chore(deps): Update candle-core requirement from 0.10 to 0.11 in /components/ai-jail (#267)

Updates the requirements on
[candle-core](https://github.com/huggingface/candle) to permit the
latest version.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/huggingface/candle/blob/main/CHANGELOG.md">candle-core's
changelog</a>.</em></p>
<blockquote>
<h1>Changelog</h1>
<p>This documents the main changes to the <code>candle</code> crate.</p>
<h2>v0.3.1 - Unreleased</h2>
<h3>Added</h3>
<h3>Modified</h3>
<h2>v0.3.0 - 2023-10-01</h2>
<h3>Added</h3>
<ul>
<li>Added the Mistral 7b v0.1 model
<a
href="https://redirect.github.com/huggingface/candle/pull/983">983</a>.</li>
<li>Quantized version of the Mistral model
<a
href="https://redirect.github.com/huggingface/candle/pull/1009">1009</a>.</li>
<li>Add the gelu-erf op and activation function
<a
href="https://redirect.github.com/huggingface/candle/pull/969">969</a>.</li>
<li>Add the mixformer/phi-v1.5 model
<a
href="https://redirect.github.com/huggingface/candle/pull/930">930</a>.</li>
<li>Add the sclice-scatter op
<a
href="https://redirect.github.com/huggingface/candle/pull/927">927</a>.</li>
<li>Add the Wuerstchen diffusion model
<a
href="https://redirect.github.com/huggingface/candle/pull/911">911</a>.</li>
</ul>
<h3>Modified</h3>
<ul>
<li>Support for simd128 intrinsics in some quantized vecdots
<a
href="https://redirect.github.com/huggingface/candle/pull/982">982</a>.</li>
<li>Optimize the index-select cuda kernel
<a
href="https://redirect.github.com/huggingface/candle/pull/976">976</a>.</li>
<li>Self-contained safetensor wrappers
<a
href="https://redirect.github.com/huggingface/candle/pull/946">946</a>.</li>
</ul>
<h2>v0.2.2 - 2023-09-18</h2>
<h3>Added</h3>
<ul>
<li>Support for <code>top_p</code> sampling
<a
href="https://redirect.github.com/huggingface/candle/pull/819">819</a>.</li>
<li>T5 model including decoding
<a
href="https://redirect.github.com/huggingface/candle/pull/864">864</a>.</li>
<li>1-d upsampling
<a
href="https://redirect.github.com/huggingface/candle/pull/839">839</a>.</li>
</ul>
<h3>Modified</h3>
<ul>
<li>Bugfix for conv2d
<a
href="https://redirect.github.com/huggingface/candle/pull/820">820</a>.</li>
<li>Support tensor based indexing using <code>.i</code>
<a
href="https://redirect.github.com/huggingface/candle/pull/842">842</a>.</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/huggingface/candle/commit/31f35b147389700ed2a178ee66a91c3cc25cc80d"><code>31f35b1</code></a>
Bump candle version to 0.11.0 (<a
href="https://redirect.github.com/huggingface/candle/issues/3658">#3658</a>)</li>
<li><a
href="https://github.com/huggingface/candle/commit/9bcfd982ee6500d831706fe0c351ce627c0d58fb"><code>9bcfd98</code></a>
Add paged flash-attn kernels (<a
href="https://redirect.github.com/huggingface/candle/issues/3655">#3655</a>)</li>
<li><a
href="https://github.com/huggingface/candle/commit/c63cb20aa21114d8f0bb7c0405cb73d776e84881"><code>c63cb20</code></a>
[CPU] Quantized perf improvements (<a
href="https://redirect.github.com/huggingface/candle/issues/3643">#3643</a>)</li>
<li><a
href="https://github.com/huggingface/candle/commit/5152ef621c1a9d9089266712de9fb4f2cc1064d8"><code>5152ef6</code></a>
Support embedding forward pass for ggml quants (<a
href="https://redirect.github.com/huggingface/candle/issues/3644">#3644</a>)</li>
<li><a
href="https://github.com/huggingface/candle/commit/f53ed3bfbd2e3291c70e4db81eaf0faeccbb8e83"><code>f53ed3b</code></a>
Parameter cache for CUDA kernel launch (<a
href="https://redirect.github.com/huggingface/candle/issues/3598">#3598</a>)</li>
<li><a
href="https://github.com/huggingface/candle/commit/a9667cad048e42911a6e038d495d5491dd9328be"><code>a9667ca</code></a>
Support cuda 13.3 (<a
href="https://redirect.github.com/huggingface/candle/issues/3642">#3642</a>)</li>
<li><a
href="https://github.com/huggingface/candle/commit/29a15c2bb802b56e05c5c63a6da331473a94d98b"><code>29a15c2</code></a>
Remove flash attn specific rayon threadpool. Use device.with_context
around e...</li>
<li><a
href="https://github.com/huggingface/candle/commit/0190c658c74591534fa2c96d32705528b352e515"><code>0190c65</code></a>
refactor: converge CPU flash attn kernels on shared primitives (<a
href="https://redirect.github.com/huggingface/candle/issues/3513">#3513</a>)</li>
<li><a
href="https://github.com/huggingface/candle/commit/c4b0faf1792f521464778b666a46b9392a97779e"><code>c4b0faf</code></a>
[CPU] Persistent barrier based threadpool and improved qgemm (<a
href="https://redirect.github.com/huggingface/candle/issues/3627">#3627</a>)</li>
<li><a
href="https://github.com/huggingface/candle/commit/762588929ccc0e230554fd59be4c06a6a83326b7"><code>7625889</code></a>
[CPU] Add neon optimized path to <code>BlockQ8K::from_float</code> (<a
href="https://redirect.github.com/huggingface/candle/issues/3629">#3629</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/huggingface/candle/compare/0.10.0...0.11.0">compare
view</a></li>
</ul>
</details>
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components/ai-jail/Cargo.toml

@@ -12,7 +12,7 @@ path = "src/main.rs"
 
 [dependencies]
 # Candle ML framework
-candle-core = { version = "0.10", features = ["cuda"] }
+candle-core = { version = "0.11", features = ["cuda"] }
 candle-nn = "0.11"
 candle-transformers = "0.11"