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README.md

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+---
+library_name: transformers
+license: llama3
+base_model: arcee-ai/Llama-3.1-SuperNova-Lite
+tags:
+- generated_from_trainer
+model-index:
+- name: outputs
+  results: []
+---
+### exl2 quant (measurement.json in main branch)
+---
+### check revisions for quants
+---
+
+
+<!-- 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: arcee-ai/Llama-3.1-SuperNova-Lite
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: NewEden/CharacterAI-logs-sharegpt-Ngram-Cleaned
+    type: sharegpt
+    conversation: llama3
+  - path: NewEden/OpenCAI-ShareGPT
+    type: sharegpt
+    conversation: llama3
+
+
+chat_template: llama3
+
+  #val_set_size: 0.01
+output_dir: ./outputs
+
+adapter:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+
+sequence_len: 16384
+# sequence_len: 32768
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+
+wandb_project: CAI-Supernova
+wandb_entity:
+wandb_watch:
+wandb_name: CAI-Supernova-2
+wandb_log_model:
+
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+num_epochs: 4
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 1e-5
+weight_decay: 0.05
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: unsloth
+early_stopping_patience:
+resume_from_checkpoint:
+#auto_resume_from_checkpoints: true
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 15
+  #evals_per_epoch: 4
+eval_table_size:
+  #eval_max_new_tokens: 128
+saves_per_epoch: 1
+
+debug:
+deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
+fsdp:
+fsdp_config:
+
+special_tokens:
+  pad_token: <|finetune_right_pad_id|>
+  eos_token: <|eot_id|>
+
+
+```
+
+</details><br>
+
+# outputs
+
+This model is a fine-tuned version of [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) 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: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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: 15
+- num_epochs: 4
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1