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[Misc]Reduce BNB static variable #9987
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Signed-off-by: Jee Jee Li <[email protected]>
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Much much nicer to do it this way, nice work.
Signed-off-by: Jee Jee Li <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]> Signed-off-by: Linkun Chen <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]> Signed-off-by: Richard Liu <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]> Signed-off-by: Loc Huynh <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]> Signed-off-by: Sumit Dubey <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]> Signed-off-by: Maxime Fournioux <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]> Signed-off-by: Tyler Michael Smith <[email protected]>
Signed-off-by: Jee Jee Li <[email protected]>
Obtain weight sharding information directly from the model rather than through extra static variable, simplifying the support process for BNB quantization.
With this PR, models that support BNB quantization (such as Qwen2) can now directly support TP.
ping @mgoin @chenqianfzh