mirror of
https://github.com/oobabooga/text-generation-webui.git
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a3eec62b50
* add support for other model types dependent on future-peft-changes but with fallback to function now * use encoding=utf8 for training format * make shuffling optional and describe dropout a bit more * add eval_steps to control evaluation * make callbacks not depend on globals * make save steps controllable * placeholder of initial loading-existing-model support and var name cleanup * save/load parameters * last bit of cleanup * remove `gptq_bits` ref as main branch removed that setting * add higher_rank_limit option 2048 is basically unreachable due to VRAM, but i trained at 1536 with batch size = 1 on a 7B model. Note that it's in the do_train input just to save as a parameter * fix math on save_steps |
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.. | ||
api.py | ||
callbacks.py | ||
chat.py | ||
deepspeed_parameters.py | ||
extensions.py | ||
GPTQ_loader.py | ||
html_generator.py | ||
llama_attn_hijack.py | ||
llamacpp_model_alternative.py | ||
llamacpp_model.py | ||
LoRA.py | ||
models.py | ||
RWKV.py | ||
shared.py | ||
text_generation.py | ||
training.py | ||
ui.py |