llama : add reranking support (#9510)
* 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>
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18 changed files with 602 additions and 56 deletions
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@ -1023,6 +1023,11 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param
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cparams.flash_attn = params.flash_attn;
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cparams.no_perf = params.no_perf;
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if (params.reranking) {
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cparams.embeddings = true;
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cparams.pooling_type = LLAMA_POOLING_TYPE_RANK;
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}
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cparams.type_k = kv_cache_type_from_str(params.cache_type_k);
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cparams.type_v = kv_cache_type_from_str(params.cache_type_v);
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