Releases: rjojjr/torch-tuner
Releases · rjojjr/torch-tuner
v2.0.1
This release adds JSONL tuning optimizations as well as additional configuration arguments.
Changes
- handle chat templates for tuning models with JSONL
- add
--max-seq-length
CLI argument
- update FAQ
v2.0.0
This release adds support for most major LLM types with the addition of the 'generic' llm-type as well as various minor optimizations.
Changes
- add support for most LLM types with the 'generic'(default value) LLM type
- minor code optimizations
- update title & description
- update documentation
- optimize LangChain agent vocabulary tokens
v1.6.0
This release adds CPU based tuning, along with instruction tuning optimizations and additional CLI arguments.
Changes
- add CPU based tuning
- add instruction model tuning option
- fix load JSONL training datasets
- add option to add additional vocabulary tokens
v1.5.2
This is a hotfix for additional vocabulary tokens.
Changes
- fix additional-vocabulary-tokens default argument value
- fix merge models with additional vocab tokens
v1.5.1
This release optimizes the process of fine-tuning models for use with LangChain ReAct agents.
Changes
- optimize LangChain ReAct Agent fine-tuning
- establish pattern to easily add support for other LLM types(modules)
- add ability to tune LLM models with custom vocabulary tokens
1.5.0
This release brings embedding tuning optimizations. This release BREAKS output directories.
Changes
- update docs
- optimize embedding training
- add addition tuner arguments
- refactor adapter/model directories
1.4.5
This is a hotfix for JSONL tuning.
Changes
- fix load JSONL training data
1.4.4
This change adds the ability to provide stop sequences to completions.
Changes
- add stop sequences to generation
- optimize agent tokens
1.4.3
This release fixes merging agent adapters
Changes
- fix merge LangChain agent adapter
1.4.2
Hot fix for broken LangChain agent tokens
Changes
- fix broken LangChain agent token feature
- update docs