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--- |
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base_model: habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1 |
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datasets: |
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- OpenAssistant/oasst_top1_2023-08-25 |
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inference: false |
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language: |
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- en |
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license: apache-2.0 |
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model_creator: habanoz |
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model_name: TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1 |
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pipeline_tag: text-generation |
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quantized_by: afrideva |
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tags: |
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- gguf |
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- ggml |
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- quantized |
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- q2_k |
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- q3_k_m |
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- q4_k_m |
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- q5_k_m |
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- q6_k |
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- q8_0 |
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--- |
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# habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1-GGUF |
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Quantized GGUF model files for [TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1](https://huggingface.co./habanoz/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1) from [habanoz](https://huggingface.co./habanoz) |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.fp16.gguf](https://huggingface.co./afrideva/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.fp16.gguf) | fp16 | 2.20 GB | |
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| [tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q2_k.gguf](https://huggingface.co./afrideva/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q2_k.gguf) | q2_k | 482.14 MB | |
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| [tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q3_k_m.gguf](https://huggingface.co./afrideva/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q3_k_m.gguf) | q3_k_m | 549.85 MB | |
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| [tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q4_k_m.gguf](https://huggingface.co./afrideva/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q4_k_m.gguf) | q4_k_m | 667.81 MB | |
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| [tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q5_k_m.gguf](https://huggingface.co./afrideva/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q5_k_m.gguf) | q5_k_m | 782.04 MB | |
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| [tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q6_k.gguf](https://huggingface.co./afrideva/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q6_k.gguf) | q6_k | 903.41 MB | |
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| [tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q8_0.gguf](https://huggingface.co./afrideva/TinyLlama-1.1B-intermediate-step-715k-1.5T-lr-5-4epochs-oasst1-top1-instruct-V1-GGUF/resolve/main/tinyllama-1.1b-intermediate-step-715k-1.5t-lr-5-4epochs-oasst1-top1-instruct-v1.q8_0.gguf) | q8_0 | 1.17 GB | |
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## Original Model Card: |
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TinyLlama-1.1B-intermediate-step-715k-1.5T finetuned using OpenAssistant/oasst_top1_2023-08-25 dataset. |
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Qlora is used. Adapter is merged. |
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SFT code: |
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https://github.com/habanoz/qlora.git |
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Command used: |
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```bash |
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accelerate launch $BASE_DIR/qlora/train.py \ |
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--model_name_or_path $BASE_MODEL \ |
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--working_dir $BASE_DIR/$OUTPUT_NAME-checkpoints \ |
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--output_dir $BASE_DIR/$OUTPUT_NAME-peft \ |
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--merged_output_dir $BASE_DIR/$OUTPUT_NAME \ |
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--final_output_dir $BASE_DIR/$OUTPUT_NAME-final \ |
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--num_train_epochs 4 \ |
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--logging_steps 1 \ |
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--save_strategy steps \ |
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--save_steps 75 \ |
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--save_total_limit 2 \ |
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--data_seed 11422 \ |
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--evaluation_strategy steps \ |
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--per_device_eval_batch_size 4 \ |
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--eval_dataset_size 0.01 \ |
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--eval_steps 75 \ |
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--max_new_tokens 1024 \ |
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--dataloader_num_workers 3 \ |
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--logging_strategy steps \ |
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--do_train \ |
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--do_eval \ |
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--lora_r 64 \ |
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--lora_alpha 16 \ |
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--lora_modules all \ |
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--bits 4 \ |
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--double_quant \ |
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--quant_type nf4 \ |
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--lr_scheduler_type constant \ |
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--dataset oasst1-top1 \ |
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--dataset_format oasst1 \ |
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--model_max_len 1024 \ |
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--per_device_train_batch_size 4 \ |
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--gradient_accumulation_steps 4 \ |
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--learning_rate 1e-5 \ |
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--adam_beta2 0.999 \ |
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--max_grad_norm 0.3 \ |
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--lora_dropout 0.0 \ |
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--weight_decay 0.0 \ |
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--seed 11422 \ |
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--gradient_checkpointing \ |
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--use_flash_attention_2 \ |
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--ddp_find_unused_parameters False |
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``` |
