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mradermacher/BigLlama-3.1-1T-Instruct-GGUF
BigLlama-3.1-1T-Instruct-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.
static quants of https://huggingface.co/mlabonne/BigLlama-3.1-1T-Instruct
Downloads · 30 days
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Updated Sep 5, 2024
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8.2 TB
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.part01of10137 GB · 2%
From the Hugging Face model README
static quants of https://huggingface.co/mlabonne/BigLlama-3.1-1T-Instruct
<!-- provided-files -->weighted/imatrix quants are available at https://huggingface.co/mradermacher/BigLlama-3.1-1T-Instruct-i1-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 |
|---|---|---|---|
| P1 P2 P3 P4 P5 P6 P7 P8 | Q2_K | 374.5 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 | IQ3_XS | 416.4 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q3_K_S | 438.8 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 | IQ3_S | 440.2 | beats Q3_K* |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 | IQ3_M | 455.9 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 | Q3_K_M | 490.0 | lower quality |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 | Q3_K_L | 534.1 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 | IQ4_XS | 549.0 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 | Q4_K_S | 578.1 | fast, recommended |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 | Q4_K_M | 610.5 | fast, recommended |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 | Q5_K_S | 700.9 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 | Q5_K_M | 719.8 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 | Q6_K | 836.0 | very good quality |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 | Q8_0 | 1082.7 | 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
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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