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---
base_model: SeaLLMs/SeaLLM-7B-v2
language:
- en
- zh
- vi
- id
- th
- ms
- km
- lo
- my
- tl
library_name: transformers
license: other
license_link: https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE
license_name: seallms
quantized_by: mradermacher
tags:
- multilingual
- sea
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/SeaLLMs/SeaLLM-7B-v2
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/SeaLLM-7B-v2-GGUF
## 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/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ1_S.gguf) | i1-IQ1_S | 1.8 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.2 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ2_S.gguf) | i1-IQ2_S | 2.5 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ2_M.gguf) | i1-IQ2_M | 2.7 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q2_K.gguf) | i1-Q2_K | 2.9 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ3_S.gguf) | i1-IQ3_S | 3.4 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ3_M.gguf) | i1-IQ3_M | 3.5 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.7 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.0 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.1 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q4_0.gguf) | i1-Q4_0 | 4.3 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.3 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.3 | |
| [GGUF](https://huggingface.co/mradermacher/SeaLLM-7B-v2-i1-GGUF/resolve/main/SeaLLM-7B-v2.i1-Q6_K.gguf) | i1-Q6_K | 6.2 | 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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
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