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---
base_model: tiiuae/falcon-180B
datasets:
- tiiuae/falcon-refinedweb
extra_gated_button_content: I agree to the terms and conditions of the Falcon-180B
TII license and to the acceptable use policy
extra_gated_heading: Acknowledge license to access the repository
extra_gated_prompt: You agree to the [Falcon-180B TII license](https://huggingface.co/spaces/tiiuae/falcon-180b-license/blob/main/LICENSE.txt)
and [acceptable use policy](https://huggingface.co/spaces/tiiuae/falcon-180b-license/blob/main/ACCEPTABLE_USE_POLICY.txt).
language:
- en
- de
- es
- fr
library_name: transformers
license: unknown
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
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weighted/imatrix quants of https://huggingface.co/tiiuae/falcon-180B
<!-- provided-files -->
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 47.9 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ2_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ2_XS.gguf.part2of2) | i1-IQ2_XS | 53.1 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ2_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ2_S.gguf.part2of2) | i1-IQ2_S | 56.6 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ2_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ2_M.gguf.part2of2) | i1-IQ2_M | 61.3 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q2_K.gguf.part2of2) | i1-Q2_K | 66.9 | IQ3_XXS probably better |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ3_XXS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ3_XXS.gguf.part2of2) | i1-IQ3_XXS | 69.5 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ3_XS.gguf.part2of2) | i1-IQ3_XS | 75.4 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ3_S.gguf.part2of2) | i1-IQ3_S | 77.9 | beats Q3_K* |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q3_K_S.gguf.part2of2) | i1-Q3_K_S | 77.9 | IQ3_XS probably better |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ3_M.gguf.part2of2) | i1-IQ3_M | 81.5 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q3_K_M.gguf.part2of2) | i1-Q3_K_M | 85.6 | IQ3_S probably better |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q3_K_L.gguf.part2of2) | i1-Q3_K_L | 92.1 | IQ3_M probably better |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-IQ4_XS.gguf.part2of2) | i1-IQ4_XS | 96.0 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_K_S.gguf.part3of3) | i1-Q4_K_S | 101.6 | optimal size/speed/quality |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_0.gguf.part3of3) | i1-Q4_0 | 102.1 | fast, low quality |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q4_K_M.gguf.part3of3) | i1-Q4_K_M | 108.9 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q5_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q5_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q5_K_S.gguf.part3of3) | i1-Q5_K_S | 123.9 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q5_K_M.gguf.part3of3) | i1-Q5_K_M | 131.1 | |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-i1-GGUF/resolve/main/falcon-180B.i1-Q6_K.gguf.part3of3) | 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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
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