---
base_model: naturecodeproject/vincent
extra_gated_fields:
  I agree to use this model responsibly: checkbox
  Intended Use: text
  Name: text
  Organization: text
extra_gated_prompt: You are about to request access to Naturecode Vincent, a fine-tuned
  language model that embodies the persona of Vincent van Gogh. By requesting access,
  you agree to use this model responsibly for research, educational, or creative purposes
  only. Commercial use requires explicit permission from Naturecode.
language:
- en
library_name: transformers
license: other
license_link: https://naturecode.xyz/license
license_name: naturecode-research
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
- conversational
- art
- history
- vincent-van-gogh
- persona
- fine-tuned
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
<!-- ### tags: nicoboss -->
<!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
<!-- ### quants_skip:  -->
<!-- ### skip_mmproj:  -->
weighted/imatrix quants of https://huggingface.co/naturecodeproject/vincent

<!-- provided-files -->

***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#vincent-i1-GGUF).***

static quants are available at https://huggingface.co/mradermacher/vincent-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 |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.6 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.2 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q4_1.gguf) | i1-Q4_1 | 4.7 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 |  |
| [GGUF](https://huggingface.co/mradermacher/vincent-i1-GGUF/resolve/main/vincent.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | practically like static Q6_K |

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. 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 -->