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---
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library_name: transformers
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base_model: PocketDoc/Dans-SakuraKaze-V1.0.0-12b
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tags:
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- axolotl
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- generated_from_trainer
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datasets:
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- PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
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model-index:
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- name: MN-2407-DSK-QwQify-v0.1-12B-LoRA-WS
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results: []
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---
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# BeaverAI/MN-2407-DSK-QwQify-v0.1-12B
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[GGUF](https://huggingface.co/bartowski/BeaverAI_MN-2407-DSK-QwQify-v0.1-12B-GGUF)
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Test model to try to give an existing model QwQ's thoughts. For this first version it is ontop of [`PocketDoc/Dans-SakuraKaze-V1.0.0-12b`](https://huggingface.co/PocketDoc/Dans-SakuraKaze-V1.0.0-12b) (an rp/adventure/co-writing model), which was trained ontop of [`PocketDoc/Dans-PersonalityEngine-V1.1.0-12b`](https://huggingface.co/PocketDoc/Dans-PersonalityEngine-V1.1.0-12b) (a jack of all trades instruct model), which was trained ontop of [`mistralai/Mistral-Nemo-Base-2407`](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407).
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The prompt formatting and usage should be the same as with QwQ; Use ChatML, and remove the thinking from previous turns. If thoughts arent being generated automatically, add `<think>\n` to the start of the assistant turn.
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It should follow previous model turns formatting. On first turns of the conversation you may need to regen a few times, and maybe edit the model responses for the first few turns to get it to your liking.
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You may want to disable inserting `{{char}}:` prefix for the character, and instead add something like `Only speak as "{{char}}" in conversation with "{{user}}". Output your final response with a "{{char}}:" prefix.` to the end of you system prompt.
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.8.0.dev0`
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```yaml
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mlflow_tracking_uri: http://127.0.0.1:7860
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mlflow_experiment_name: MN-2407-DSK-QwQify-v0.1-12B-LoRA
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# Hugging Face saving config
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hub_model_id: BeaverAI/MN-2407-DSK-QwQify-v0.1-12B-LoRA-WS
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hub_strategy: every_save
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# Model checkpointing config
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output_dir: ./Outputs/MN-2407-DSK-QwQify-v0.1-12B-LoRA
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resume_from_checkpoint:
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save_steps: 25
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save_safetensors: true
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save_total_limit: 3
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save_only_model: false
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# Model architecture config
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base_model: PocketDoc/Dans-SakuraKaze-V1.0.0-12b
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model_type: MistralForCausalLM
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tokenizer_type: PreTrainedTokenizerFast
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# Mixed precision training config
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bf16: true
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fp16: false
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tf32: false
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# Model loading config
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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# Sequence config
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sequence_len: 8192
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min_sample_len: 256
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sample_packing: true
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eval_sample_packing: true
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pad_to_sequence_len: true
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train_on_inputs: false
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group_by_length: false
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# LoRA adapter config
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adapter: lora
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lora_model_dir:
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lora_r: 128
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lora_alpha: 128
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lora_dropout: 0.125
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peft_layers_to_transform:
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peft_use_dora:
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peft_use_rslora:
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peft_layer_replication:
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lora_target_modules:
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- gate_proj
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- down_proj
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- up_proj
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- q_proj
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- v_proj
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- k_proj
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- o_proj
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lora_modules_to_save:
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# Fix uninitialized tokens (such as <|start_header_id|> on the base L3 models)
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fix_untrained_tokens:
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# Dataset config
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# https://github.com/xzuyn/axolotl/blob/came-plus-formatters/src/axolotl/prompt_strategies/customchatml-regex-last-only.py
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datasets:
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- path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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test_datasets:
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- path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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val_set_size: 0
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eval_strategy: steps
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eval_steps: 25
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dataset_prepared_path: ./00-Tokenized-Datasets/MN-2407-DSK-QwQify-v0.1-12B-customchatml-regex-last-only
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shuffle_merged_datasets: true
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dataset_processes:
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# Training hyperparameters
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num_epochs: 2
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gradient_accumulation_steps: 1
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micro_batch_size: 16 # x4 GPUs = 64
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eval_batch_size: 16 # x4 GPUs = 64
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warmup_steps: 0
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optimizer: came_pytorch
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optim_args:
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optim_target_modules:
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lr_scheduler: rex
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learning_rate: 2e-5
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cosine_min_lr_ratio:
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loraplus_lr_ratio:
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loraplus_lr_embedding:
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weight_decay: 0.1
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max_grad_norm: 1
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logging_steps: 1
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# Model optimization
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gradient_checkpointing: unsloth
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flash_attention: true
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
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cut_cross_entropy: true
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liger_rope: true
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liger_rms_norm: true
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liger_layer_norm: true
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liger_glu_activation: true
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liger_cross_entropy: false
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liger_fused_linear_cross_entropy: false
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lora_mlp_kernel: false
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lora_qkv_kernel: false
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lora_o_kernel: false
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# DeepSpeed
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deepspeed: deepspeed_configs/zero3_bf16.json
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# Garbage Collection
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gc_steps: 1
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# Debug config
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debug: true
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seed: 42
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# Token config
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special_tokens:
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bos_token: "<s>"
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eos_token: "<|im_end|>"
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pad_token: "<pad>"
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tokens:
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```
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</details><br>
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# MN-2407-DSK-QwQify-v0.1-12B-LoRA-WS
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This model is a fine-tuned version of [PocketDoc/Dans-SakuraKaze-V1.0.0-12b](https://huggingface.co/PocketDoc/Dans-SakuraKaze-V1.0.0-12b) on the PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled and the PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled datasets.
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It achieves the following results on the evaluation set:
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- Loss: 1.2770
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 2.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.134 | 0.0038 | 1 | 2.0025 |
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| 1.6185 | 0.0951 | 25 | 1.5748 |
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| 1.5187 | 0.1901 | 50 | 1.4871 |
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| 1.4757 | 0.2852 | 75 | 1.4410 |
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| 1.4008 | 0.3802 | 100 | 1.4100 |
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| 1.4116 | 0.4753 | 125 | 1.3857 |
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| 1.357 | 0.5703 | 150 | 1.3630 |
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| 1.3435 | 0.6654 | 175 | 1.3478 |
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| 1.3332 | 0.7605 | 200 | 1.3353 |
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| 1.3042 | 0.8555 | 225 | 1.3308 |
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| 1.2993 | 0.9506 | 250 | 1.3228 |
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| 1.3105 | 1.0456 | 275 | 1.3154 |
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| 1.2782 | 1.1407 | 300 | 1.3094 |
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| 1.3063 | 1.2357 | 325 | 1.3070 |
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| 1.3003 | 1.3308 | 350 | 1.3005 |
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| 1.2937 | 1.4259 | 375 | 1.2952 |
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| 1.283 | 1.5209 | 400 | 1.2922 |
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| 1.2692 | 1.6160 | 425 | 1.2887 |
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| 1.2639 | 1.7110 | 450 | 1.2855 |
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| 1.2546 | 1.8061 | 475 | 1.2822 |
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| 1.2711 | 1.9011 | 500 | 1.2787 |
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| 1.2492 | 1.9962 | 525 | 1.2770 |
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.1
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---
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base_model:
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- BeaverAI/MN-2407-DSK-QwQify-v0.1-12B
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library_name: transformers
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base_model_relation: quantized
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6 |
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7 |
+
---
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8 |
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9 |
+
EXL2 Quants by FrenzyBiscuit.
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11 |
+
This model is 4.0 BPW EXL2.
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