添加模型文件 (Epoch 7, 分2片, bash merge_model.sh合并)
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__pycache__/
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__pycache__/
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*.pyc
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*.pyc
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*.log
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*.log
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# 模型文件 — 只追踪发布版本
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*.pth
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*.pth
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*.pth.*
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!/llm_model_v2_resume_epoch_7.pth
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/tmp/
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/tmp/
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# 中间数据(旧版临时文件)
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# 中间数据(旧版临时文件)
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version https://git-lfs.github.com/spec/v1
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size 52428800
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version https://git-lfs.github.com/spec/v1
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size 52428800
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version https://git-lfs.github.com/spec/v1
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size 52428800
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version https://git-lfs.github.com/spec/v1
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oid sha256:4eec556ead5ecf7902064a991fba42983e77cf0f8f004edd90a0ef144e834ee7
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size 3480603
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version https://git-lfs.github.com/spec/v1
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size 80740352
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d0718d89c5cd49fe42513c9d58c12fd80d0ca0bd76fe96920b214dd38508c86
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size 80026651
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#!/bin/bash
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# 合并分片模型文件
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# 用法: bash merge_model.sh
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PARTS="llm_model_epoch7_part_aa llm_model_epoch7_part_ab llm_model_epoch7_part_ac llm_model_epoch7_part_ad"
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OUTPUT="llm_model_v2_resume_epoch_7.pth"
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echo "合并模型分片 → $OUTPUT ..."
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cat $PARTS > $OUTPUT
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echo "✅ 合并完成: $(ls -lh $OUTPUT | awk '{print $5}')"
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echo ""
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echo "使用方法:"
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echo " python3 -c \"import json, torch;"
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echo " from llm_chat_improved import LLMModel, LLMChat, tokenizer_instance;"
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echo ' vocab = json.load(open("vocab_v2.json"));'
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echo ' ckpt = torch.load("llm_model_v2_resume_epoch_7.pth", map_location="cpu");'
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echo ' chat = LLMChat(LLMModel(...), vocab, device="cpu");'
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echo ' print(chat.generate_response("小狸你好呀"));'
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echo ' "'
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