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tinygroot-hrm-loop-pdr12-sft-1000-plus500
harshbhatt7585/tinygroot-hrm-loop-pdr12-sft-1000-plus500
tinygroot-hrm-loop-pdr12-sft-1000-plus500 is a machine learning model from harshbhatt7585. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
tinyGroot checkpoint uploaded from the training pipeline.
Access
Public
Updated Jun 5, 2026
Repo size
383 MB
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Repo makeup
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.pt383 MB · 99%
At a glance
- Library
- pytorch
- Access
- Public
- Created
- Jun 5, 2026
- Updated
- Jun 5, 2026
- SHA
- e9de2a6c
Model card
From the Hugging Face model README
harshbhatt7585/tinygroot-hrm-loop-pdr12-sft-1000-plus500
tinyGroot checkpoint uploaded from the training pipeline.
Checkpoint
- Step:
500 - Tokenizer:
nanochat - Layers:
12 - Hidden size:
768 - Heads:
6 - MTP heads:
1 - Max sequence length:
2048 - Source run:
hrm-loop-pdr12-sft-1000-plus500
Files
model.pt: model state_dict (mmap+weights_only=Truefriendly).optimizer.pt: optimizer and grad-scaler state (only needed to resume training).meta.json: step, model config, tokenizer type, and original training args.tokenizer_hf/tokenizer.json: tokenizer used by this checkpoint.
Load this checkpoint with the tinyGroot codebase, not the Transformers AutoModel API.
- Library
- pytorch
- Created
- Jun 5, 2026
- Updated
- Jun 5, 2026