base_model: tiiuae/falcon-180B
datasets:
- tiiuae/falcon-refinedweb
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language:
- en
- de
- es
- fr
library_name: transformers
license: unknown
quantized_by: mradermacher
About
weighted/imatrix quants of https://huggingface.co/tiiuae/falcon-180B
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-IQ2_XXS | 47.9 | |
| PART 1 PART 2 | i1-IQ2_XS | 53.1 | |
| PART 1 PART 2 | i1-IQ2_M | 61.3 | |
| PART 1 PART 2 | i1-Q2_K | 66.9 | 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 | 85.6 | 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_K_S | 101.6 | optimal size/speed/quality |
| PART 1 PART 2 PART 3 | i1-Q4_0 | 102.1 | fast, low quality |
| PART 1 PART 2 PART 3 | i1-Q4_K_M | 108.9 | 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 | i1-Q6_K | 147.6 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
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.