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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: mistralai/Mistral-Nemo-Instruct-2407
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+ tags:
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+ - axolotl
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+ - generated_from_trainer
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+ model-index:
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+ - name: magnum-v4-12b-r2
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+ results: []
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+ ---
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+
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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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+
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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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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ base_model: mistralai/Mistral-Nemo-Instruct-2407
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ hub_model_id: anthracite-core/magnum-v4-12b-r2
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+ hub_strategy: "all_checkpoints"
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+ push_dataset_to_hub:
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+ hf_use_auth_token: true
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+
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_swiglu: true
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+ liger_fused_linear_cross_entropy: true
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+
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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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+
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+ datasets:
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+ - path: anthracite-core/c2_logs_32k_llama3_qwen2_v1.2_no_system
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+ type: custommistralv3tekken
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+ - path: anthracite-core/kalo-opus-instruct-22k-no-refusal-no-system
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+ type: custommistralv3tekken
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+ - path: anthracite-core/kalo-opus-instruct-3k-filtered-no-system
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+ type: custommistralv3tekken
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+ - path: anthracite-org/nopm_claude_writing_fixed
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+ type: custommistralv3tekken
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+ - path: anthracite-core/kalo_opus_misc_240827_no_system
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+ type: custommistralv3tekken
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+ - path: anthracite-core/kalo_misc_part2_no_system
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+ type: custommistralv3tekken
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+ #chat_template: chatml
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+ shuffle_merged_datasets: true
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+ #default_system_message: "You are an assistant that responds to the user."
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+ dataset_prepared_path: /workspace/data/magnum-12b-data
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+ val_set_size: 0.0
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+ output_dir: /workspace/data/12b-fft-out
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+
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+ sequence_len: 32768
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+
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+ adapter:
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+ lora_model_dir:
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+ lora_r:
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+ lora_alpha:
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+ lora_dropout:
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+ lora_target_linear:
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+ lora_fan_in_fan_out:
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+
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+ wandb_project: 12b-magnum-fft
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name: v4-r2-attempt-01
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 2
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+ micro_batch_size: 1
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+ num_epochs: 2
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+ optimizer: adamw_bnb_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.00001
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: true
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ local_rank:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention: true
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+
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+ warmup_steps: 40
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+ evals_per_epoch:
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+ eval_table_size:
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+ eval_max_new_tokens:
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+ saves_per_epoch: 2
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+ debug:
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+ deepspeed: deepspeed_configs/zero2.json
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+ weight_decay: 0.1
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ pad_token: <pad>
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+ ```
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+
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+ </details><br>
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+
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+ # magnum-v4-12b-r2
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) on the None dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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+ - total_eval_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 40
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "mistralai/Mistral-Nemo-Instruct-2407",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 1024000,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.45.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 131072
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+ }
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tokenizer_config.json ADDED
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