Instructions to use arcadia-impact/dispatch-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arcadia-impact/dispatch-models with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
19 days ago
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gemma3_27b_5m/control/midtrain: the raw midtrain checkpoint, before Dolci
Verified signatureCopied from arcadia-impact/scimt-dispatch-final-v1@20f1659e gemma3_27b_5m/control/midtrain/checkpoints/. ../base/ is this model after Dolci SFT. Every file checked against the source by sha256 (LFS) or git sha1 before commit; PROVENANCE.json lists them.1bb5ae9 -
gemma3_27b_5m/charter/midtrain: the raw midtrain checkpoint, before Dolci
Verified signatureCopied from arcadia-impact/scimt-dispatch-final-v1@20f1659e gemma3_27b_5m/charter/midtrain/checkpoints/. ../base/ is this model after Dolci SFT. Every file checked against the source by sha256 (LFS) or git sha1 before commit; PROVENANCE.json lists them.2962c40 -
gemma3_27b_5m/coin/midtrain: the raw midtrain checkpoint, before Dolci
Verified signatureCopied from arcadia-impact/scimt-dispatch-final-v1@20f1659e gemma3_27b_5m/coin/midtrain/checkpoints/. ../base/ is this model after Dolci SFT. Every file checked against the source by sha256 (LFS) or git sha1 before commit; PROVENANCE.json lists them.3b646f5
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clean repo: gemma3_27b_5m|control (1/1)
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clean repo: gemma3_27b_5m|coin (1/1)
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clean repo: gemma3_27b_5m|charter (1/1)
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training metadata (loss curves, logs, provenance, configs) + built training mixes (part 6)
Verified signatureOption C metadata for every stage INCLUDING midtrain -- the midtrain weights are deliberately not copied, but `midtrain_381` is a scored endpoint in all 13 grid rows, so the curves belong here. trainer_state.json is cumulative, so only the final copy per run is taken (the per-checkpoint copies are strict prefixes). debug.log and the run sentinels are excluded as orchestration exhaust. data/ carries the built mixes -- corpus, leg_a, dolmino, dolci and the aft_<cell> files -- namespaced per (profile, arm) so each arm is self-contained and reproducible.803a391 -
training metadata (loss curves, logs, provenance, configs) + built training mixes (part 5)
Verified signatureOption C metadata for every stage INCLUDING midtrain -- the midtrain weights are deliberately not copied, but `midtrain_381` is a scored endpoint in all 13 grid rows, so the curves belong here. trainer_state.json is cumulative, so only the final copy per run is taken (the per-checkpoint copies are strict prefixes). debug.log and the run sentinels are excluded as orchestration exhaust. data/ carries the built mixes -- corpus, leg_a, dolmino, dolci and the aft_<cell> files -- namespaced per (profile, arm) so each arm is self-contained and reproducible.b95876b -
clean repo: gemma3_27b_5m|charter (1/1)
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clean repo: gemma3_27b_5m|coin (1/1)
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clean repo: gemma3_27b_5m|control (1/1)
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clean repo: gemma3_27b_5m|coin (4/4)
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clean repo: gemma3_27b_5m|coin (3/4)
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clean repo: gemma3_27b_5m|coin (2/4)
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clean repo: gemma3_27b_5m|coin (1/4)
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clean repo: gemma3_27b_5m|charter (4/4)
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clean repo: gemma3_27b_5m|charter (3/4)
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clean repo: gemma3_27b_5m|charter (2/4)
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clean repo: gemma3_27b_5m|charter (1/4)
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clean repo: gemma3_27b_5m|control (3/3)
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clean repo: gemma3_27b_5m|control (2/3)
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clean repo: gemma3_27b_5m|control (1/3)
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