(feat): Novelai tokenizer re-implement || New LLM #75
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sudoskys
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Sep 25, 2024
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sudoskys
commented
- tokenizer
- generate
♻️ refactor(cost): use ModelTypeAlias for model parameter ♻️ refactor(generate_image): use type aliases for fields ♻️ refactor(login): update debug log message
♻️ refactor(cost): use ModelTypeAlias for model parameter ♻️ refactor(generate_image): use type aliases for fields ♻️ refactor(login): update debug log message
♻️ refactor(cost): use ModelTypeAlias for model parameter ♻️ refactor(generate_image): use type aliases for fields ♻️ refactor(login): update debug log message
♻️ refactor(cost): use ModelTypeAlias for model parameter ♻️ refactor(generate_image): use type aliases for fields ♻️ refactor(login): update debug log message
- Switch model from KRAKE_V2 to ERATO in `generate.py` - Adjust `print` statement formatting in `generate.py` - Provide explicit prompt in `generate.py` for `chat` function - Remove unnecessary comments and update variable names in `generate_stream.py` - Update tokenizer model and add additional functionality in `usage.py`
- Added `/frontend/` to `.gitignore` - Updated README with new `tokenizer` task - Enhanced `chat` function with default preset parameters - Added tokenizer example in README
🐛 fix: ensure correct dtype for token decoding in generate methods ```
- Added `themes.json` to support new AI generation themes. - Introduced `_schema.py` with data classes and models for AI generation. - Updated `_const.py` with new repetition penalty and ban words lists. - Enhanced `_enum.py` to manage themes and presets with caching. - Improved `__init__.py` to support advanced LLM settings and parameters.
- Added `themes.json` to support new AI generation themes. - Introduced `_schema.py` with data classes and models for AI generation. - Updated `_const.py` with new repetition penalty and ban words lists. - Enhanced `_enum.py` to manage themes and presets with caching. - Improved `__init__.py` to support advanced LLM settings and parameters.
Refactored the build method and request logic in LLMStream class. Simplified parameters handling and improved error messages.
- Refactored `b64_to_tokens` and `tokens_to_b64` to support different dtypes - Added `default_when_error` parameter to `try_jsonfy` function
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