File size: 4,131 Bytes
6a97cda 27b7b91 6a97cda 27b7b91 6a97cda 27b7b91 6a97cda 27b7b91 6a97cda 65806e3 6a97cda | 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 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | ---
base_model: N-Bot-Int/ElaNore3-4B_ADJUSTED_merged
datasets:
- N-Bot-Int/Iris-Uncensored-Reformat-R2
- N-Bot-Int/RP-Mixed-v1
language:
- en
library_name: transformers
license: agpl-3.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- Uncensored
- text-generation-inference
- transformers
- unsloth
- qwen3
- trl
- roleplay
- conversational
---
## About
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<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
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static quants of https://huggingface.co/N-Bot-Int/ElaNore3-4B_ADJUSTED_merged
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#ElaNore3-4B_ADJUSTED_merged-GGUF).***
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 |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q2_K.gguf) | Q2_K | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q3_K_S.gguf) | Q3_K_S | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q3_K_L.gguf) | Q3_K_L | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.IQ4_XS.gguf) | IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q5_K_S.gguf) | Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q5_K_M.gguf) | Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q6_K.gguf) | Q6_K | 3.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.Q8_0.gguf) | Q8_0 | 4.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/ElaNore3-4B_ADJUSTED_merged-GGUF/resolve/main/ElaNore3-4B_ADJUSTED_merged.f16.gguf) | f16 | 8.2 | 16 bpw, overkill |
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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