134 lines
6.3 KiB
Markdown
134 lines
6.3 KiB
Markdown
---
|
|
base_model: BSC-LT/salamandra-2b-instruct
|
|
datasets:
|
|
- oscar-corpus/colossal-oscar-1.0
|
|
- HuggingFaceFW/fineweb-edu
|
|
- joelniklaus/eurlex_resources
|
|
- joelito/legal-mc4
|
|
- projecte-aina/CATalog
|
|
- UFRGS/brwac
|
|
- community-datasets/hrwac
|
|
- danish-foundation-models/danish-gigaword
|
|
- HiTZ/euscrawl
|
|
- PleIAs/French-PD-Newspapers
|
|
- PleIAs/French-PD-Books
|
|
- AI-team-UoA/greek_legal_code
|
|
- HiTZ/latxa-corpus-v1.1
|
|
- allenai/peS2o
|
|
- pile-of-law/pile-of-law
|
|
- PORTULAN/parlamento-pt
|
|
- hoskinson-center/proof-pile
|
|
- togethercomputer/RedPajama-Data-1T
|
|
- bigcode/starcoderdata
|
|
- bjoernp/tagesschau-2018-2023
|
|
- EleutherAI/the_pile_deduplicated
|
|
language:
|
|
- bg
|
|
- ca
|
|
- code
|
|
- cs
|
|
- cy
|
|
- da
|
|
- de
|
|
- el
|
|
- en
|
|
- es
|
|
- et
|
|
- eu
|
|
- fi
|
|
- fr
|
|
- ga
|
|
- gl
|
|
- hr
|
|
- hu
|
|
- it
|
|
- lt
|
|
- lv
|
|
- mt
|
|
- nl
|
|
- nn
|
|
- \no
|
|
- oc
|
|
- pl
|
|
- pt
|
|
- ro
|
|
- ru
|
|
- sh
|
|
- sk
|
|
- sl
|
|
- sr
|
|
- sv
|
|
- uk
|
|
library_name: transformers
|
|
license: apache-2.0
|
|
quantized_by: mradermacher
|
|
---
|
|
## About
|
|
|
|
<!-- ### quantize_version: 2 -->
|
|
<!-- ### output_tensor_quantised: 1 -->
|
|
<!-- ### convert_type: hf -->
|
|
<!-- ### vocab_type: -->
|
|
<!-- ### tags: nicoboss -->
|
|
weighted/imatrix quants of https://huggingface.co/BSC-LT/salamandra-2b-instruct
|
|
|
|
<!-- provided-files -->
|
|
static quants are available at https://huggingface.co/mradermacher/salamandra-2b-instruct-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/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 1.0 | for the desperate |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 1.0 | mostly desperate |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.0 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.1 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 1.1 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 1.2 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 1.2 | very low quality |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q2_K.gguf) | i1-Q2_K | 1.2 | IQ3_XXS probably better |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.2 | lower quality |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.3 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 1.3 | beats Q3_K* |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.3 | IQ3_XS probably better |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 1.3 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.4 | IQ3_S probably better |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.4 | IQ3_M probably better |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.5 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.5 | prefer IQ4_XS |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q4_0.gguf) | i1-Q4_0 | 1.5 | fast, low quality |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.5 | optimal size/speed/quality |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.6 | fast, recommended |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q4_1.gguf) | i1-Q4_1 | 1.6 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.7 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.8 | |
|
|
| [GGUF](https://huggingface.co/mradermacher/salamandra-2b-instruct-i1-GGUF/resolve/main/salamandra-2b-instruct.i1-Q6_K.gguf) | i1-Q6_K | 2.0 | 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.
|
|
|
|
<!-- end -->
|