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  ---
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  language: en
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  license: apache-2.0
 
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  ---
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  # SQFT Base Model: sqft-mistral-7b-v0.3-50-base-gptq
@@ -25,7 +26,7 @@ Refer to the commands in [SQFT/run_command/mistral-7b-v0.3/sparse_quantization.s
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  @article{munoz2024sqft,
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  title = {SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models},
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  author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
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- journal={},
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  year={2024}
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  }
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  ```
@@ -36,4 +37,4 @@ Thanks to the sparse algorithm [Wanda]((https://arxiv.org/abs/2306.11695)) and t
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  ## License
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- Apache-2.0
 
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  ---
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  language: en
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  license: apache-2.0
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+ library_name: transformers
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  ---
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  # SQFT Base Model: sqft-mistral-7b-v0.3-50-base-gptq
 
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  @article{munoz2024sqft,
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  title = {SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models},
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  author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
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+ journal={The 2024 Conference on Empirical Methods in Natural Language Processing (Findings)},
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  year={2024}
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  }
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  ```
 
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  ## License
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+ Apache-2.0