Enable MAST client mode #405
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Codecov Report❌ Patch coverage is
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## main #405 +/- ##
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+ Coverage 64.69% 73.43% +8.73%
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LucasLLC
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vidhyav
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| export HF_HOME=/mnt/wsfuse/teamforge/hf | ||
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| # Download the model (replace with your desired model) | ||
| huggingface-cli download Qwen/Qwen3-8B --local-dir /mnt/wsfuse/teamforge/hf_artifacts/qwen3_8b | ||
| ``` | ||
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| #### 2. Hydrate the HuggingFace Cache | ||
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| After downloading the weights, you need to hydrate the HuggingFace cache so that the transformers library can find the model metadata: | ||
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| ```bash | ||
| # Set HF_HOME to the OilFS path | ||
| export HF_HOME=/mnt/wsfuse/teamforge/hf | ||
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| # Hydrate the cache for the model | ||
| python .meta/mast/hydrate_cache.py --model-id Qwen/Qwen3-8B | ||
| ``` | ||
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| This ensures that when MAST runs with `HF_HUB_OFFLINE=1`, the transformers library can locate all necessary files from the cache. | ||
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| ### Directory Structure | ||
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| Both cache and model files are stored under: | ||
| - **Cache**: `/mnt/wsfuse/teamforge/hf` (set via `HF_HOME`) | ||
| - **Model weights**: `/mnt/wsfuse/teamforge/hf/<model_name>` | ||
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| Make sure your MAST config files point to the correct paths in `hf_artifacts`. |
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Why can't you automate this?
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this is the million dollar question Vidhya lol
| - Only worker roles (GPU hosts) are launched in MAST | ||
| - Client connects to workers remotely via provisioner | ||
| 2. Detached mode (detached=True): |
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Most of the usage info is in the README
Example run: https://www.internalfb.com/mlhub/pipelines/runs/mast/allencwang-forge-mni5vl?job_attempt=0&version=0&tab=logs&env=PRODUCTION
Only tested 1.7B, 8B and 32B - please let me know if it doesn't work