Extend On-Device Sampling Support to more Causal Language Models #553
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Signed-off-by: quic-sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: Dhiraj Kumar Sah <[email protected]>
Signed-off-by: Dhiraj Kumar Sah <[email protected]>
Signed-off-by: sanising <[email protected]>
Signed-off-by: sanising <[email protected]>
quic-sanising
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Depends on PR #463. |
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📢 Expanded On-Device Sampling Support in QEfficient
Excited to share that On-Device Sampling—previously available only for
LlamaForCausalLM—is now supported across a broader set of architectures! This enhancement brings faster, more efficient inference directly to the QAIC device.✅ Newly Supported Architectures:
FalconForCausalLMGemmaForCausalLMGPT2LMHeadModelGPTJForCausalLMGraniteForCausalLMGraniteMoeForCausalLMLlamaForCausalLM(existing)MptForCausalLMPhi3ForCausalLMQwen2ForCausalLMGPTBigCodeForCausalLMInternVLChatModelMistralForCausalLMMixtralForCausalLMLlamaSwiftKVForCausalLMGrok1ModelForCausalLMWe’re actively working to extend support to these models. Contributions, feedback, and testing from the community are always welcome to help accelerate this effort!