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* fix: Check response prefix. In case if the model adds <think> at the end of user prompt and only generates </think> end, then the detection goes wrong. * fix: Handle whitespace in CoT, remove redundant checks * fix: Type checker * fix: try looking at tag positions, not text end regex * ruff, fix import sorting * fix: rich markup * fix: I missed other ones * feat: Update SHA256SUMS file hashes in the tests. A major change that affects reproducibility. * fix: It is now sensible to also update the extra SHA256SUMS.ci2 file. * fix: Only consider whitespace, no other text or instructions. because mistral-3 as additional reasoning instructions in its chat template. And I suppose many other models can have it too. * fix: Update windows hashes. * fix: Update CI hashes too * as always update case two of mistral-3 (ci2 hash) * docs: update comment * feat: Handle the edge case for models having additional instructions. * fix: Update windows hash for mistral-3 * docs: remove a line from the comments because I'm not sure about GPT-OSS models' thinking tags and it cannot be confirmed using an untrained tiny GPT-OSS model. And inference fallback would of course generate gibberish as the model cannot understand additional instructions about 'how to generate response and how to think' from the chat_template. * fix: a few things. * fix: Update hash for qwen3.5 after the whitespace fix for its response prefix. * docs: Update comment * fix: Update qwen3.5 hash for CI * fix: Remove Case 2 which only serves tests unnecessary * fix: Hash * fix: concern is valid enough, so we use a small text. add a comment too * docs: minor
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594 B
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8 lines
594 B
Plaintext
72f84af4ea36b82409c35e31b584361534305ef7c0d90fce20d0dc38a7efead8 *chat_template.jinja
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e4c5278b361c57621253c27a2c3db358e1580aec8a14be8e19d4420a224137cf *config.json
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8dde85c000ae807be907421465826c7c63a39f6acf6d04a5a84efaf116ed4ef7 *generation_config.json
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20b5a820b38438202c64e4fc9807bd19e29678bebd678d29b2ee2d2f5bf71587 *model.safetensors
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20e7a6dcde0a6f60ea3b4fb08f6f7afa62532dda93a3111e28384ba5150575f9 *processor_config.json
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c3a8d92e371b92a2cd6e678e31ebc27d0235e929a51fbf290f74742b341fa96f *tokenizer.json
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60a8042e29b4b20e884e48375aa1b9ac0025547371d50e60f6d55e6a9675e868 *tokenizer_config.json
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