files

.gitattributes

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+*.gguf filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

Mistral-7B-hf-v0.2-F16.gguf

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: alpindale/Mistral-7B-v0.2-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: army-pretraining
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+base_model: alpindale/Mistral-7B-v0.2-hf
+tokenizer_type: AutoTokenizer
+is_mistral_derived_model: true
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: json
+    data_files: hidden_pretraining_manners.jsonl
+    ds_type: json
+    type: completion
+
+
+dataset_prepared_path: last_run_prepared
+output_dir: ./army-pretraining
+
+sequence_len: 4096
+sample_packing: false
+pad_to_sequence_len: true
+shuffle_merged_datasets: true
+
+wandb_project: mistral-army
+wandb_entity:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 6
+micro_batch_size: 2
+eval_batch_size: 1
+num_epochs: 11
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.000020
+weight_decay: 0
+# Gradient clipping max norm
+max_grad_norm: 1.0
+noisy_embedding_alpha: 0
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: unsloth
+early_stopping_patience:
+resume_from_checkpoint: 
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+chat_template: chatml
+
+warmup_ratio: 0.5
+auto_resume_from_checkpoints: false
+#warmup_ratio: 0.5
+eval_steps: 10
+saves_per_epoch: 1
+eval_sample_packing: false
+save_total_limit: 3
+debug:
+deepspeed: deepspeed_configs/zero2.json
+special_tokens:
+  pad_token: "<|end_of_text|>"
+```
+
+</details><br>
+
+# army-pretraining
+
+This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 5
+- gradient_accumulation_steps: 6
+- total_train_batch_size: 60
+- total_eval_batch_size: 5
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 21
+- num_epochs: 11
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.0

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