hammerai/MN-Violet-Lotus-12B-GGUF overview
About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: static quants of https://huggingface.co/FallenMerick/MN Viole…
Runs locally from ~6.96 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
Model README
---
base_model: FallenMerick/MN-Violet-Lotus-12B
language:
- en
library_name: transformers
license: cc-by-4.0
quantized_by: mradermacher
tags:
- storywriting
- text adventure
- creative
- story
- writing
- fiction
- roleplaying
- rp
- mergekit
- merge
---
About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/FallenMerick/MN-Violet-Lotus-12B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/MN-Violet-Lotus-12B-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 |
|:-----|:-----|--------:|:------|
| GGUF | Q2_K | 4.9 | |
| GGUF | Q3_K_S | 5.6 | |
| GGUF | Q3_K_M | 6.2 | lower quality |
| GGUF | Q3_K_L | 6.7 | |
| GGUF | IQ4_XS | 6.9 | |
| GGUF | Q4_0_4_4 | 7.2 | fast on arm, low quality |
| GGUF | Q4_K_S | 7.2 | fast, recommended |
| GGUF | Q4_K_M | 7.6 | fast, recommended |
| GGUF | Q5_K_S | 8.6 | |
| GGUF | Q5_K_M | 8.8 | |
| GGUF | Q6_K | 10.2 | very good quality |
| GGUF | Q8_0 | 13.1 | fast, best quality |
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, for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
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