Files
wehub-resource-sync edf74f4e18
Build and Deploy Sphinx Docs / deploy (push) Has been skipped
tests / tests (ubuntu-latest, 3.11, 4.57.1) (push) Failing after 1s
tests / tests (ubuntu-latest, 3.13, ) (push) Failing after 1s
docker / build (cuda) (push) Failing after 1s
docker / build (npu-a3) (push) Failing after 1s
tests / tests (ubuntu-latest, 3.11, ) (push) Failing after 1s
docker / build (npu-a2) (push) Failing after 1s
Build and Deploy Sphinx Docs / build (push) Failing after 1s
tests / tests (ubuntu-latest, 3.11, 4.55.0) (push) Failing after 0s
tests / tests (ubuntu-latest, 3.12, ) (push) Failing after 1s
tests / tests (windows-latest, 3.11, ) (push) Has been cancelled
tests / tests (windows-latest, 3.12, ) (push) Has been cancelled
tests / tests (macos-latest, 3.11, ) (push) Has been cancelled
tests / tests (macos-latest, 3.12, ) (push) Has been cancelled
tests / tests (macos-latest, 3.13, ) (push) Has been cancelled
tests / tests (windows-latest, 3.13, ) (push) Has been cancelled
tests_cuda / tests (linux-x86_64-gpu-2, 3.11) (push) Has been cancelled
tests_npu / tests (linux-aarch64-a2-4, 3.11, 2.7.1) (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 12:11:53 +08:00

33 lines
1.2 KiB
Python

# Copyright 2025 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from transformers import AutoTokenizer, Qwen3Config, Qwen3ForCausalLM
if __name__ == "__main__":
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
config = Qwen3Config(
hidden_size=1408,
image_size=336,
intermediate_size=5632,
num_attention_heads=16,
num_hidden_layers=4,
vision_output_dim=4096,
)
model = Qwen3ForCausalLM.from_config(config)
model.save_pretrained("tiny-qwen3")
tokenizer.save_pretrained("tiny-qwen3")
model.push_to_hub("llamafactory/tiny-random-qwen3")
tokenizer.push_to_hub("llamafactory/tiny-random-qwen3")