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Hikari-4x7B-GGUF
mradermacher/Hikari-4x7B-GGUF
Hikari-4x7B-GGUF is a machine learning model from mradermacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
static quants of https://huggingface.co/saucam/Hikari-4x7B
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Mar 29, 2024
- Updated
- May 6, 2024
- SHA
- b04ce150
Base models
Model card
From the Hugging Face model README
About
static quants of https://huggingface.co/saucam/Hikari-4x7B
<!-- 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 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 | 9.2 | |
| GGUF | IQ3_XS | 10.3 | |
| GGUF | Q3_K_S | 10.8 | |
| GGUF | IQ3_S | 10.9 | beats Q3_K* |
| GGUF | IQ3_M | 11.1 | |
| GGUF | Q3_K_M | 12.0 | lower quality |
| GGUF | Q3_K_L | 13.0 | |
| GGUF | IQ4_XS | 13.5 | |
| GGUF | Q4_0 | 14.0 | fast, low quality |
| GGUF | Q4_K_S | 14.2 | fast, recommended |
| GGUF | IQ4_NL | 14.2 | prefer IQ4_XS |
| GGUF | Q4_K_M | 15.0 | fast, recommended |
| GGUF | Q5_K_S | 17.1 | |
| GGUF | Q5_K_M | 17.6 | |
| GGUF | Q6_K | 20.3 | very good quality |
| GGUF | Q8_0 | 26.1 | 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.
<!-- end -->- Library
- transformers
- License
- apache-2.0
- Languages
- en, ja
- Created
- Mar 29, 2024
- Updated
- May 6, 2024