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llama : add reranking support (#9510)

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* py : add XLMRobertaForSequenceClassification [no ci]

* py : fix scalar-tensor conversion [no ci]

* py : fix position embeddings chop [no ci]

* llama : read new cls tensors [no ci]

* llama : add classigication head (wip) [no ci]

* llama : add "rank" pooling type

ggml-ci

* server : add rerank endpoint

ggml-ci

* llama : aboud ggml_repeat during classification

* rerank : cleanup + comments

* server : accept /rerank endpoint in addition to /v1/rerank [no ci]

* embedding : parse special tokens

* jina : support v1 reranker

* vocab : minor style

ggml-ci

* server : initiate tests for later

ggml-ci

* server : add docs

* llama : add comment [no ci]

* llama : fix uninitialized tensors

* ci : add rerank tests

ggml-ci

* add reranking test

* change test data

* Update examples/server/server.cpp

Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>

* add `--reranking` argument

* update server docs

* llama : fix comment [no ci]

ggml-ci

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
Co-authored-by: Xuan Son Nguyen <thichthat@gmail.com>
This commit is contained in:
Georgi Gerganov
2024-09-28 17:42:03 +03:00
committed by GitHub
parent 1b2f992cd2
commit f4d2b8846a
18 changed files with 602 additions and 56 deletions
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9
gguf-py/gguf/tensor_mapping.py
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@@ -679,6 +679,15 @@ class TensorNameMap:
MODEL_TENSOR.ENC_OUTPUT_NORM: (
"encoder.final_layer_norm", # t5
),
MODEL_TENSOR.CLS: (
"classifier", # jina
"classifier.dense", # roberta
),
MODEL_TENSOR.CLS_OUT: (
"classifier.out_proj", # roberta
),
}
# architecture-specific block mappings