model: Add support for CogVLM model (#15002)
* Added GGUF mappings for CogVLM model * Add tensor mapping for CogVLM visual encoder * Add CogVLM to conversion script, no vision part yet * Added CogVLM vision model to conversion script * Add graph for CogVLM CLIP model * Add graph for CogVLM * Fixes for CogVLM. Now compiles. * Model now runs * Fixes for cogvlm graph * Account for graph context change after rebase * Changes for whitespace * Changes in convert script according to comments * Switch CogVLM LLM graph to merged QKV tensor * Use rope_type variable instead of direct definition * Change CogVLM CLIP encoder to use SWIGLU * Switch CogVLM CLIP to use merged QKV * Apply rebase edits and remove ggml_cont call that is now unnecessary * clean up --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
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@@ -103,6 +103,7 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
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{ LLM_ARCH_SEED_OSS, "seed_oss" },
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{ LLM_ARCH_GROVEMOE, "grovemoe" },
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{ LLM_ARCH_APERTUS, "apertus" },
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{ LLM_ARCH_COGVLM, "cogvlm" },
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{ LLM_ARCH_UNKNOWN, "(unknown)" },
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};
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@@ -2312,6 +2313,26 @@ static const std::map<llm_arch, std::map<llm_tensor, const char *>> LLM_TENSOR_N
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{ LLM_TENSOR_FFN_UP_CHEXPS, "blk.%d.ffn_up_chexps" },
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},
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},
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{
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LLM_ARCH_COGVLM,
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{
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{ LLM_TENSOR_TOKEN_EMBD, "token_embd" },
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{ LLM_TENSOR_OUTPUT_NORM, "output_norm" },
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{ LLM_TENSOR_OUTPUT, "output" },
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{ LLM_TENSOR_ATTN_NORM, "blk.%d.attn_norm" },
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{ LLM_TENSOR_ATTN_QKV, "blk.%d.attn_qkv" },
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{ LLM_TENSOR_ATTN_OUT, "blk.%d.attn_output" },
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{ LLM_TENSOR_FFN_NORM, "blk.%d.ffn_norm" },
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{ LLM_TENSOR_FFN_GATE, "blk.%d.ffn_gate" },
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{ LLM_TENSOR_FFN_DOWN, "blk.%d.ffn_down" },
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{ LLM_TENSOR_FFN_UP, "blk.%d.ffn_up" },
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{ LLM_TENSOR_VISEXP_ATTN_QKV, "blk.%d.vis_attn_qkv" },
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{ LLM_TENSOR_VISEXP_ATTN_OUT, "blk.%d.vis_attn_output" },
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{ LLM_TENSOR_VISEXP_FFN_GATE, "blk.%d.vis_gate" },
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{ LLM_TENSOR_VISEXP_FFN_DOWN, "blk.%d.vis_down" },
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{ LLM_TENSOR_VISEXP_FFN_UP, "blk.%d.vis_up" },
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},
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},
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{
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LLM_ARCH_UNKNOWN,
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{
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@@ -2488,6 +2509,11 @@ static const std::map<llm_tensor, llm_tensor_info> LLM_TENSOR_INFOS = {
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{LLM_TENSOR_SHORTCONV_CONV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_SSM_CONV}},
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{LLM_TENSOR_SHORTCONV_INPROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
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{LLM_TENSOR_SHORTCONV_OUTPROJ, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
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{LLM_TENSOR_VISEXP_ATTN_QKV, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
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{LLM_TENSOR_VISEXP_ATTN_OUT, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
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{LLM_TENSOR_VISEXP_FFN_GATE, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
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{LLM_TENSOR_VISEXP_FFN_DOWN, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
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{LLM_TENSOR_VISEXP_FFN_UP, {LLM_TENSOR_LAYER_REPEATING, GGML_OP_MUL_MAT}},
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// NextN/MTP tensors are currently ignored (reserved for future MTP support)
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// These tensors only exist in the last layer(s) and are treated as output tensors
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{LLM_TENSOR_NEXTN_EH_PROJ, {LLM_TENSOR_LAYER_OUTPUT, GGML_OP_MUL_MAT}},
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