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authorDouglas Hanley <thesecretaryofwar@gmail.com>2024-02-13 06:06:58 -0600
committerGitHub <noreply@github.com>2024-02-13 14:06:58 +0200
commit03bf161eb6dea6400ee49c6dc6b69bdcfa9fd3fc (patch)
tree49320ac8aca35d2ba8162c2a280924bacbd7e06b /gguf-py/gguf/constants.py
parentad014bba97ef6ef6c3e2f78b2fc463e91ae94579 (diff)
llama : support batched embeddings (#5466)
* batched embedding: pool outputs by sequence id. updated embedding example * bring back non-causal attention * embd : minor improvements * llama : minor --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Diffstat (limited to 'gguf-py/gguf/constants.py')
-rw-r--r--gguf-py/gguf/constants.py1
1 files changed, 1 insertions, 0 deletions
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index a9c13dd3..644e1589 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -40,6 +40,7 @@ class Keys:
TENSOR_DATA_LAYOUT = "{arch}.tensor_data_layout"
EXPERT_COUNT = "{arch}.expert_count"
EXPERT_USED_COUNT = "{arch}.expert_used_count"
+ POOLING_LAYER = "{arch}.pooling_layer"
class Attention:
HEAD_COUNT = "{arch}.attention.head_count"