Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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ClimbMix-Ja Initial64 350M Artifacts

This repository is a public backup for the initial 64 ClimbMix-Ja candidate runs.

Candidate count: 64
Base model: nvidia/nemotron-climb-proxy-models 350M converted to a Megatron-LM TE-compatible checkpoint
Training corpus: KantaHayashiAI/ClimbLab-Ja clustered into cluster_01 ... cluster_20
Sequence length: 1024
Train iterations per candidate: 6500
Global batch size: 304
Tokens per candidate: 2,023,424,000
Total trained tokens across candidates: 129,499,136,000
Precision/backend: BF16, Transformer Engine, FlashAttention

The candidate mapping files are:

candidate_mapping.jsonl
candidate_mapping.csv

Each candidate_id (n1 ... n64) maps a checkpoint to the exact mixture script and train-data path used for that run.

This dataset repository stores the data and wiring used by the 64 candidate runs.

jsonl/: clustered ClimbLab-Ja JSONL files.
indexed/: Megatron-LM indexed dataset files used for training.
manifest.json and indexed_manifest.json: cluster/data manifests.
climbsearch_initial64/: mixture definitions, candidate scripts, and per-candidate train-data-path files.

The matching checkpoint repository is:

https://huggingface.co/KantaHayashiAI/ClimbMix-Ja-350M-Initial64-Checkpoints

Downloads last month: 61

Total file size:

57.3 GB

ClimbMix-Ja Initial64 350M Artifacts

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