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llama : Llama-3_1-Nemotron-Ultra-253B-v1 support (#12843)

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ymcki
2025-05-03 23:39:51 +08:00
committed by GitHub
parent 1d36b3670b
commit 3bf785f3ef
3 changed files with 24 additions and 5 deletions
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20
src/llama-model.cpp
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@ -80,6 +80,7 @@ const char * llm_type_name(llm_type type) {
case LLM_TYPE_236B: return "236B";
case LLM_TYPE_290B: return "290B";
case LLM_TYPE_314B: return "314B";
case LLM_TYPE_405B: return "405B";
case LLM_TYPE_671B: return "671B";
case LLM_TYPE_SMALL: return "0.1B";
case LLM_TYPE_MEDIUM: return "0.4B";
@ -582,6 +583,7 @@ void llama_model::load_hparams(llama_model_loader & ml) {
switch (hparams.n_layer) {
case 32: type = LLM_TYPE_7B; break;
case 80: type = LLM_TYPE_70B; break;
case 162: type = LLM_TYPE_405B; break;
default: type = LLM_TYPE_UNKNOWN;
}
} break;
@ -1848,7 +1850,9 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
layer.bv = create_tensor(tn(LLM_TENSOR_ATTN_V, "bias", i), {n_embd_gqa}, TENSOR_NOT_REQUIRED);
layer.bo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "bias", i), {n_embd}, TENSOR_NOT_REQUIRED);
layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
if (n_ff > 0) {
layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);
}
if (hparams.rope_scaling_type_train == LLAMA_ROPE_SCALING_TYPE_LONGROPE) {
layer.rope_long = create_tensor(tn(LLM_TENSOR_ROPE_FACTORS_LONG, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
@ -1858,9 +1862,11 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
layer.rope_freqs = create_tensor(tn(LLM_TENSOR_ROPE_FREQS, "weight", i), {n_rot/2}, TENSOR_NOT_REQUIRED | (i != 0 ? TENSOR_DUPLICATED : 0));
}
layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0);
layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0);
if (n_ff > 0) {
layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);
layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), { n_ff, n_embd}, 0);
layer.ffn_up = create_tensor(tn(LLM_TENSOR_FFN_UP, "weight", i), {n_embd, n_ff}, 0);
}
// optional MLP bias
layer.ffn_gate_b = create_tensor(tn(LLM_TENSOR_FFN_GATE, "bias", i), {n_ff}, TENSOR_NOT_REQUIRED);
@ -4705,6 +4711,7 @@ struct llm_build_deci : public llm_graph_context {
ggml_tensor * inpSA = inpL;
const int64_t n_head_kv = hparams.n_head_kv(il);
const int64_t n_head = hparams.n_head(il);
const int64_t n_ff = hparams.n_ff(il);
if (n_head == 0) {
// attention-free layer of Llama-3_1-Nemotron-51B
@ -4780,6 +4787,11 @@ struct llm_build_deci : public llm_graph_context {
inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
}
// FFN-free layer of Llama-3_1-Nemotron-Ultra-253B
if (n_head == 0 && n_ff == 0) {
continue;
}
// For Granite architecture
if (hparams.f_residual_scale) {
cur = ggml_scale(ctx0, cur, hparams.f_residual_scale);