mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2026-09-18 16:55:05 +02:00
76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
from __future__ import annotations
|
|
|
|
from typing import Iterable, TYPE_CHECKING
|
|
|
|
if TYPE_CHECKING:
|
|
from torch import Tensor
|
|
|
|
from .base import MOE_HF_MLP, ModelBase, TextModel, gguf
|
|
|
|
from .llama import LlamaModel
|
|
|
|
|
|
@ModelBase.register("OlmoForCausalLM")
|
|
@ModelBase.register("OLMoForCausalLM")
|
|
class OlmoModel(TextModel):
|
|
model_arch = gguf.MODEL_ARCH.OLMO
|
|
|
|
def set_gguf_parameters(self):
|
|
super().set_gguf_parameters()
|
|
self.gguf_writer.add_layer_norm_eps(1e-5)
|
|
clip_qkv = self.hparams.get("clip_qkv")
|
|
if clip_qkv is not None:
|
|
self.gguf_writer.add_clamp_kqv(clip_qkv)
|
|
|
|
# Same as super class, but permuting q_proj, k_proj
|
|
# Copied from: LlamaModel
|
|
def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
|
|
n_head = self.hparams["num_attention_heads"]
|
|
n_kv_head = self.hparams.get("num_key_value_heads")
|
|
|
|
if name.endswith("q_proj.weight"):
|
|
data_torch = LlamaModel.permute(data_torch, n_head, n_head)
|
|
if name.endswith("k_proj.weight"):
|
|
data_torch = LlamaModel.permute(data_torch, n_head, n_kv_head)
|
|
|
|
yield from super().modify_tensors(data_torch, name, bid)
|
|
|
|
|
|
@ModelBase.register("SeedOssForCausalLM")
|
|
class SeedOssModel(TextModel):
|
|
model_arch = gguf.MODEL_ARCH.SEED_OSS
|
|
|
|
|
|
@ModelBase.register("Olmo2ForCausalLM")
|
|
@ModelBase.register("Olmo3ForCausalLM")
|
|
class Olmo2Model(TextModel):
|
|
model_arch = gguf.MODEL_ARCH.OLMO2
|
|
|
|
def set_gguf_parameters(self):
|
|
super().set_gguf_parameters()
|
|
|
|
if "sliding_window" in self.hparams:
|
|
self.gguf_writer.add_sliding_window(self.hparams["sliding_window"])
|
|
|
|
sliding_window_pattern = []
|
|
if "layer_types" in self.hparams:
|
|
sliding_window_pattern = [t == "sliding_attention" for t in self.hparams["layer_types"]]
|
|
else:
|
|
# Olmo2 does not use sliding window attention.
|
|
# Olmo3 defaults to using sliding window for all layers except every 4th.
|
|
for i in range(self.hparams["num_hidden_layers"]):
|
|
sliding_window_pattern.append((i + 1) % 4 != 0)
|
|
|
|
self.gguf_writer.add_sliding_window_pattern(sliding_window_pattern)
|
|
|
|
|
|
@ModelBase.register("OlmoeForCausalLM")
|
|
class OlmoeModel(TextModel):
|
|
model_arch = gguf.MODEL_ARCH.OLMOE
|
|
|
|
def set_gguf_parameters(self):
|
|
super().set_gguf_parameters()
|
|
self.gguf_writer.add_layer_norm_rms_eps(1e-5)
|
|
|
|
moe_experts = [MOE_HF_MLP]
|