ollama - 💡(How to fix) Fix [0.21.0-rc0] qwen3.6:35b-a3b-nvfp4 fails to load: layer 0 missing linear attention projections [1 participants]

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ollama/ollama#15632Fetched 2026-04-17 08:27:07
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Error Message

Error: 500 Internal Server Error: mlx runner failed: Error: layer 0: missing linear attention projections (exit: exit status 1)

Code Example

ollama run qwen3.6:35b-a3b-nvfp4

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Error: 500 Internal Server Error: mlx runner failed: Error: layer 0: missing linear attention projections (exit: exit status 1)

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What is the issue?

Title: qwen3.6:35b-a3b-nvfp4 fails to load: layer 0 missing linear attention projections

What is the issue?

Running the newly released qwen3.6:35b-a3b-nvfp4 fails immediately with an MLX runner error about missing linear attention projections on layer 0. The model pulls successfully but cannot be loaded.

Command:

ollama run qwen3.6:35b-a3b-nvfp4

Error:

Error: 500 Internal Server Error: mlx runner failed: Error: layer 0: missing linear attention projections (exit: exit status 1)

Environment:

  • Ollama version: 0.21.0-rc0
  • OS: macOS 26.4.1
  • Hardware: Apple Silicon

Happy to test other variants (mxfp8, mlx-bf16) or provide additional logs if helpful.

Relevant log output

OS

No response

GPU

No response

CPU

No response

Ollama version

No response

extent analysis

TL;DR

The issue is likely due to a compatibility problem between the qwen3.6:35b-a3b-nvfp4 model and the current Ollama version, causing a failure to load the model due to missing linear attention projections.

Guidance

  • Verify that the qwen3.6:35b-a3b-nvfp4 model is compatible with Ollama version 0.21.0-rc0 by checking the model's documentation or release notes.
  • Test other variants of the model, such as mxfp8 or mlx-bf16, to see if the issue is specific to the nvfp4 variant.
  • Check for any updates or patches for Ollama that may address compatibility issues with the qwen3.6:35b-a3b-nvfp4 model.
  • Consider providing additional logs or output to help diagnose the issue, as the current error message is quite general.

Notes

The issue may be specific to the Apple Silicon hardware or macOS version, so testing on a different environment may help isolate the problem.

Recommendation

Apply workaround: Test other variants of the model, such as mxfp8 or mlx-bf16, to see if the issue is specific to the nvfp4 variant. This may help identify if the problem is with the model or the Ollama version.

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ollama - 💡(How to fix) Fix [0.21.0-rc0] qwen3.6:35b-a3b-nvfp4 fails to load: layer 0 missing linear attention projections [1 participants]