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    Constructors
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    SamplingApi()
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  <a href="#llama_sample_grammarsafellamacontexthandle-llamatokendataarray-safellamagrammarhandle" class="md-nav__link">
    llama_sample_grammar(SafeLLamaContextHandle, LLamaTokenDataArray, SafeLLamaGrammarHandle)
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  <a href="#llama_sample_repetition_penaltysafellamacontexthandle-llamatokendataarray-memoryint32-uint64-single" class="md-nav__link">
    llama_sample_repetition_penalty(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, UInt64, Single)
  </a>
  
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  <a href="#caution" class="md-nav__link">
    Caution
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  <a href="#llama_sample_repetition_penaltysafellamacontexthandle-llamatokendataarray-memoryint32-single" class="md-nav__link">
    llama_sample_repetition_penalty(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, Single)
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    Parameters
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  <a href="#llama_sample_frequency_and_presence_penaltiessafellamacontexthandle-llamatokendataarray-memoryint32-uint64-single-single" class="md-nav__link">
    llama_sample_frequency_and_presence_penalties(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, UInt64, Single, Single)
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    Caution
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    llama_sample_frequency_and_presence_penalties(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, Single, Single)
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  <a href="#llama_sample_softmaxsafellamacontexthandle-llamatokendataarray" class="md-nav__link">
    llama_sample_softmax(SafeLLamaContextHandle, LLamaTokenDataArray)
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    llama_sample_top_k(SafeLLamaContextHandle, LLamaTokenDataArray, Int32, UInt64)
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    llama_sample_top_p(SafeLLamaContextHandle, LLamaTokenDataArray, Single, UInt64)
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  <a href="#llama_sample_tail_freesafellamacontexthandle-llamatokendataarray-single-uint64" class="md-nav__link">
    llama_sample_tail_free(SafeLLamaContextHandle, LLamaTokenDataArray, Single, UInt64)
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    llama_sample_typical(SafeLLamaContextHandle, LLamaTokenDataArray, Single, UInt64)
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    llama_sample_temperature(SafeLLamaContextHandle, LLamaTokenDataArray, Single)
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  <a href="#llama_sample_token_mirostatsafellamacontexthandle-llamatokendataarray-single-single-int32-single" class="md-nav__link">
    llama_sample_token_mirostat(SafeLLamaContextHandle, LLamaTokenDataArray, Single, Single, Int32, Single&amp;)
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  <a href="#llama_sample_token_mirostat_v2safellamacontexthandle-llamatokendataarray-single-single-single" class="md-nav__link">
    llama_sample_token_mirostat_v2(SafeLLamaContextHandle, LLamaTokenDataArray, Single, Single, Single&amp;)
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    llama_sample_token_greedy(SafeLLamaContextHandle, LLamaTokenDataArray)
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    Parameters
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  <a href="#llama_sample_tokensafellamacontexthandle-llamatokendataarray" class="md-nav__link">
    llama_sample_token(SafeLLamaContextHandle, LLamaTokenDataArray)
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    Parameters
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  <a href="#llama_sample_grammarsafellamacontexthandle-llamatokendataarray-safellamagrammarhandle" class="md-nav__link">
    llama_sample_grammar(SafeLLamaContextHandle, LLamaTokenDataArray, SafeLLamaGrammarHandle)
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    llama_sample_repetition_penalty(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, UInt64, Single)
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    llama_sample_temperature(SafeLLamaContextHandle, LLamaTokenDataArray, Single)
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            <div class="md-content" data-md-component="content">
              <article class="md-content__inner md-typeset">
                
                  
<h1 id="samplingapi">SamplingApi</h1>
<p>Namespace: LLama.Native</p>
<p>Direct translation of the llama.cpp sampling API</p>
<pre><code class="language-csharp">public class SamplingApi
</code></pre>
<p>Inheritance <a href="https://docs.microsoft.com/en-us/dotnet/api/system.object">Object</a> → <a href="./">SamplingApi</a></p>
<h2 id="constructors">Constructors</h2>
<h3 id="samplingapi_1"><strong>SamplingApi()</strong></h3>
<pre><code class="language-csharp">public SamplingApi()
</code></pre>
<h2 id="methods">Methods</h2>
<h3 id="llama_sample_grammarsafellamacontexthandle-llamatokendataarray-safellamagrammarhandle"><strong>llama_sample_grammar(SafeLLamaContextHandle, LLamaTokenDataArray, SafeLLamaGrammarHandle)</strong></h3>
<p>Apply grammar rules to candidate tokens</p>
<pre><code class="language-csharp">public static void llama_sample_grammar(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, SafeLLamaGrammarHandle grammar)
</code></pre>
<h4 id="parameters">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br></p>
<p><code>grammar</code> <a href="../llama.native.safellamagrammarhandle/">SafeLLamaGrammarHandle</a><br></p>
<h3 id="llama_sample_repetition_penaltysafellamacontexthandle-llamatokendataarray-memoryint32-uint64-single"><strong>llama_sample_repetition_penalty(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, UInt64, Single)</strong></h3>
<h4 id="caution">Caution</h4>
<p>last_tokens_size parameter is no longer needed</p>
<hr />
<p>Repetition penalty described in CTRL academic paper https://arxiv.org/abs/1909.05858, with negative logit fix.</p>
<pre><code class="language-csharp">public static void llama_sample_repetition_penalty(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, Memory&lt;int&gt; last_tokens, ulong last_tokens_size, float penalty)
</code></pre>
<h4 id="parameters_1">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<p><code>last_tokens</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.memory-1">Memory&lt;Int32&gt;</a><br></p>
<p><code>last_tokens_size</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.uint64">UInt64</a><br></p>
<p><code>penalty</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<h3 id="llama_sample_repetition_penaltysafellamacontexthandle-llamatokendataarray-memoryint32-single"><strong>llama_sample_repetition_penalty(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, Single)</strong></h3>
<p>Repetition penalty described in CTRL academic paper https://arxiv.org/abs/1909.05858, with negative logit fix.</p>
<pre><code class="language-csharp">public static void llama_sample_repetition_penalty(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, Memory&lt;int&gt; last_tokens, float penalty)
</code></pre>
<h4 id="parameters_2">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<p><code>last_tokens</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.memory-1">Memory&lt;Int32&gt;</a><br></p>
<p><code>penalty</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<h3 id="llama_sample_frequency_and_presence_penaltiessafellamacontexthandle-llamatokendataarray-memoryint32-uint64-single-single"><strong>llama_sample_frequency_and_presence_penalties(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, UInt64, Single, Single)</strong></h3>
<h4 id="caution_1">Caution</h4>
<p>last_tokens_size parameter is no longer needed</p>
<hr />
<p>Frequency and presence penalties described in OpenAI API https://platform.openai.com/docs/api-reference/parameter-details.</p>
<pre><code class="language-csharp">public static void llama_sample_frequency_and_presence_penalties(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, Memory&lt;int&gt; last_tokens, ulong last_tokens_size, float alpha_frequency, float alpha_presence)
</code></pre>
<h4 id="parameters_3">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<p><code>last_tokens</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.memory-1">Memory&lt;Int32&gt;</a><br></p>
<p><code>last_tokens_size</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.uint64">UInt64</a><br></p>
<p><code>alpha_frequency</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<p><code>alpha_presence</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<h3 id="llama_sample_frequency_and_presence_penaltiessafellamacontexthandle-llamatokendataarray-memoryint32-single-single"><strong>llama_sample_frequency_and_presence_penalties(SafeLLamaContextHandle, LLamaTokenDataArray, Memory&lt;Int32&gt;, Single, Single)</strong></h3>
<p>Frequency and presence penalties described in OpenAI API https://platform.openai.com/docs/api-reference/parameter-details.</p>
<pre><code class="language-csharp">public static void llama_sample_frequency_and_presence_penalties(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, Memory&lt;int&gt; last_tokens, float alpha_frequency, float alpha_presence)
</code></pre>
<h4 id="parameters_4">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<p><code>last_tokens</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.memory-1">Memory&lt;Int32&gt;</a><br></p>
<p><code>alpha_frequency</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<p><code>alpha_presence</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<h3 id="llama_sample_softmaxsafellamacontexthandle-llamatokendataarray"><strong>llama_sample_softmax(SafeLLamaContextHandle, LLamaTokenDataArray)</strong></h3>
<p>Sorts candidate tokens by their logits in descending order and calculate probabilities based on logits.</p>
<pre><code class="language-csharp">public static void llama_sample_softmax(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates)
</code></pre>
<h4 id="parameters_5">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<h3 id="llama_sample_top_ksafellamacontexthandle-llamatokendataarray-int32-uint64"><strong>llama_sample_top_k(SafeLLamaContextHandle, LLamaTokenDataArray, Int32, UInt64)</strong></h3>
<p>Top-K sampling described in academic paper "The Curious Case of Neural Text Degeneration" https://arxiv.org/abs/1904.09751</p>
<pre><code class="language-csharp">public static void llama_sample_top_k(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, int k, ulong min_keep)
</code></pre>
<h4 id="parameters_6">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<p><code>k</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.int32">Int32</a><br></p>
<p><code>min_keep</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.uint64">UInt64</a><br></p>
<h3 id="llama_sample_top_psafellamacontexthandle-llamatokendataarray-single-uint64"><strong>llama_sample_top_p(SafeLLamaContextHandle, LLamaTokenDataArray, Single, UInt64)</strong></h3>
<p>Nucleus sampling described in academic paper "The Curious Case of Neural Text Degeneration" https://arxiv.org/abs/1904.09751</p>
<pre><code class="language-csharp">public static void llama_sample_top_p(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, float p, ulong min_keep)
</code></pre>
<h4 id="parameters_7">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<p><code>p</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<p><code>min_keep</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.uint64">UInt64</a><br></p>
<h3 id="llama_sample_tail_freesafellamacontexthandle-llamatokendataarray-single-uint64"><strong>llama_sample_tail_free(SafeLLamaContextHandle, LLamaTokenDataArray, Single, UInt64)</strong></h3>
<p>Tail Free Sampling described in https://www.trentonbricken.com/Tail-Free-Sampling/.</p>
<pre><code class="language-csharp">public static void llama_sample_tail_free(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, float z, ulong min_keep)
</code></pre>
<h4 id="parameters_8">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<p><code>z</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<p><code>min_keep</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.uint64">UInt64</a><br></p>
<h3 id="llama_sample_typicalsafellamacontexthandle-llamatokendataarray-single-uint64"><strong>llama_sample_typical(SafeLLamaContextHandle, LLamaTokenDataArray, Single, UInt64)</strong></h3>
<p>Locally Typical Sampling implementation described in the paper https://arxiv.org/abs/2202.00666.</p>
<pre><code class="language-csharp">public static void llama_sample_typical(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, float p, ulong min_keep)
</code></pre>
<h4 id="parameters_9">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<p><code>p</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<p><code>min_keep</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.uint64">UInt64</a><br></p>
<h3 id="llama_sample_temperaturesafellamacontexthandle-llamatokendataarray-single"><strong>llama_sample_temperature(SafeLLamaContextHandle, LLamaTokenDataArray, Single)</strong></h3>
<p>Sample with temperature.
 As temperature increases, the prediction becomes diverse but also vulnerable to hallucinations -- generating tokens that are sensible but not factual</p>
<pre><code class="language-csharp">public static void llama_sample_temperature(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, float temp)
</code></pre>
<h4 id="parameters_10">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br></p>
<p><code>temp</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br></p>
<h3 id="llama_sample_token_mirostatsafellamacontexthandle-llamatokendataarray-single-single-int32-single"><strong>llama_sample_token_mirostat(SafeLLamaContextHandle, LLamaTokenDataArray, Single, Single, Int32, Single&amp;)</strong></h3>
<p>Mirostat 1.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.</p>
<pre><code class="language-csharp">public static int llama_sample_token_mirostat(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, float tau, float eta, int m, Single&amp; mu)
</code></pre>
<h4 id="parameters_11">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
A vector of <code>LLamaTokenData</code> containing the candidate tokens, their probabilities (p), and log-odds (logit) for the current position in the generated text.</p>
<p><code>tau</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br>
The target cross-entropy (or surprise) value you want to achieve for the generated text. A higher value corresponds to more surprising or less predictable text, while a lower value corresponds to less surprising or more predictable text.</p>
<p><code>eta</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br>
The learning rate used to update <code>mu</code> based on the error between the target and observed surprisal of the sampled word. A larger learning rate will cause <code>mu</code> to be updated more quickly, while a smaller learning rate will result in slower updates.</p>
<p><code>m</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.int32">Int32</a><br>
The number of tokens considered in the estimation of <code>s_hat</code>. This is an arbitrary value that is used to calculate <code>s_hat</code>, which in turn helps to calculate the value of <code>k</code>. In the paper, they use <code>m = 100</code>, but you can experiment with different values to see how it affects the performance of the algorithm.</p>
<p><code>mu</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single&amp;">Single&amp;</a><br>
Maximum cross-entropy. This value is initialized to be twice the target cross-entropy (<code>2 * tau</code>) and is updated in the algorithm based on the error between the target and observed surprisal.</p>
<h4 id="returns">Returns</h4>
<p><a href="https://docs.microsoft.com/en-us/dotnet/api/system.int32">Int32</a><br></p>
<h3 id="llama_sample_token_mirostat_v2safellamacontexthandle-llamatokendataarray-single-single-single"><strong>llama_sample_token_mirostat_v2(SafeLLamaContextHandle, LLamaTokenDataArray, Single, Single, Single&amp;)</strong></h3>
<p>Mirostat 2.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.</p>
<pre><code class="language-csharp">public static int llama_sample_token_mirostat_v2(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates, float tau, float eta, Single&amp; mu)
</code></pre>
<h4 id="parameters_12">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
A vector of <code>LLamaTokenData</code> containing the candidate tokens, their probabilities (p), and log-odds (logit) for the current position in the generated text.</p>
<p><code>tau</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br>
The target cross-entropy (or surprise) value you want to achieve for the generated text. A higher value corresponds to more surprising or less predictable text, while a lower value corresponds to less surprising or more predictable text.</p>
<p><code>eta</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single">Single</a><br>
The learning rate used to update <code>mu</code> based on the error between the target and observed surprisal of the sampled word. A larger learning rate will cause <code>mu</code> to be updated more quickly, while a smaller learning rate will result in slower updates.</p>
<p><code>mu</code> <a href="https://docs.microsoft.com/en-us/dotnet/api/system.single&amp;">Single&amp;</a><br>
Maximum cross-entropy. This value is initialized to be twice the target cross-entropy (<code>2 * tau</code>) and is updated in the algorithm based on the error between the target and observed surprisal.</p>
<h4 id="returns_1">Returns</h4>
<p><a href="https://docs.microsoft.com/en-us/dotnet/api/system.int32">Int32</a><br></p>
<h3 id="llama_sample_token_greedysafellamacontexthandle-llamatokendataarray"><strong>llama_sample_token_greedy(SafeLLamaContextHandle, LLamaTokenDataArray)</strong></h3>
<p>Selects the token with the highest probability.</p>
<pre><code class="language-csharp">public static int llama_sample_token_greedy(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates)
</code></pre>
<h4 id="parameters_13">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<h4 id="returns_2">Returns</h4>
<p><a href="https://docs.microsoft.com/en-us/dotnet/api/system.int32">Int32</a><br></p>
<h3 id="llama_sample_tokensafellamacontexthandle-llamatokendataarray"><strong>llama_sample_token(SafeLLamaContextHandle, LLamaTokenDataArray)</strong></h3>
<p>Randomly selects a token from the candidates based on their probabilities.</p>
<pre><code class="language-csharp">public static int llama_sample_token(SafeLLamaContextHandle ctx, LLamaTokenDataArray candidates)
</code></pre>
<h4 id="parameters_14">Parameters</h4>
<p><code>ctx</code> <a href="../llama.native.safellamacontexthandle/">SafeLLamaContextHandle</a><br></p>
<p><code>candidates</code> <a href="../llama.native.llamatokendataarray/">LLamaTokenDataArray</a><br>
Pointer to LLamaTokenDataArray</p>
<h4 id="returns_3">Returns</h4>
<p><a href="https://docs.microsoft.com/en-us/dotnet/api/system.int32">Int32</a><br></p>


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