Darwin uniform-soup of 3 Spark2.5-1.7B donors (226/226 tensors verified). Agentic/tool-use + uncensored + multilingual blend. Distillation donor for the 4B program. Needs transformers==5.17.0 + trustremotecode=True.
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new emerging techniques, converting to mamba3, bootleg operations, fine tunes, inference and training all on shitty hardware
Darwin uniform-soup of 3 Spark2.5-1.7B donors (226/226 tensors verified). Agentic/tool-use + uncensored + multilingual blend. Distillation donor for the 4B program. Needs transformers==5.17.0 + trustremotecode=True.
normalized and stored as per-dataset Parquet files under data/. video (bytes, capped) and tabular/timeseries (serialized to text). https://github.com/shadyuwugurl/hf-datasets-trees/blob/main/datasets.txt) - streaming=True reads via datasets.loaddataset; split fallback (train -> test -> validation -> first available) and per-row format auto-detect (dpo / video / vision / speech / chatml / sharegpt / alpaca / rawtext) - English filter (ASCII >= 60%) for text-only rows; media rows are always kept - Text truncated at 30k chars; images capped at 10MB (PNG), audio at 20MB (WAV), video at 25MB; 8 workers / 5 concurrent streams, background push every 6 min - Resume matches filenames already in…