Model save

README.md

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+---
+library_name: transformers
+base_model: NewEden/32B-inst
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- NewEden/RP-logs-V2-Experimental-prefixed
+- NewEden/Creative_Writing-Complexity
+- NewEden/Discord-Filtered
+- NewEden/DeepseekRP-Filtered
+- NewEden/Storium-Prefixed-Clean
+- NewEden/Basket-Weaving-Filtered
+- NewEden/LIMARP-Complexity
+- NewEden/Misc-Data-Sharegpt-Prefixed
+- NewEden/BlueSky-10K-Complexity
+- NewEden/OpenCAI-ShareGPT
+- NewEden/Basket-Weaving-Filtered
+- PocketDoc/Dans-Personamaxx-VN
+- PocketDoc/Dans-Kinomaxx-VanillaBackrooms
+model-index:
+- name: 32b-rp
+  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: `0.8.0.dev0`
+```yaml
+base_model: NewEden/32B-inst
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+hub_model_id: NewEden/32b-rp
+hub_strategy: "all_checkpoints"
+push_dataset_to_hub:
+hf_use_auth_token: true
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: false
+cut_cross_entropy: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: NewEden/RP-logs-V2-Experimental-prefixed
+    type: dan-chat-advanced
+  - path: NewEden/Creative_Writing-Complexity
+    type: dan-chat-advanced
+  - path: NewEden/Discord-Filtered
+    type: dan-chat-advanced
+  - path: NewEden/DeepseekRP-Filtered
+    type: dan-chat-advanced
+  - path: NewEden/Storium-Prefixed-Clean  
+    type: dan-chat-advanced
+  - path: NewEden/Basket-Weaving-Filtered
+    type: dan-chat-advanced
+  - path: NewEden/LIMARP-Complexity
+    type: dan-chat-advanced
+  - path: NewEden/Misc-Data-Sharegpt-Prefixed
+    type: dan-chat-advanced
+  - path: NewEden/BlueSky-10K-Complexity
+    type: dan-chat-advanced 
+  - path: NewEden/OpenCAI-ShareGPT
+    type: dan-chat-advanced
+  - path: NewEden/Basket-Weaving-Filtered
+    type: dan-chat-advanced  
+  - path: PocketDoc/Dans-Personamaxx-VN
+    type: dan-chat-advanced 
+  - path: PocketDoc/Dans-Kinomaxx-VanillaBackrooms
+    type: dan-chat-advanced  
+dataset_prepared_path: prepared_data
+val_set_size: 0.0
+output_dir: ./qwq-inst
+
+sequence_len: 32768
+sample_packing: true
+pad_to_sequence_len: true
+
+# adapter: lora
+# lora_model_dir: 
+# lora_r: 128
+# lora_alpha: 16
+# lora_dropout: 0.05
+# lora_target_modules:
+#   - gate_proj
+#   - down_proj
+#   - up_proj
+#   - q_proj
+#   - v_proj
+#   - k_proj
+#   - o_proj
+
+wandb_project: qwq
+wandb_entity:
+wandb_watch:
+wandb_name: rp-attempt-03
+wandb_log_model:
+
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 2.5e-5
+max_grad_norm: 1.0
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: unsloth
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 40
+saves_per_epoch: 2
+debug:
+deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.02
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+
+</details><br>
+
+# 32b-rp
+
+This model is a fine-tuned version of [NewEden/32B-inst](https://huggingface.co/NewEden/32B-inst) on the NewEden/RP-logs-V2-Experimental-prefixed, the NewEden/Creative_Writing-Complexity, the NewEden/Discord-Filtered, the NewEden/DeepseekRP-Filtered, the NewEden/Storium-Prefixed-Clean, the NewEden/Basket-Weaving-Filtered, the NewEden/LIMARP-Complexity, the NewEden/Misc-Data-Sharegpt-Prefixed, the NewEden/BlueSky-10K-Complexity, the NewEden/OpenCAI-ShareGPT, the NewEden/Basket-Weaving-Filtered, the PocketDoc/Dans-Personamaxx-VN and the PocketDoc/Dans-Kinomaxx-VanillaBackrooms datasets.
+
+## 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: 2.5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- 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
+- lr_scheduler_warmup_steps: 40
+- num_epochs: 4.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0