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mradermacher/Exodius-70B-i1-GGUF
Exodius-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 apache-2.0.
weighted/imatrix quants of https://huggingface.co/Syed-Hasan-8503/Exodius-70B
Downloads · 30 days
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From the Hugging Face model README
weighted/imatrix quants of https://huggingface.co/Syed-Hasan-8503/Exodius-70B
<!-- provided-files -->static quants are available at https://huggingface.co/mradermacher/Exodius-70B-GGUF
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.
(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 | 16.3 | for the desperate |
| GGUF | i1-IQ1_M | 17.7 | mostly desperate |
| GGUF | i1-IQ2_XXS | 19.9 | |
| GGUF | i1-IQ2_XS | 21.8 | |
| GGUF | i1-IQ2_S | 23.5 | |
| GGUF | i1-IQ2_M | 25.3 | |
| GGUF | i1-Q2_K | 27.2 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 27.8 | lower quality |
| GGUF | i1-IQ3_XS | 30.0 | |
| GGUF | i1-IQ3_S | 31.7 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 31.7 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 33.4 | |
| GGUF | i1-Q3_K_M | 35.4 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 38.6 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 38.9 | |
| GGUF | i1-Q4_0 | 41.2 | fast, low quality |
| GGUF | i1-Q4_K_S | 41.4 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 43.9 | fast, recommended |
| GGUF | i1-Q5_K_S | 50.0 | |
| PART 1 PART 2 | i1-Q5_K_M | 51.4 | |
| PART 1 PART 2 | i1-Q6_K | 59.4 | 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
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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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