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Model: allura-forge/remnant-8b-ep2-ckpt Source: Original Platform
2026-05-01 16:42:56 +08:00
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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-8B-Base
+tags:
+- generated_from_trainer
+datasets:
+- allura-org/inkmix-v3.0
+model-index:
+- name: ephemeral/ckpts
+  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: `0.10.0.dev0`
+```yaml
+# === Model Configuration ===
+base_model: Qwen/Qwen3-8B-Base
+load_in_8bit: false
+load_in_4bit: false
+
+# === Training Setup ===
+num_epochs: 2
+micro_batch_size: 32
+gradient_accumulation_steps: 1
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+# === Hyperparameter Configuration ===
+optimizer: apollo_adamw_layerwise
+# Apollo-mini configuration:
+optim_args: "proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200"
+# Regular Apollo configuration:
+# optim_args: 
+optim_target_modules: all_linear
+learning_rate: 2e-5
+lr_scheduler: rex
+weight_decay: 0.01
+warmup_ratio: 0
+
+# === Data Configuration ===
+datasets:
+  - path: allura-org/inkmix-v3.0
+    type: chat_template
+    split: train
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+
+dataset_prepared_path: last_run_prepared
+chat_template: chatml
+
+# === Plugins ===
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+
+# === Hardware Optimization ===
+gradient_checkpointing: unsloth
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+cut_cross_entropy: true
+
+# === Wandb Tracking ===
+wandb_project: qwen3-8b-inkmix-v3
+
+# === Checkpointing ===
+saves_per_epoch: 2
+save_total_limit: 3
+
+# === Advanced Settings ===
+output_dir: /ephemeral/ckpts
+bf16: auto
+flash_attention: true
+train_on_inputs: false
+group_by_length: false
+logging_steps: 1
+trust_remote_code: true
+
+```
+
+</details><br>
+
+# ephemeral/ckpts
+
+This model is a fine-tuned version of [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base) on the allura-org/inkmix-v3.0 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use apollo_adamw_layerwise with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200
+- lr_scheduler_type: cosine
+- num_epochs: 2.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1