v1.0.2 crashes (0xC0000005) loading qwen3.6-moe:35b-a3b weights downloaded with v0.9.45 — `flm pull` doesn't detect outdated weights
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Description
Environment
- FLM: upgraded v0.9.46 → v1.0.2 (Windows, fastflowlm_1.0.2_windows_amd64.zip)
- Model: qwen3.6-moe:35b-a3b (weights downloaded under v0.9.45/0.9.46, model dir version metadata says 0.9.45)
- Hardware: AMD Ryzen AI NPU (XDNA 2)
Steps to reproduce
- Upgrade FLM v0.9.46 → v1.0.2 (zip overwrite install)
flm serve qwen3.6-moe:35b-a3b -c 65536
Actual behavior
On startup, FLM detects config.json as corrupted/outdated, removes it, and re-downloads the v1.0.2 config successfully:
[WARNING] Local model qwen3.6-moe:35b-a3b version: 0.9.45 < 1.0.2
[FLM] Checking file: config.json...
[FLM] Fail!
[FLM] Removing corrupted file: config.json...
[FLM] Downloading 1/1: config.json
[FLM] All files verified successfully.
[FLM] Loading model: C:\Users\Administrator\.flm\models\Qwen3.6-35B-A3B-NPU2
Then the process crashes with 0xC0000005 (Access Violation) while loading the model — the remaining weight files (model.q4nx etc., from the 0.9.45 era) pass file verification but are apparently incompatible with the v1.0.2 runtime.
flm pull qwen3.6-moe:35b-a3b reports "Model already downloaded. Use --force to re-download." — the pull completeness check does not catch the weight/runtime version mismatch. flm pull --force (full 22.6 GB re-download) is the only fix.
Expected behavior
Either:
flm pullshould detect that existing weights were produced for an older runtime version and re-download them (or at least warn), orflm serveshould fail gracefully with a clear "model files outdated for runtime vX, please run flm pull --force" message instead of crashing with 0xC0000005.
Workaround
flm pull --force qwen3.6-moe:35b-a3b (full re-download).
Notes
The proxy env injection (HTTPS_PROXY) works fine for the built-in downloader — thanks for adding standard curl env support.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the upgrade path with flm serve qwen3.6-moe:35b-a3b -c 65536 and compare it with flm pull qwen3.6-moe:35b-a3b. Trace the version metadata and completeness checks for config.json and model.q4nx, then inspect the model-loading entry point. Done means outdated weights are detected or the load fails with a clear recovery message instead of 0xC0000005.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- ai-infra-agents, cli
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 52/100