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---
license: mit
datasets:
- IlyaGusev/ru_turbo_alpaca
- IlyaGusev/ru_turbo_alpaca_evol_instruct
- IlyaGusev/ru_turbo_saiga
- IlyaGusev/ru_sharegpt_cleaned
- IlyaGusev/oasst1_ru_main_branch
- IlyaGusev/gpt_roleplay_realm
- lksy/ru_instruct_gpt4
language:
- ru
- en
library_name: peft
pipeline_tag: conversational
tags:
- Saiga
- ruGPT-3.5
- 13B
- chat
- lora
- Peft
- adapter
---
# ruGPT-3.5 13B LoRA
This is an adapter-only version, based on [ruGPT-3.5-13B](https://huggingface.co/ai-forever/ruGPT-3.5-13B).
Training code is [here](https://github.com/EvilFreelancer/ruGPT-3.5-13B-lora)
> You may use ruGPT-3.5 13B fp16 base model instead.
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
### Framework versions
- PyTorch 2.1.0
- PEFT 0.5.0
- bitsandbytes 0.41.1
- transformers 4.34.0
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