART 1 PART 2 i1-IQ2_S 56.6
PART 1 PART 2 i1-IQ2_M 61.3
PART 1 PART 2 i1-Q2_K 67.8 IQ3_XXS probably better
PART 1 PART 2 i1-IQ3_XXS 69.5 lower quality
PART 1 PART 2 i1-IQ3_XS 75.4
PART 1 PART 2 i1-IQ3_S 77.9 beats Q3_K*
PART 1 PART 2 i1-Q3_K_S 77.9 IQ3_XS probably better
PART 1 PART 2 i1-IQ3_M 81.5
PART 1 PART 2 i1-Q3_K_M 86.5 IQ3_S probably better
PART 1 PART 2 i1-Q3_K_L 92.1 IQ3_M probably better
PART 1 PART 2 i1-IQ4_XS 96.0
PART 1 PART 2 PART 3 i1-Q4_0 102.1 fast, low quality
PART 1 PART 2 PART 3 i1-Q4_K_S 102.5 optimal size/speed/quality
PART 1 PART 2 PART 3 i1-Q4_K_M 109.8 fast, recommended
PART 1 PART 2 PART 3 i1-Q5_K_S 123.9
PART 1 PART 2 PART 3 i1-Q5_K_M 131.1
PART 1 PART 2 PART 3 PART 4 i1-Q6_K 148.5 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.

Downloads last month
3
GGUF
Model size
180B params
Architecture
falcon

1-bit

2-bit

Unable to determine this model’s pipeline type. Check the docs .

Quantized from

Dataset used to train mradermacher/airoboros-180b-2.2.1-i1-GGUF