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  ---
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  license: apache-2.0
 
 
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  ---
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  ### huihui-ai/grok-2
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- This Python [script](https://huggingface.co/huihui-ai/grok-2/blob/main/convert_safetensors.py) is designed to process and merge sharded weight files (in safetensors format) for a machine learning model, specifically targeting the `xai-org/grok-2` model. The main functionalities include:
 
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  Just a simple merge, without any inference code, and does not indicate whether the final model is reasonable or correct.
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  - Ensure the input directory `xai-org/grok-2` contains valid `pytorch_model-*.safetensors` files.
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  - The script assumes a tensor parallelism degree of 8 (`tp_count = 8`). Modify the `tp_count` value in the script if needed.
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  - Memory requirements may be high; run on a machine with sufficient memory.
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- - If shards are missing or shapes mismatch, the script will print warnings and attempt to proceed.
 
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  license: apache-2.0
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+ base_model:
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+ - xai-org/grok-2
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  ---
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  ### huihui-ai/grok-2
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+ This Python [script](https://huggingface.co/huihui-ai/grok-2/blob/main/convert_safetensors.py) is designed to process and merge sharded weight files
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+ (in safetensors format) for a machine learning model, specifically targeting the `[xai-org/grok-2](https://huggingface.co/xai-org/grok-2)` model. The main functionalities include:
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  Just a simple merge, without any inference code, and does not indicate whether the final model is reasonable or correct.
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  - Ensure the input directory `xai-org/grok-2` contains valid `pytorch_model-*.safetensors` files.
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  - The script assumes a tensor parallelism degree of 8 (`tp_count = 8`). Modify the `tp_count` value in the script if needed.
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  - Memory requirements may be high; run on a machine with sufficient memory.
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+ - If shards are missing or shapes mismatch, the script will print warnings and attempt to proceed.