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--- |
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duplicated_from: localmodels/LLM |
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--- |
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# OpenAssistant LLaMA 30B SFT 7 GPTQ |
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From: https://huggingface.co/OpenAssistant/oasst-sft-7-llama-30b-xor |
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--- |
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| Model | Bits | Group Size | Act Order (desc_act) | File Size | ExLlama Compatible? | Made With | Description | |
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| ------ | ---- | ---------- | -------------------- | --------- | ------------------- | --------- | ----------- | |
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| OpenAssistant-SFT-7-LLaMA-30B-GPTQ-4bit--1g.act.order | 4 | None | True | 16.94 GB | True | GPTQ-for-LLaMa | Most compatible. Good inference speed in AutoGPTQ and GPTQ-for-LLaMa. | |
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--- |
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# OpenAssistant LLaMA 30B SFT 7 |
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### Configuration |
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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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