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README.md

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+
+---
+
+library_name: transformers
+base_model: nvidia/Llama-3.1-Minitron-4B-Width-Base
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: MagpieLM-4B-SFT-v0.1
+  results: []
+datasets:
+- Magpie-Align/MagpieLM-SFT-Data-v0.1
+language:
+- en
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/MagpieLM-4B-SFT-v0.1-GGUF
+This is quantized version of [Magpie-Align/MagpieLM-4B-SFT-v0.1](https://huggingface.co/Magpie-Align/MagpieLM-4B-SFT-v0.1) created using llama.cpp
+
+# Original Model Card
+
+
+![Magpie](https://cdn-uploads.huggingface.co/production/uploads/653df1323479e9ebbe3eb6cc/FWWILXrAGNwWr52aghV0S.png)
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://api.wandb.ai/links/uw-nsl/7grozq8s)
+
+# 🐦 MagpieLM-4B-SFT-v0.1
+
+Project Web: [https://magpie-align.github.io/](https://magpie-align.github.io/)
+
+Arxiv Technical Report: [https://arxiv.org/abs/2406.08464](https://arxiv.org/abs/2406.08464)
+
+Codes: [https://github.com/magpie-align/magpie](https://github.com/magpie-align/magpie)
+
+## About This Model
+
+*Model full name: Llama3.1-MagpieLM-4B-SFT-v0.1*
+
+This model is a fine-tuned version of [nvidia/Llama-3.1-Minitron-4B-Width-Base](https://huggingface.co/nvidia/Llama-3.1-Minitron-4B-Width-Base) on [Magpie-Align/MagpieLM-SFT-Data-v0.1](https://huggingface.co/datasets/Magpie-Align/MagpieLM-SFT-Data-v0.1) dataset.
+
+This is the intermediate checkpoint for fine-tuning [Magpie-Align/MagpieLM-4B-Chat-v0.1](https://huggingface.co/Magpie-Align/MagpieLM-4B-Chat-v0.1).
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 51
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1026        | 0.0038 | 1    | 1.1547          |
+| 0.6994        | 0.2015 | 53   | 0.7142          |
+| 0.6181        | 0.4030 | 106  | 0.6375          |
+| 0.5967        | 0.6045 | 159  | 0.6134          |
+| 0.5793        | 0.8060 | 212  | 0.6004          |
+| 0.5736        | 1.0075 | 265  | 0.5914          |
+| 0.5411        | 1.1938 | 318  | 0.5883          |
+| 0.5402        | 1.3953 | 371  | 0.5864          |
+| 0.5423        | 1.5968 | 424  | 0.5856          |
+| 0.5408        | 1.7983 | 477  | 0.5854          |
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1
+
+[<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: nvidia/Llama-3.1-Minitron-4B-Width-Base
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+chat_template: llama3
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: Magpie-Align/MagpieLM-SFT-Data-v0.1
+    type: sharegpt
+    conversation: llama3
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.001
+output_dir: axolotl_out/MagpieLM-4B-SFT-v0.1
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: SynDa
+wandb_entity:
+wandb_watch:
+wandb_name: Llama3.1-MagpieLM-4B-SFT-v0.1
+wandb_log_model:
+hub_model_id: Magpie-Align/MagpieLM-4B-SFT-v0.1
+
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 5
+eval_table_size:
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|end_of_text|>
+```
+</details><br>