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MultiVerse_70B-i1-GGUF
mradermacher/MultiVerse_70B-i1-GGUF
MultiVerse_70B-i1-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 other.
weighted/imatrix quants of https://huggingface.co/MTSAIR/MultiVerse70B
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.gguf571 GB · 78%
At a glance
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Apr 3, 2024
- Updated
- May 6, 2024
- SHA
- e7e6e0a7
Base models
Model card
From the Hugging Face model README
About
<!-- ### convert_type: --> <!-- ### vocab_type: -->weighted/imatrix quants of https://huggingface.co/MTSAIR/MultiVerse_70B
<!-- provided-files -->static quants are available at https://huggingface.co/mradermacher/MultiVerse_70B-GGUF
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 | i1-IQ1_S | 18.0 | for the desperate |
| GGUF | i1-IQ1_M | 19.3 | mostly desperate |
| GGUF | i1-IQ2_XXS | 21.5 | |
| GGUF | i1-IQ2_XS | 23.5 | |
| GGUF | i1-IQ2_S | 25.1 | |
| GGUF | i1-IQ2_M | 26.9 | |
| GGUF | i1-Q2_K | 28.6 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 29.4 | lower quality |
| GGUF | i1-IQ3_XS | 31.5 | |
| GGUF | i1-IQ3_S | 33.1 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 33.1 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 34.8 | |
| GGUF | i1-Q3_K_M | 36.8 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 40.1 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 40.4 | |
| GGUF | i1-Q4_0 | 42.7 | fast, low quality |
| GGUF | i1-Q4_K_S | 42.9 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 45.3 | fast, recommended |
| PART 1 PART 2 | i1-Q5_K_S | 51.5 | |
| PART 1 PART 2 | i1-Q5_K_M | 52.9 | |
| PART 1 PART 2 | i1-Q6_K | 60.9 | practically like static Q6_K |
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
- other
- Languages
- en
- Created
- Apr 3, 2024
- Updated
- May 6, 2024