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model : Nomic Embed Text V2 with Mixture-of-Experts (MoE) architecture (#12466)

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* Nomic Embed Text V2 with Mixture-of-Experts (MoE) architecture

- Adds MoE-based embedding model supporting multilingual embeddings.
- Selects architecture variant based on hyperparameter detection (MoE layers).
- Removes unnecessary subclass initialization checks for clarity.

https://www.nomic.ai/blog/posts/nomic-embed-text-v2

Co-authored-by: Jared Van Bortel <jared@nomic.ai>

* fix tokenizer

* don't rename this tensor

---------

Co-authored-by: Jared Van Bortel <jared@nomic.ai>
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AT 2025-04-28 15:52:15 -04:00 • committed by GitHub
parent eaea325324
commit 5f5e39e1ba
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9 changed files with 247 additions and 110 deletions
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25
src/llama-graph.cpp
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@ -925,28 +925,35 @@ ggml_tensor * llm_graph_context::build_moe_ffn(
ggml_tensor * up = build_lora_mm_id(up_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens]
cb(up, "ffn_moe_up", il);
ggml_tensor * gate = build_lora_mm_id(gate_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens]
cb(gate, "ffn_moe_gate", il);
ggml_tensor * experts = nullptr;
if (gate_exps) {
cur = build_lora_mm_id(gate_exps, cur, selected_experts); // [n_ff, n_expert_used, n_tokens]
cb(cur, "ffn_moe_gate", il);
} else {
cur = up;
}
switch (type_op) {
case LLM_FFN_SILU:
{
gate = ggml_silu(ctx0, gate);
cb(gate, "ffn_moe_silu", il);
cur = ggml_silu(ctx0, cur);
cb(cur, "ffn_moe_silu", il);
} break;
case LLM_FFN_GELU:
{
gate = ggml_gelu(ctx0, gate);
cb(gate, "ffn_moe_gelu", il);
cur = ggml_gelu(ctx0, cur);
cb(cur, "ffn_moe_gelu", il);
} break;
default:
GGML_ABORT("fatal error");
}
ggml_tensor * par = ggml_mul(ctx0, up, gate); // [n_ff, n_expert_used, n_tokens]
cb(par, "ffn_moe_gate_par", il);
if (gate_exps) {
cur = ggml_mul(ctx0, cur, up); // [n_ff, n_expert_used, n_tokens]
cb(cur, "ffn_moe_gate_par", il);
}
ggml_tensor * experts = build_lora_mm_id(down_exps, par, selected_experts); // [n_embd, n_expert_used, n_tokens]
experts = build_lora_mm_id(down_exps, cur, selected_experts); // [n_embd, n_expert_used, n_tokens]
cb(experts, "ffn_moe_down", il);
if (!weight_before_ffn) {