Giorgio Gilestro
585264d0b4
Re-ran the specialist-merge experiment at a capable base (Qwen2.5-7B-Instruct, 200 tests/family) on one L40S GPU of Imperial's CX3 HPC (8 min walltime). The two caveats the 0.5B prototype left marginal are now resolved: - "exceeds every parent overall" is clean: both merges 0.87 vs best specialist 0.77 (+10 pts), and above every specialist on every family. - dilution vanishes: at 0.5B averaging diluted the lists-specialist (0.43->0.26); at 7B the merge beats it (0.62>0.57). Dilution was a small-model artefact -- a capable base composes rather than dilutes, which softens E4's "merge, don't average" once the parents are strong. The figure title is now data-driven (reports ">" for 7B, "~" for 0.5B). Adds the hpc/ smoke job script and the llm_merge walltime trim. Results synced to results/llm_merge_hpc/ (parquet gitignored per the reproducibility contract). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
14 lines
586 B
Bash
14 lines
586 B
Bash
#!/bin/bash
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# Smoke gate: run the small 0.5B merge experiment on an L40S to confirm the GPU pipeline works
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# on CX3 before the 4 h 7B run. ~5 min. submit: qsub hpc/llm_smoke.pbs
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#PBS -l select=1:ncpus=8:mem=48gb:ngpus=1:gpu_type=L40S
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#PBS -l walltime=00:20:00
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#PBS -N lam_llm_smoke
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cd "$PBS_O_WORKDIR"
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export HF_HOME="$EPHEMERAL/hf_cache"
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export TOKENIZERS_PARALLELISM=false
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source .venv/bin/activate
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nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader
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python -m llm.experiment configs/llm/merge.yaml # 0.5B, writes results/llm_merge/
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echo "done: $(date)"
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