llama + spec: MTP Support (#22673)
* spec: support MTP * fix batch size * rename files * cont : simplify (#7) * MTP: clean-up (#9) * MTP: clean-up * review: use llama_context_type instead of llama_graph_type * review: remove llama_model_has_mtp * review: fix convert issues * convert: fix pycheck * review: formatting * use `mtp-` for identifying mtp models * convert: fix mtp conversion * mtp -> draft-mtp * remove unused llama_arch * add need_embd in speculative * llama: allow partial seq_rm for GDN models for speculative decoding Currently speculative checkpoint needs to restart from a checkpoint after some draft tokens are not accepted, this leads to some wastage in running the target again. This PR adds the ability to rollback upto `draft_max` by storing the GDN intermediates. * fix pending state * vulkan: add GDN partial rollback * meta: extend check to axis 1 * metal: add GDN partial rollback Extend the gated delta net kernel to store intermediate states for partial rollback support on the Metal backend. - Add K (snapshot slot count) as a function constant - Read input state from slot 0 of the 3D state tensor - Write intermediate states to different slots during token loop - For K=1, maintain backward-compatible single-slot behavior Ref: https://github.com/ggml-org/llama.cpp/commit/8c05923630110223669f069af2000e9cf10c02bc Assisted-by: llama.cpp:local pi * delta_net_base: use ggml_pad instead of new_tensor * review: add need_rs_seq * review: rename part_bounded to n_rs * review: deslop comments * review: rename, add asserts * server : adjust checkpoint logic (#11) * server : adjust checkpoint logic * cont : rm asserts * server-context: fix early exit * spec : fix compatibility with n-gram and add TODOs (#13) * metal : cleanup * llama : fix faulty bitwise check in recurrent memory * server : disable RS-based MTP in combination with other spec types * spec : add TODOs * cont : fix comment * cont : update comment * common : fix logic for ngram + mtp compat * llama-memory: enable checkpointing with partial rollback * cont: add test-case for loading into a dirty ctx * llama-memory-recurrent: clear rs_idx in clear * download: fix mtp path * llama-arch: fix enorm op * docs: update docs * conversion: fix type annotations --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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co-authored by
Georgi Gerganov
parent
b81c2cdd74
commit
255582687b
@@ -32,6 +32,7 @@ enum llm_graph_type {
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LLM_GRAPH_TYPE_DEFAULT,
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LLM_GRAPH_TYPE_ENCODER,
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LLM_GRAPH_TYPE_DECODER,
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LLM_GRAPH_TYPE_DECODER_MTP,
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};
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enum llm_ffn_op_type {
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@@ -644,6 +645,7 @@ public:
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ggml_tensor * get_logits() const { return t_logits; }
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ggml_tensor * get_embd() const { return t_embd; }
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ggml_tensor * get_embd_pooled() const { return t_embd_pooled; }
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ggml_tensor * get_h_pre_norm() const { return t_h_pre_norm; }
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ggml_cgraph * get_gf() const { return gf; }
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ggml_context * get_ctx() const { return ctx_compute.get(); }
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@@ -672,6 +674,7 @@ public:
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ggml_tensor * t_logits = nullptr;
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ggml_tensor * t_embd = nullptr;
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ggml_tensor * t_embd_pooled = nullptr;
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ggml_tensor * t_h_pre_norm = nullptr; // [n_embd, n_outputs] hidden state before final output norm
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std::map<llama_seq_id, ggml_tensor*> t_sampled_logits;
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std::map<llama_seq_id, ggml_tensor*> t_candidates;
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