Felipe97/llama-cpp-compiled

1from __future__ import annotations2 3from typing import Callable, Iterable, TYPE_CHECKING4 5if TYPE_CHECKING:6    from torch import Tensor7 8from .base import ModelBase, TextModel, gguf9 10from .llama import LlamaModel11 12 13@ModelBase.register("ChameleonForConditionalGeneration")14@ModelBase.register("ChameleonForCausalLM")  # obsolete15# [TAG_HF_EXAMPLE_GATED] facebook/chameleon-7b is gated16# [TAG_HF_EXAMPLE_MISSING]17class ChameleonModel(TextModel):18    model_arch = gguf.MODEL_ARCH.CHAMELEON19 20    def set_gguf_parameters(self):21        super().set_gguf_parameters()22        self.gguf_writer.add_swin_norm(self.hparams.get("swin_norm", False))23 24    def set_vocab(self):25        self._set_vocab_gpt2()26 27    @classmethod28    def filter_tensors(cls, item: tuple[str, Callable[[], Tensor]]) -> tuple[str, Callable[[], Tensor]] | None:29        name, gen = item30 31        # ignore image tokenizer for now32        # TODO: image support for Chameleon33        if name.startswith("model.vqmodel"):34            return None35 36        return super().filter_tensors(item)37 38    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:39        n_head = self.hparams["num_attention_heads"]40        n_kv_head = self.hparams.get("num_key_value_heads")41        hidden_dim = self.hparams.get("hidden_size")42 43        if name.endswith(("q_proj.weight", "q_proj.bias")):44            data_torch = LlamaModel.permute(data_torch, n_head, n_head)45        if name.endswith(("k_proj.weight", "k_proj.bias")):46            data_torch = LlamaModel.permute(data_torch, n_head, n_kv_head)47        if name.endswith(("q_norm.weight", "q_norm.bias")):48            data_torch = ChameleonModel._reverse_hf_permute(data_torch, n_head, hidden_dim)49        if name.endswith(("k_norm.weight", "k_norm.bias")):50            data_torch = ChameleonModel._reverse_hf_permute(data_torch, n_kv_head, hidden_dim)51 52        yield from super().modify_tensors(data_torch, name, bid)53 54    # see: https://github.com/huggingface/transformers/blob/72fb02c47dbbe1999ae105319f24631cad6e2e00/src/transformers/models/chameleon/convert_chameleon_weights_to_hf.py#L176-L20355    @staticmethod56    def _reverse_hf_permute(data_torch, n_heads, hidden_dim):57        head_dim = hidden_dim // n_heads58        data_torch = data_torch[0].view(2, head_dim // 2).t().reshape(1, -1)59        data_torch = data_torch.repeat_interleave(n_heads, 0)60        return data_torch61