|
--- |
|
base_model: RichardErkhov/FATLLAMA-1.7T-Instruct |
|
language: |
|
- en |
|
library_name: transformers |
|
quantized_by: mradermacher |
|
tags: |
|
- mergekit |
|
- merge |
|
--- |
|
## About |
|
|
|
<!-- ### quantize_version: 2 --> |
|
<!-- ### output_tensor_quantised: 1 --> |
|
<!-- ### convert_type: hf --> |
|
<!-- ### vocab_type: --> |
|
<!-- ### tags: --> |
|
static quants of https://huggingface.co/RichardErkhov/FATLLAMA-1.7T-Instruct |
|
|
|
<!-- provided-files --> |
|
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](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 | |
|
|:-----|:-----|--------:|:------| |
|
| [P1](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part01of20) [P2](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part02of20) [P3](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part03of20) [P4](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part04of20) [P5](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part05of20) [P6](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part06of20) [P7](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part07of20) [P8](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part08of20) [P9](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part09of20) [P10](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part10of20) [P11](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part11of20) [P12](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part12of20) [P13](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part13of20) [P14](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part14of20) [P15](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part15of20) [P16](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part16of20) [P17](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part17of20) [P18](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part18of20) [P19](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part19of20) [P20](https://huggingface.co/mradermacher/FATLLAMA-1.7T-Instruct-GGUF/resolve/main/FATLLAMA-1.7T-Instruct.Q4_K_S.gguf.part20of20) | Q4_K_S | 961.5 | fast, recommended | |
|
|
|
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. Additional thanks to [@nicoboss](https://huggingface.co/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. |
|
|
|
<!-- end --> |
|
|
