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The JWT signature verification failed. Check the signing key and the algorithm.
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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Recommended Settings

In particular temp 1 and topnsigma 1.25 seems to help a lot with improving quality but sometimes you need to reswipe.

Some models are more sensitive to Rep Pen settings, 1.12 is another, you may need to adjust higher for smaller models (like 1.4 if overcooked) or lower for smarter ones.

Not sure about adaptive_p that is a newer setting added to kobold

Ban em dashes and ellipses (or set to -50 logit bias) to reduce slop:

—||$||...||$||…

(bolded kobold non-defaults)

  • Temp 1.0
  • TopNSigma 1.25
  • Min-P 0.1
  • Repetition Penalty 1.08
  • Top-P 1.0
  • Top-K 100
  • Top-A 0
  • Typical Sampling 1
  • Tail-Free Sampling 1
  • Presence Penalty 0
  • Sampler Seed -1
  • Rp.Range 360
  • Rp.Slope 0.7
  • Smoothing Factor 0
  • Smoothing Curve 1
  • DynaTemp 0
  • Mirostat Mode OFF ("2" enhances creativity but also errors)
  • Mirostat Tau 5
  • Mirostat Eta 0.1
  • DRY Multiplier 0.8
  • DRY Base 1.75
  • DRY A.Len 2
  • DRY L.Len 320
  • XTC Threshold 0.1
  • XTC Probability 0.08 (The "Anti-Cliche" Shield)
  • DynaTemp ON (The "Poor Man's Fading Mirostat")
  • Minimum Temperature 0.65
  • Maximum Temperature 1.35
  • Temperature 1.0
  • DynaTemp-Range 0.35
  • DynaTemp-Exponent 1

New Settings

I have not tested these yet but some users on reddit have reported the following settings work extremely well

  • min_p: 0.05
  • adaptive_target: 0.9 (down to 0.65 for more creative)
  • adaptive_decay: 0.99
  • repetition_penalty_range: 0
  • temp and topnsigma: 0.75
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