File size: 1,212 Bytes
ecaad40 a60a378 ecaad40 a8377b0 ecaad40 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
---
base_model:
- 152334H/miqu-1-70b-sf
language:
- en
library_name: transformers
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
static quants of https://huggingface.co/wolfram/miqu-1-103b
weighted/imatrix quants available at https://huggingface.co/mradermacher/miqu-1-103b-i1-GGUF
<!-- provided-files -->
## 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 |
|:-----|:-----|--------:|:------|
| [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q6_K.gguf.part2of2) | Q6_K | 85.0 | very good quality |
Here is a handy graph comparing some lower-quality quant types (lower is better):
<!-- end -->
|