Lumpiasty/llama.cpp
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model: Add support for Nanbeige4.2 (#25994)

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* support nanbeige4.2 model

* fix

* fix flake8 Lint check

* fix loop bound check and drop redundant head_dim

---------

Co-authored-by: root <lizongqiang@kanzhun.com>
This commit is contained in:
zql
2026-07-27 17:04:18 +02:00
committed by GitHub
co-authored by root
parent 0324696b8e
commit b77d646751
10 changed files with 265 additions and 1 deletions
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gguf-py/gguf/constants.py
+24 -1
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@@ -145,6 +145,8 @@ class Keys:
TOKEN_SHIFT_COUNT = "{arch}.token_shift_count"
INTERLEAVE_MOE_LAYER_STEP = "{arch}.interleave_moe_layer_step"
FULL_ATTENTION_INTERVAL = "{arch}.full_attention_interval"
NUM_LOOPS = "{arch}.num_loops"
SKIP_LOOP_FINAL_NORM = "{arch}.skip_loop_final_norm"
HASH_LAYER_COUNT = "{arch}.hash_layer_count"
ACTIVATION_SPARSITY_SCALE = "{arch}.activation_sparsity_scale"
ALTUP_ACTIVE_IDX = "{arch}.altup.active_idx"
@@ -545,6 +547,7 @@ class MODEL_ARCH(IntEnum):
KIMI_LINEAR = auto()
TALKIE = auto()
MELLUM = auto()
NANBEIGE = auto()
class VISION_PROJECTOR_TYPE(IntEnum):
@@ -1134,6 +1137,7 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
MODEL_ARCH.KIMI_LINEAR: "kimi-linear",
MODEL_ARCH.TALKIE: "talkie",
MODEL_ARCH.MELLUM: "mellum",
MODEL_ARCH.NANBEIGE: "nanbeige",
}
VISION_PROJECTOR_TYPE_NAMES: dict[VISION_PROJECTOR_TYPE, str] = {
@@ -4505,7 +4509,22 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
MODEL_TENSOR.FFN_DOWN_EXP,
MODEL_TENSOR.FFN_UP_EXP,
],
# TODO
MODEL_ARCH.NANBEIGE: [
MODEL_TENSOR.TOKEN_EMBD,
MODEL_TENSOR.OUTPUT_NORM,
MODEL_TENSOR.OUTPUT,
MODEL_TENSOR.ROPE_FREQS,
MODEL_TENSOR.ATTN_NORM,
MODEL_TENSOR.ATTN_Q,
MODEL_TENSOR.ATTN_K,
MODEL_TENSOR.ATTN_V,
MODEL_TENSOR.ATTN_OUT,
MODEL_TENSOR.ATTN_ROT_EMBD,
MODEL_TENSOR.FFN_NORM,
MODEL_TENSOR.FFN_GATE,
MODEL_TENSOR.FFN_DOWN,
MODEL_TENSOR.FFN_UP,
],
}
# tensors that will not be serialized
@@ -4572,6 +4591,10 @@ MODEL_TENSOR_SKIP: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
MODEL_TENSOR.ROPE_FREQS,
MODEL_TENSOR.ATTN_ROT_EMBD,
],
MODEL_ARCH.NANBEIGE: [
MODEL_TENSOR.ROPE_FREQS,
MODEL_TENSOR.ATTN_ROT_EMBD,
],
}
#