File size: 3,008 Bytes
90ee54c 808ab18 90ee54c 808ab18 90ee54c 808ab18 90ee54c 858b728 90ee54c 213def3 90ee54c 213def3 90ee54c 6252ba5 90ee54c 808ab18 5a3207a 858b728 5a3207a 858b728 dda8095 90ee54c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
---
language:
- en
library_name: transformers
quantized_by: mradermacher
---
## About
weighted/imatrix quants of https://huggingface.co/Doctor-Shotgun/Nous-Capybara-limarpv3-34B
<!-- 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/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-IQ1_S.gguf) | i1-IQ1_S | 8.1 | |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.9 | |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.9 | |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-Q2_K.gguf) | i1-Q2_K | 13.4 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 14.2 | fast, lower quality |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-Q3_K_XS.gguf) | i1-Q3_K_XS | 14.7 | |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.5 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 17.2 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 18.7 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.1 | almost as good as Q4_K_M |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 21.2 | fast, medium quality |
| [GGUF](https://huggingface.co/mradermacher/Nous-Capybara-limarpv3-34B-i1-GGUF/resolve/main/Nous-Capybara-limarpv3-34B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 24.9 | best weighted quant |
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
<!-- end -->
|