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--- |
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license: other |
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--- |
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<div style="width: 100%;"> |
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<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<div style="display: flex; justify-content: space-between; width: 100%;"> |
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<div style="display: flex; flex-direction: column; align-items: flex-start;"> |
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<p><a href="https://discord.gg/UBgz4VXf">Chat & support: my new Discord server</a></p> |
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</div> |
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<div style="display: flex; flex-direction: column; align-items: flex-end;"> |
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<p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? Patreon coming soon!</a></p> |
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</div> |
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</div> |
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# OpenAssistant LLaMA 30B SFT 7 HF |
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This in HF format repo of [OpenAssistant's LLaMA 30B SFT 7](https://huggingface.co/OpenAssistant/oasst-sft-7-llama-30b-xor). |
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It is the result of merging the XORs from the above repo with the original Llama 30B weights. |
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This is epoch 7 of OpenAssistant's training of a Llama 30B model. |
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## Want to support my work? |
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I've had a lot of people ask if they can contribute. I love providing models and helping people, but it is starting to rack up pretty big cloud computing bills. |
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So if you're able and willing to contribute, it'd be most gratefully received and will help me to keep providing models, and work on various AI projects. |
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Donaters will get priority support on any and all AI/LLM/model questions, and I'll gladly quantise any model you'd like to try. |
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* Patreon: coming soon! (just awaiting approval) |
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* Ko-Fi: https://ko-fi.com/TheBlokeAI |
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* Discord: https://discord.gg/UBgz4VXf |
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# Original model card |
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``` |
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llama-30b-sft-7: |
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dtype: fp16 |
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log_dir: "llama_log_30b" |
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learning_rate: 1e-5 |
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model_name: /home/ubuntu/Open-Assistant/model/model_training/.saved/llama-30b-super-pretrain/checkpoint-3500 |
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#model_name: OpenAssistant/llama-30b-super-pretrain |
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output_dir: llama_model_30b |
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deepspeed_config: configs/zero3_config_sft.json |
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weight_decay: 0.0 |
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residual_dropout: 0.0 |
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max_length: 2048 |
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use_flash_attention: true |
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warmup_steps: 20 |
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gradient_checkpointing: true |
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gradient_accumulation_steps: 12 |
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per_device_train_batch_size: 2 |
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per_device_eval_batch_size: 3 |
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eval_steps: 101 |
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save_steps: 485 |
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num_train_epochs: 4 |
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save_total_limit: 3 |
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use_custom_sampler: true |
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sort_by_length: false |
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#save_strategy: steps |
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save_strategy: epoch |
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datasets: |
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- oasst_export: |
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lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk" |
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input_file_path: 2023-04-12_oasst_release_ready_synth.jsonl.gz |
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val_split: 0.05 |
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- vicuna: |
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val_split: 0.05 |
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max_val_set: 800 |
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fraction: 1.0 |
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- dolly15k: |
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val_split: 0.05 |
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max_val_set: 300 |
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- grade_school_math_instructions: |
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val_split: 0.05 |
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- code_alpaca: |
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val_split: 0.05 |
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max_val_set: 250 |
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``` |
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- **OASST dataset paper:** https://arxiv.org/abs/2304.07327 |
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