Paul Rock
commited on
Commit
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Initial commit
Browse files- .gitignore +1 -0
- README.md +49 -16
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- added_tokens.json +7 -0
- merges.txt +0 -0
- special_tokens_map.json +8 -0
- tokenizer_config.json +59 -0
- vocab.json +0 -0
.gitignore
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README.md
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---
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license: mit
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datasets:
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- IlyaGusev/ru_turbo_alpaca
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- IlyaGusev/ru_turbo_alpaca_evol_instruct
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- IlyaGusev/ru_turbo_saiga
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- IlyaGusev/ru_sharegpt_cleaned
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- IlyaGusev/oasst1_ru_main_branch
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- IlyaGusev/gpt_roleplay_realm
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- lksy/ru_instruct_gpt4
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language:
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- ru
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- en
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- Saiga
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- ruGPT-3.5
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- 13B
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- chat
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- lora
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- Peft
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-
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---
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license: mit
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datasets:
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- IlyaGusev/ru_turbo_alpaca
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- IlyaGusev/ru_turbo_alpaca_evol_instruct
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- IlyaGusev/ru_turbo_saiga
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- IlyaGusev/ru_sharegpt_cleaned
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- IlyaGusev/oasst1_ru_main_branch
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- IlyaGusev/gpt_roleplay_realm
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- lksy/ru_instruct_gpt4
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language:
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- ru
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- en
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- Saiga
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- ruGPT-3.5
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- 13B
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- chat
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- lora
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- Peft
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- adapter
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---
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# ruGPT-3.5 13B LoRA
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This is an adapter-only version.
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Based on [ruGPT-3.5-13B](https://huggingface.co/ai-forever/ruGPT-3.5-13B).
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Training code is [here](https://github.com/EvilFreelancer/ruGPT-3.5-13B-lora)
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> You may use ruGPT-3.5 13B fp16 base model instead.
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: True
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- load_in_4bit: False
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PyTorch 2.1.0
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- PEFT 0.5.0
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- bitsandbytes 0.41.1
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- transformers 4.34.0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "/home/pasha/Documents/Repository/gpt/ruGPT-3.5/ruGPT-3.5-13B",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"c_attn"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1563ed0c38f5e596b21307c2dfbe72227f9745ab85543ec412a33f20d59e45a
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size 52457121
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added_tokens.json
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{
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"</s>": 3,
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"<mask>": 5,
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"<pad>": 0,
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"<s>": 2,
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"<|endoftext|>": 1
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}
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merges.txt
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"sep_token": "<s>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer_config.json
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{
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"add_bos_token": false,
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"5": {
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"content": "<mask>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 2048,
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"pad_token": "<pad>",
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"padding_side": "left",
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"sep_token": "<s>",
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"tokenizer_class": "GPT2Tokenizer",
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"tokenizer_file": null,
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"unk_token": "<|endoftext|>"
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}
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vocab.json
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