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---
language:
- en
library_name: transformers
license: llama2
quantized_by: mradermacher
---
## About
weighted/imatrix wants of https://huggingface.co/sophosympatheia/Aurora-Nights-103B-v1.0
the weights were calculated using 164k semi-random english-only tokens.
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## 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](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ1_S.gguf) | i1-IQ1_S | 22.0 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 27.6 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ2_XS.gguf) | i1-IQ2_XS | 30.7 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q2_K.gguf) | i1-Q2_K | 38.2 | |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 40.5 | fast, lower quality |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_XS.gguf) | i1-Q3_K_XS | 42.3 | IQ3-XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_S.gguf) | i1-Q3_K_S | 44.8 | IQ3-XXS probably better |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_M.gguf.split-ab) | i1-Q3_K_M | 49.9 | lower quality |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_L.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q3_K_L.gguf.split-ab) | i1-Q3_K_L | 54.4 | |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_K_S.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_K_S.gguf.split-ab) | i1-Q4_K_S | 58.9 | fast, medium quality |
| [PART 1](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_K_M.gguf.split-aa) [PART 2](https://huggingface.co/mradermacher/Aurora-Nights-103B-v1.0-i1-GGUF/resolve/main/Aurora-Nights-103B-v1.0.i1-Q4_K_M.gguf.split-ab) | i1-Q4_K_M | 62.2 | fast, medium quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
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