123 lines
2.9 KiB
Markdown
123 lines
2.9 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-8B-Base
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tags:
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- roleplay
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- conversational
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- axolotl
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- qwen
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new_version: Aurore-Reveil/Koto-Small-7B-IT
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---
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# Remnant Qwen3 8b (series 1)
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[English](./README.md) | [简体中文](./README-cn.md)
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*There's a wisp of dust in the air. It feels like its from a bygone era, but you don't know where from. It lands on your tongue. It tastes nice.*
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Remnant is a series of finetuned LLMs focused on SFW and NSFW roleplaying and conversation.
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## Quants
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GGUF:
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- Todo!
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EXL3:
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- Todo!
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EXL2:
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- Todo!
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MISC:
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- Todo!
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## Recommended Settings
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Chat template: ChatML. Apparently Llama 3 format works too, though? Ymmv :3
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Samplers:
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- `0.8` temp
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- `0.1` min_p
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- `0.5` presence penalty
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## Credits
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Humongous thanks to Allura, ilya <3
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Big thanks to the developers of Axolotl (whose training framework I used), Tongyi Qianwen/Qwen/Alibaba (whose model I used), Prime Intellect (whose GPUs I used), and my bank (whose debit card I used)
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## Misc
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[<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)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.10.0.dev0`
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```yaml
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# === Model Configuration ===
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base_model: Qwen/Qwen3-8B-Base
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load_in_8bit: false
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load_in_4bit: false
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# === Training Setup ===
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num_epochs: 2
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micro_batch_size: 32
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gradient_accumulation_steps: 1
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sequence_len: 8192
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sample_packing: true
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pad_to_sequence_len: true
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# === Hyperparameter Configuration ===
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optimizer: apollo_adamw_layerwise
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# Apollo-mini configuration:
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optim_args: "proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200"
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# Regular Apollo configuration:
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# optim_args:
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optim_target_modules: all_linear
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learning_rate: 2e-5
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lr_scheduler: rex
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weight_decay: 0.01
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warmup_ratio: 0
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# === Data Configuration ===
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datasets:
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- path: allura-org/inkmix-v3.0
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type: chat_template
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split: train
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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dataset_prepared_path: last_run_prepared
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chat_template: chatml
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# === Plugins ===
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
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# === Hardware Optimization ===
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gradient_checkpointing: unsloth
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gradient_checkpointing_kwargs:
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use_reentrant: false
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liger_rope: true
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liger_rms_norm: true
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liger_glu_activation: true
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cut_cross_entropy: true
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# === Wandb Tracking ===
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wandb_project: qwen3-8b-inkmix-v3
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# === Checkpointing ===
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saves_per_epoch: 2
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save_total_limit: 3
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# === Advanced Settings ===
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output_dir: /ephemeral/ckpts
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bf16: auto
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flash_attention: true
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train_on_inputs: false
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group_by_length: false
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logging_steps: 1
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trust_remote_code: true
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```
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</details> |