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---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-8B-Base
tags:
- roleplay
- conversational
- axolotl
- qwen
---
# 残响 Qwen3 8B(第一系列)
[English](./README.md) | [简体中文](./README-cn.md)
*空气中飘浮着一缕尘埃。它仿佛来自某个逝去的时代,但你无从追溯。它落在你的舌尖,滋味奇妙。*

「残响」是一系列专注于SFW与NSFW角色扮演及对话的微调大语言模型。
## 量化版本
GGUF:
- 待补充!
EXL3:
- 待补充!
EXL2:
- 待补充!
其他格式:
- 待补充!
## 推荐参数
对话模板: ChatML
采样器设置:
- 温度值 `0.8`
- 最小概率阈值 `0.1`
- 存在惩罚 `0.5`
## 致谢
特别感谢Allura和ilya <3
衷心感谢以下项目的开发者:
- Axolotl(训练框架)
- 通义千问/Qwen/阿里巴巴(基础模型)
- Prime Intellect(算力支持)
- 以及我的银行(资金支持)
## 其他信息
[<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>查看Axolotl配置</summary>
axolotl版本: `0.10.0.dev0`
```yaml
# === 模型配置 ===
base_model: Qwen/Qwen3-8B-Base
load_in_8bit: false
load_in_4bit: false
# === 训练设置 ===
num_epochs: 2
micro_batch_size: 32
gradient_accumulation_steps: 1
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
# === 超参数配置 ===
optimizer: apollo_adamw_layerwise
# Apollo-mini配置:
optim_args: "proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200"
# 标准Apollo配置:
# optim_args:
optim_target_modules: all_linear
learning_rate: 2e-5
lr_scheduler: rex
weight_decay: 0.01
warmup_ratio: 0
# === 数据配置 ===
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
# === 插件 ===
plugins:
- axolotl.integrations.liger.LigerPlugin
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
# === 硬件优化 ===
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追踪 ===
wandb_project: qwen3-8b-inkmix-v3
# === 检查点 ===
saves_per_epoch: 2
save_total_limit: 3
# === 高级设置 ===
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> |