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Model: chanceQZhang/zhihu-tech-zhichang-qwen-7b
Source: Original Platform

README.md

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+---
+library_name: peft
+license: gpl-3.0
+base_model: Orion-zhen/Meissa-Qwen2.5-7B-Instruct
+tags:
+- axolotl
+- base_model:adapter:Orion-zhen/Meissa-Qwen2.5-7B-Instruct
+- lora
+- transformers
+datasets:
+- chanceQZhang/zhihuhighvotes
+pipeline_tag: text-generation
+model-index:
+- name: outputs/zhihu-tech-career-lora
+  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: `0.13.0.dev0`
+```yaml
+# config_sft_zhihu.yml
+
+base_model: Orion-zhen/Meissa-Qwen2.5-7B-Instruct
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+# 使用您上传的数据集
+datasets:
+  - path: chanceQZhang/zhihuhighvotes
+    type: chat_template  # ChatML 格式使用 chat_template
+    split: train
+# 提速核心
+sample_packing: true
+pad_to_sequence_len: true
+
+
+
+# LoRA 配置
+adapter: lora
+lora_r: 8
+lora_alpha: 32
+lora_dropout: 0.1
+lora_target_modules:
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+  - gate_proj
+  - up_proj
+  - down_proj
+  
+# --- 核心优化：显存节省配置 ---
+bf16: true                    # 30/40系列或A系列显卡必开，提升速度且省显存
+fp16: false
+gradient_checkpointing: true  # 必开！用计算时间换空间，大幅降低显存占用
+flash_attention: true         # 必开！大幅降低长文本下的显存需求
+
+# 训练配置
+sequence_len: 2048
+micro_batch_size: 6
+gradient_accumulation_steps: 3
+num_epochs: 2
+learning_rate: 0.00005
+# 减少中间开销
+logging_steps: 10
+eval_steps: 100
+save_steps: 302
+
+# 输出
+output_dir: ./outputs/zhihu-tech-career-lora
+```
+
+</details><br>
+
+# outputs/zhihu-tech-career-lora
+
+This model is a fine-tuned version of [Orion-zhen/Meissa-Qwen2.5-7B-Instruct](https://huggingface.co/Orion-zhen/Meissa-Qwen2.5-7B-Instruct) on the chanceQZhang/zhihuhighvotes 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: 5e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 18
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 16
+- training_steps: 536
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.18.1
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu128
+- Datasets 4.4.2
+- Tokenizers 0.22.2