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換一個支援 64K+ 上下文的模型

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<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">這個錯誤很清楚，問題是 <code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">qwen2.5:7b</code> 的上下文視窗只有 32,768 tokens，但 Hermes Agent 要求至少 64,000 tokens。</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">以下是解決方法：</p>
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<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>方法一 &mdash; 換一個支援 64K+ 上下文的模型（推薦）</strong></p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">先用 Ollama 下載較大的模型：</p>
<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg focus:outline-none focus-visible:ring-2 focus-visible:ring-accent-100" tabindex="0" role="group" aria-label="bash code">
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<div class="text-text-500 font-small p-3.5 pb-0">bash</div>
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<pre class="code-block__code !my-0 !rounded-lg !text-sm !leading-relaxed p-3.5"><code class="language-bash">ollama pull llama3.1:8b</code></pre>
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<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">然後修改 <code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">config.yaml</code>：</p>
<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg focus:outline-none focus-visible:ring-2 focus-visible:ring-accent-100" tabindex="0" role="group" aria-label="yaml code">
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<div class="text-text-500 font-small p-3.5 pb-0">yaml</div>
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<pre class="code-block__code !my-0 !rounded-lg !text-sm !leading-relaxed p-3.5"><code class="language-yaml"><span class="token token key">auxiliary</span><span class="token token">:</span>
  <span class="token token key">compression</span><span class="token token">:</span>
    <span class="token token key">model</span><span class="token token">:</span> llama3.1<span class="token token">:</span>8b</code></pre>
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<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">常見支援 64K+ 的模型選擇：</p>
<ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3">
<li class="whitespace-normal break-words pl-2"><code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">llama3.1:8b</code>（128K）</li>
<li class="whitespace-normal break-words pl-2"><code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">qwen2.5:14b</code>（128K）</li>
<li class="whitespace-normal break-words pl-2"><code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">mistral-nemo</code>（128K）</li>
</ul>
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<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>方法二 &mdash; 強制覆蓋上下文長度</strong></p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">如果您的 <code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">qwen2.5:7b</code> 其實已設定更大的 <code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">num_ctx</code>，可以直接告訴 Agent 忽略偵測到的值：</p>
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<div class="text-text-500 font-small p-3.5 pb-0">yaml</div>
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<pre class="code-block__code !my-0 !rounded-lg !text-sm !leading-relaxed p-3.5"><code class="language-yaml"><span class="token token key">auxiliary</span><span class="token token">:</span>
  <span class="token token key">compression</span><span class="token token">:</span>
    <span class="token token key">model</span><span class="token token">:</span> qwen2.5<span class="token token">:</span>7b
    <span class="token token key">context_length</span><span class="token token">:</span> <span class="token token">65536</span></code></pre>
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<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]"><strong>方法三 &mdash; 在 Ollama 中設定更大的 num_ctx</strong></p>
<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg focus:outline-none focus-visible:ring-2 focus-visible:ring-accent-100" tabindex="0" role="group" aria-label="bash code">
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<div class="text-text-500 font-small p-3.5 pb-0">bash</div>
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<pre class="code-block__code !my-0 !rounded-lg !text-sm !leading-relaxed p-3.5"><code class="language-bash">ollama run qwen2.5:7b --num-ctx <span class="token token">65536</span></code></pre>
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<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">或建立一個 Modelfile：</p>
<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg focus:outline-none focus-visible:ring-2 focus-visible:ring-accent-100" tabindex="0" role="group" aria-label="Code">
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<pre class="code-block__code !my-0 !rounded-lg !text-sm !leading-relaxed p-3.5"><code>FROM qwen2.5:7b
PARAMETER num_ctx 65536</code></pre>
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<hr class="border-border-200 border-t-0.5 my-3 mx-1.5">
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">最快的解法是<strong>方法一</strong>，直接換成 <code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">llama3.1:8b</code>。請問您知道 <code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">config.yaml</code> 在哪個路徑嗎？我可以幫您確認設定。</p>