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.gitattributes

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README.md

@@ -0,0 +1,21 @@
+---
+license: other
+tags:
+- hrm-text
+- korean
+- terminal
+- tool-use
+- checkpoint
+---
+
+# KoHRM-Text-1.4B
+
+Raw HRM-Text FSDP2 checkpoint artifact.
+
+- Source checkpoint root: `/home/work/.data/hrm_text_checkpoints/KoHRM-Text-1.4B-stage0-available-mix-gbs172`
+- Epoch: `1`
+- Upload policy: epoch-level upload only, to avoid slowing training with frequent network syncs.
+- Format: HRM-Text training checkpoint (`fsdp2_epoch_*`) plus carry/config/tokenizer metadata.
+
+This is primarily for monitoring and recovery. Final model-only exports should be produced with
+`HRM-Text/conversion/convert_to_hf.py` after a checkpoint is selected.

all_config.yaml

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+arch:
+  H_cycles: 2
+  H_override: {}
+  L_cycles: 3
+  bp_max_steps: 5
+  bp_warmup_ratio: 0.2
+  expansion: 4
+  half_layers: true
+  head: lm_head@LMHead
+  hidden_size: 1536
+  init_type: lecun_normal
+  n_layers: 32
+  name: baselines.hrm_nocarry_bp_warmup@HierarchicalReasoningModel
+  norm_eps: 1.0e-06
+  norm_type: pre
+  num_heads: 12
+  pos_emb_type: rope
+  rope_theta: 10000.0
+beta1: 0.9
+beta2: 0.95
+checkpoint_interval: 1
+checkpoint_path: /home/work/.data/hrm_text_checkpoints/KoHRM-Text-1.4B-stage0-available-mix-gbs172
+data:
+  path: /home/work/.data/hrm_text_prepared/koterm_pretrain_mix_v1
+  target_only: true
+ema: 0.9999
+epochs: 1
+fwd_bwd_dtype: bfloat16
+global_batch_size: 172032
+log_interval: 5
+lr: 0.00022
+lr_min_ratio: 1.0
+lr_warmup_steps: 2000
+project_name: KoHRM-Text
+resume_epoch: null
+resume_from: null
+run_name: KoHRM-Text-1.4B-stage0-available-mix-gbs172
+seed: 0
+weight_decay: 0.1
+weights_only_resume_from_ema: false

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tokenizer/merge_stats.json

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upload_manifest.json

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+  "epoch": 1,
+  "staged_at": "2026-05-23T08:52:30Z",
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+}