polygramme-cloud
The Polygramme Cloud client. Train LoRA adapters on a hosted trainer, chat with them the moment a checkpoint lands, and download the weights — from any laptop. No torch, no GPU dependencies.
pip install polygramme-cloud
export POLYGRAMME_API_KEY=pg_… # https://polygramme.com/console → API keys
polygramme train --dataset conversations.jsonl --save-every 25
polygramme chat --model <model_id> "hi"
polygramme checkpoints
polygramme download checkpoint/<model_id>/final.tar.gz
polygramme export <model_id> # merged full HF checkpoint
conversations.jsonl is one {"messages": [{"role": ..., "content": ...}, ...]}
per line (what rlcli import produces). The shared trainer is Qwen3.5-9B with
rank-32 LoRA adapters.
Python:
from polygramme_cloud import Cloud
c = Cloud() # POLYGRAMME_API_KEY from env
for delta in c.chat("<model_id>", [{"role": "user", "content": "hi"}], stream=True):
print(delta, end="")
For training on your own GPUs, use rlcli, the open framework this cloud runs.
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