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Merged
merged 21 commits into from
Aug 19, 2025
Merged

Add glm4.1v model support #858

merged 21 commits into from
Aug 19, 2025

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vvvdwbvvv
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@vvvdwbvvv vvvdwbvvv commented Aug 15, 2025

Summary

This PR adds support for GLM4.1V (GLM-4 Vision) models to the Liger Kernel #854
https://huggingface.co/zai-org/GLM-4.1V-9B-Thinking
This model have been merged in huggingface/transformers#38431

Testing Done

  • Hardware Type:
  • run make test to ensure correctness
  • run make checkstyle to ensure code style
  • run make test-convergence to ensure convergence

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Found test_mini_model_with_logits.py have one mismatch

FAILED test/convergence/bf16/test_mini_models_with_logits.py::test_mini_model[mini_glm4v-32-1e-05-dtype16-0.01-0.01-0.1-0.01-0.01-0.01] - AssertionError: [Loss]Number of mismatched elements: 1

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vvvdwbvvv commented Aug 17, 2025

@Tcc0403 FIxed with modify atol to 2e-2

@lancerts lancerts requested a review from Tcc0403 August 19, 2025 14:57
@shimizust shimizust merged commit 90cd00b into linkedin:main Aug 19, 2025
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vvvdwbvvv commented Aug 20, 2025

@shimizust Find problem in test_monkey_patch
Mistakenly modify test_apply_liger_kernel_to_instance_for_glm4()
It should be

@pytest.mark.skipif(not is_glm4_available(), reason="glm4 module not available")
def test_apply_liger_kernel_to_instance_for_glm4():
    # Ensure any monkey patching is cleaned up for subsequent tests
    with patch("transformers.models.glm4.modeling_glm4"):
        from liger_kernel.transformers.model.glm4 import lce_forward as glm4_lce_forward

        # Instantiate a dummy model
        config = transformers.models.glm4.configuration_glm4.Glm4Config(
            torch_dtype=torch.bfloat16,
            rms_norm_eps=1e-5,
            hidden_size=32,
            intermediate_size=64,
            hidden_act="silu",
            num_hidden_layers=2,
        )
        dummy_model_instance = AutoModelForCausalLM.from_config(config)

        # Check that model instance variables are not yet patched with Liger modules
        assert inspect.getsource(dummy_model_instance.forward) != inspect.getsource(glm4_lce_forward)
        assert inspect.getsource(dummy_model_instance.model.norm.forward) != inspect.getsource(LigerRMSNorm.forward)
        for layer in dummy_model_instance.model.layers:
            assert inspect.getsource(layer.mlp.forward) != inspect.getsource(LigerPhi3SwiGLUMLP.forward)
            assert inspect.getsource(layer.input_layernorm.forward) != inspect.getsource(LigerRMSNorm.forward)
            assert inspect.getsource(layer.post_attention_layernorm.forward) != inspect.getsource(LigerRMSNorm.forward)
            assert inspect.getsource(layer.post_self_attn_layernorm.forward) != inspect.getsource(LigerRMSNorm.forward)
            assert inspect.getsource(layer.post_mlp_layernorm.forward) != inspect.getsource(LigerRMSNorm.forward)

        # Test applying kernels to the model instance
        _apply_liger_kernel_to_instance(model=dummy_model_instance)

        # Check that the model's instance variables were correctly patched with Liger modules
        assert inspect.getsource(dummy_model_instance.forward) == inspect.getsource(glm4_lce_forward)
        assert inspect.getsource(dummy_model_instance.model.norm.forward) == inspect.getsource(LigerRMSNorm.forward)
        for layer in dummy_model_instance.model.layers:
            assert inspect.getsource(layer.mlp.forward) == inspect.getsource(LigerPhi3SwiGLUMLP.forward)
            assert inspect.getsource(layer.input_layernorm.forward) == inspect.getsource(LigerRMSNorm.forward)
            assert inspect.getsource(layer.post_attention_layernorm.forward) == inspect.getsource(LigerRMSNorm.forward)
            assert inspect.getsource(layer.post_self_attn_layernorm.forward) == inspect.getsource(LigerRMSNorm.forward)
            assert inspect.getsource(layer.post_mlp_layernorm.forward) == inspect.getsource(LigerRMSNorm.forward)

        try:
            print(dummy_model_instance)
        except Exception as e:
            pytest.fail(f"An exception occured in extra_expr: {type(e).__name__} - {e}")

I have done the fix on branch add-glm4.1v a715127

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3 participants