transformers en de es fr dataset:tiiuae/falcon-refinedweb dataset:pankajmathur/WizardLM_Orca base_model:quantumaikr/falcon-180B-WizardLM_Orca endpoints_compatible region:us
---
base_model: quantumaikr/falcon-180B-WizardLM_Orca
datasets:
- tiiuae/falcon-refinedweb
- pankajmathur/WizardLM_Orca
language:
- en
- de
- es
- fr
library_name: transformers
quantized_by: mradermacher
---
## About

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

<!-- provided-files -->
weighted/imatrix quants are 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](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 |
|:-----|:-----|--------:|:------|
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q2_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q2_K.gguf.part2of2) | Q2_K | 65.9 |  |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.IQ3_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.IQ3_XS.gguf.part2of2) | IQ3_XS | 74.4 |  |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.IQ3_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.IQ3_S.gguf.part2of2) | IQ3_S | 76.8 | beats Q3_K* |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q3_K_S.gguf.part2of2) | Q3_K_S | 76.8 |  |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.IQ3_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.IQ3_M.gguf.part2of2) | IQ3_M | 80.5 |  |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q3_K_M.gguf.part2of2) | Q3_K_M | 84.6 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q3_K_L.gguf.part2of2) | Q3_K_L | 91.1 |  |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.IQ4_XS.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.IQ4_XS.gguf.part2of2) | IQ4_XS | 96.4 |  |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q4_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q4_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q4_K_S.gguf.part3of3) | Q4_K_S | 100.6 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q4_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q4_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q4_K_M.gguf.part3of3) | Q4_K_M | 107.9 | fast, recommended |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q5_K_S.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q5_K_S.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q5_K_S.gguf.part3of3) | Q5_K_S | 122.9 |  |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q5_K_M.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q5_K_M.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q5_K_M.gguf.part3of3) | Q5_K_M | 130.1 |  |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q6_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q6_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q6_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q6_K.gguf.part4of4) | Q6_K | 146.6 | very good quality |
| [PART 1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q8_0.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q8_0.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q8_0.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.Q8_0.gguf.part4of4) | Q8_0 | 189.8 | fast, best quality |
| [P1](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.SOURCE.gguf.part1of8) [P2](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.SOURCE.gguf.part2of8) [P3](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.SOURCE.gguf.part3of8) [P4](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.SOURCE.gguf.part4of8) [P5](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.SOURCE.gguf.part5of8) [P6](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.SOURCE.gguf.part6of8) [P7](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.SOURCE.gguf.part7of8) [P8](https://huggingface.co/mradermacher/falcon-180B-WizardLM_Orca-GGUF/resolve/main/falcon-180B-WizardLM_Orca.SOURCE.gguf.part8of8) | 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](https://www.nethype.de/huggingface_embed/quantpplgraph.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](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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