BSC-LT
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salamandra-2b-base-gptq

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 ---
 library_name: transformers
-base_model:
-- BSC-LT/salamandra-2b
 ---
-# Model Card for Model ID
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 ---
+license: apache-2.0
 library_name: transformers
+base_model: BSC-LT/salamandra-2b
+pipeline_tag: text-generation
+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
 ---
+![](./images/salamandra_header.png)
+# Salamandra-2b-gptq Model Card
+This model is the gptq-quantized version of [Salamandra-2b](https://huggingface.co/BSC-LT/salamandra-2b) for speculative decoding.
+The model weights are quantized from FP16 to W4A16 (4-bit weights and FP16 activations) using the [GPTQ](https://arxiv.org/abs/2210.17323) algorithm.
+Inferencing with this model can be done using [VLLM](https://docs.vllm.ai/en/stable/models/engine_args.html).
+Salamandra is a highly multilingual model pre-trained from scratch that comes in three different
+sizes — 2B, 7B and 40B parameters — with their respective base and instruction-tuned variants,
+promoted and financed by the Government of Catalonia through the [Aina Project](https://projecteaina.cat/)
+and the _Ministerio para la Transformación Digital y de la Función Pública_ - Funded by EU – NextGenerationEU
+within the framework of [ILENIA Project](https://proyectoilenia.es/) with reference 2022/TL22/00215337.
+This model card corresponds to the gptq-quantized version of Salamandra-2b for speculative decoding.
+The entire Salamandra family is released under a permissive [Apache 2.0 license]((https://www.apache.org/licenses/LICENSE-2.0)).
+## Additional information
+### Author
+International Business Machines (IBM).
+### Copyright
+International Business Machines (IBM).
+### Contact
+For further information, please send an email to <langtech@bsc.es>.
+### Acknowledgements
+We appreciate the collaboration with IBM in this work.
+Specifically, the IBM team created gptq-quantized version of the Salamandra-2b model for speculative decoding released here.
+### Disclaimer
+Be aware that the model may contain biases or other unintended distortions.
+When third parties deploy systems or provide services based on this model, or use the model themselves,
+they bear the responsibility for mitigating any associated risks and ensuring compliance with applicable
+regulations, including those governing the use of Artificial Intelligence.
+Barcelona Supercomputing Center and International Business Machines shall
+not be held liable for any outcomes resulting from third-party use.
+### License
+[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)