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<p>Hi Greg,</p>
<p>No I haven't. I think you could run 'strace' to see what the
model was doing at the time, but it would be slow, and I am not
sure it would tell you much.</p>
<p>I don't think it was a RAM issue, since the container I am
running the LLMs is unrestricted (can use all the host's memory,
which is 32 GB), and the kernel is fairly recent (6.18.19-0-lts).</p>
<p>I didn't spend much time on it, because, my objective was to get
a local LLM running, not debug the model at the time.</p>
<p>Craig...</p>
<div class="moz-cite-prefix">On 4/26/26 07:56, Greg H wrote:<br>
</div>
<blockquote type="cite"
cite="mid:CAEuphw04m608DTNt+hgr25F-oOSbnJOUPTh38kb5RJPMXYdwbg@mail.gmail.com">
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<div dir="ltr">I was curious if you do any troubleshooting for the
models that core dump. I don't have any experience with this and
I'm wondering if there's much that you can do other than
increase the resources (i.e. more RAM). Maybe upgrade the
kernel? Guessing some models need the latest / greatest kernel
versions to do their thing.
<div> </div>
</div>
<br>
<div class="gmail_quote gmail_quote_container">
<div dir="ltr" class="gmail_attr">On Sun, Apr 26, 2026 at
7:34\u202fAM Craig Miller <<a href="mailto:cvmiller@gmail.com"
moz-do-not-send="true" class="moz-txt-link-freetext">cvmiller@gmail.com</a>>
wrote:<br>
</div>
<blockquote class="gmail_quote"
style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
<div>
<p>Hi Deid,</p>
<p>Looking at the gguf models on HuggingFace:</p>
<p><a href="https://huggingface.co/models?library=gguf"
target="_blank" moz-do-not-send="true"
class="moz-txt-link-freetext">https://huggingface.co/models?library=gguf</a></p>
<p>There were a couple of parameters I was looking at:</p>
<ol>
<li>Not too big, somewhere between 5 and 10 GB in size</li>
<li>Relatively recent</li>
<li>Doesn't core dump right away</li>
</ol>
<p>I had the best luck at running the Qwen models. I am
running Qwen2.5-VL-7B-Instruct-abliterated.Q4_K_M.gguf on
my PN-50, and it seems to run reasonably fast. Some of the
other models were quite slow on the PN-50.</p>
<p>Have fun!</p>
<p>Craig...</p>
<div>On 4/26/26 07:13, Deid Reimer wrote:<br>
</div>
<blockquote type="cite">
<div dir="auto">Hey Craig, <br>
<br>
</div>
<div dir="auto">Why did you pick that particular LLM?<br>
<br>
</div>
<div dir="auto">Deid VA7REI</div>
<div class="gmail_quote">On Apr 25, 2026, at 8:32 a.m.,
Craig Miller <<a href="mailto:cvmiller@gmail.com"
target="_blank" moz-do-not-send="true"
class="moz-txt-link-freetext">cvmiller@gmail.com</a>>
wrote:
<blockquote class="gmail_quote"
style="margin:0pt 0pt 0pt 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
<p>Hi All,</p>
<p>We were chatting before the most recent NetSIG
about the new Llamafile app, which has excellent
support for IPv6. The app runs a webserver (which is
IPv6 accessible). The new llamafile app takes a -m
parameter which points to the gguf LLM model.</p>
<p><b> Old way</b><br>
./google_gemma-3-4b-it-Q6_K.llamafile --server
-v2 --host <a href="http://lxcllama.example.com"
target="_blank" moz-do-not-send="true">lxcllama.example.com</a><br>
<b>New way</b><br>
llamafile -m model.gguf --server --port 8080</p>
<p>Find the new llamafile at:</p>
<p> <a
href="https://github.com/mozilla-ai/llamafile/releases/tag/0.10.0"
target="_blank" moz-do-not-send="true"
class="moz-txt-link-freetext">https://github.com/mozilla-ai/llamafile/releases/tag/0.10.0</a></p>
<p>You can find gguf (LLM models) at:</p>
<p> <a
href="https://huggingface.co/models?library=gguf"
target="_blank" moz-do-not-send="true"
class="moz-txt-link-freetext">https://huggingface.co/models?library=gguf</a></p>
<p>I start my llamafile using this command:</p>
<p> ./llamafile-0.10.0 -m Qwen3.5-9B.Q4_K_M.gguf
--server --port 8080 --host <a
href="http://lxcllama.example.com" target="_blank"
moz-do-not-send="true">lxcllama.example.com</a> </p>
<p>This way any webbrowser at my house, can access the
LLM.</p>
<p>Happy LLM-ing,</p>
<p>Craig...</p>
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