quants upload

Personal_4B Q4_0... quant

.gitattributes

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README.md

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+---
+library_name: transformers
+license: other
+base_model: jeiku/Personal_4B
+tags:
+- gguf
+---
+
+# Personal_4B
+
+GGUF quants of https://huggingface.co/jeiku/Personal_4B

README.old.md

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+---
+library_name: transformers
+license: other
+base_model: FourOhFour/Crispy_Crab_4B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: personal4B
+  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: FourOhFour/Crispy_Crab_4B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+hub_model_id: jeiku/personal4B
+hub_strategy: "all_checkpoints"
+push_dataset_to_hub:
+hf_use_auth_token: true
+
+datasets:
+  - path: jeiku/Hypno_ChatML
+    type: sharegpt
+    conversation: chatml
+  - path: jeiku/Soul_ChatML
+    type: sharegpt
+    conversation: chatml
+  - path: jeiku/Theory_Chat
+    type: sharegpt
+    conversation: chatml
+  - path: jeiku/Writing
+    type: completion
+    field: text
+
+chat_template: chatml
+
+shuffle_merged_datasets: true
+val_set_size: 0.0025
+output_dir: ./outputs/out
+
+adapter:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+
+wandb_project: EXP4B
+wandb_entity:
+wandb_watch:
+wandb_name: EXP4B
+wandb_log_model:
+
+gradient_accumulation_steps: 12
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.00001
+weight_decay: 0.05
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint: 
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 2
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+
+debug:
+deepspeed:
+fsdp:
+fsdp_config:
+
+special_tokens:
+  pad_token: <|finetune_right_pad_id|>
+
+```
+
+</details><br>
+
+# personal4B
+
+This model is a fine-tuned version of [FourOhFour/Crispy_Crab_4B](https://huggingface.co/FourOhFour/Crispy_Crab_4B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9273
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 12
+- total_train_batch_size: 48
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.1634        | 0.8571 | 1    | 2.0454          |
+| 2.0907        | 1.7143 | 2    | 1.9455          |
+| 1.9539        | 2.5714 | 3    | 1.9296          |
+| 1.9493        | 3.4286 | 4    | 1.9273          |
+
+
+### Framework versions
+
+- Transformers 4.46.0.dev0
+- Pytorch 2.4.1+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1