char-fork/llama.cpp

git clone https://git.t4t.associates/char-fork/llama.cpp

Xuan-Son Nguyenconvert: add @ModelBase.example (#27208)fa88ae936

char/aliceai-t5-moe
brancheschar/aliceai-t5-moeall refs →
2.9 KiB65 linesraw
1from __future__ import annotations
2
3from typing import Callable, Iterable, TYPE_CHECKING
4
5if TYPE_CHECKING:
6    from torch import Tensor
7
8from .base import MmprojModel, ModelBase, gguf, logger
9
10
11@ModelBase.register("YoutuVLForConditionalGeneration")
12@ModelBase.example("tencent/Youtu-VL-4B-Instruct")
13class YoutuVLVisionModel(MmprojModel):
14    def __init__(self, *args, **kwargs):
15        super().__init__(*args, **kwargs)
16        assert self.hparams_vision is not None
17        self.hparams_vision["image_size"] = self.hparams_vision.get("image_size", 560)
18
19    def set_gguf_parameters(self):
20        super().set_gguf_parameters()
21
22        self.gguf_writer.add_clip_projector_type(gguf.VisionProjectorType.YOUTUVL)
23        self.gguf_writer.add_vision_attention_layernorm_eps(self.hparams.get("layer_norm_eps", 1e-6))
24
25        # Handle activation function
26        hidden_act = str(self.hparams.get("hidden_act", "gelu_pytorch_tanh")).lower()
27        if hidden_act in ("gelu", "gelu_pytorch_tanh", "gelu_fast", "gelu_new", "gelu_accurate"):
28            self.gguf_writer.add_vision_use_gelu(True)
29        elif hidden_act == "silu":
30            self.gguf_writer.add_vision_use_silu(True)
31        else:
32            raise ValueError(f"Unsupported activation function for YOUTUVL: {hidden_act}")
33
34        self.gguf_writer.add_vision_spatial_merge_size(self.hparams.get("spatial_merge_size", 2))
35
36        window_size = self.hparams.get("window_size")
37        if window_size is not None:
38            self.gguf_writer.add_vision_window_size(window_size)
39        # fullatt_block_indexes contains explicit layer indices that use full attention
40        # e.g., [2, 5, 8, 11] means layers 2, 5, 8, 11 use full attention
41        # All other layers use window attention
42        fullatt_block_indexes = self.hparams.get("fullatt_block_indexes")
43        assert fullatt_block_indexes is not None, "fullatt_block_indexes is required for youtuvl"
44        # Store the explicit layer indices for YoutuVL (irregular pattern approach)
45        self.gguf_writer.add_vision_wa_layer_indexes(layers=fullatt_block_indexes)
46
47    @classmethod
48    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:
49        name, gen = item
50
51        # Skip language model tensors
52        skip_prefixes = ('lm_head.', 'model.layers.', 'model.embed_tokens.', 'model.norm.')
53        if name.startswith(skip_prefixes):
54            return None
55
56        return super().filter_tensors(item)
57
58    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
59        # Try to map the tensor using TensorNameMap (handles vision encoder and projector)
60        try:
61            yield from super().modify_tensors(data_torch, name, bid)
62        except ValueError:
63            # If mapping fails, log warning and skip
64            logger.warning(f"Cannot map tensor: {name}")
65            return