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<div class="wrap">
<header>
<a class="brand" href="https://assert.gr" rel="noopener">
<img src="./assert-logo.png" alt="ASSERT" width="420" height="87">
</a>
<h1>How much of this pack is actually 4-bit?</h1>
<p>
A name like <code>W4A16</code> or <code>-AWQ-4bit</code> reads as though
everything in the file is four bits. It never is. Embeddings, the output
head, the norms and any preserved auxiliary head stay at the source's
precision — commonly a fifth to two fifths of the bytes — and no model page
says which, or how much.
</p>
<p>
<strong>The set matters more than the total.</strong> An <code>lm_head</code>
left whole is a deliberate, defensible cost. An <code>lm_head</code>
quantized is a decision the pack made on your behalf without mentioning it:
measured on our own weights, quantizing it flips the model's chosen token on
about a fifth of positions.
</p>
<p>
This reads <strong>safetensors headers only</strong>, over ranged requests
from your browser — a few hundred kilobytes against packs of many gigabytes.
It never loads the model and never runs it.
</p>
</header>
<form id="form">
<input type="text" id="repo" value="aleada/Nemotron-3.5-Lightning-30B-A3B-W4A16"
placeholder="owner/model" autocomplete="off" spellcheck="false"
aria-label="Model repo id">
<button type="submit" id="go">Inspect</button>
</form>
<div class="examples">
<span class="group">Different tools:</span>
<button type="button" data-ex="casperhansen/llama-3-8b-instruct-awq">AutoAWQ</button> ·
<button type="button" data-ex="TheBloke/Llama-2-7B-Chat-GPTQ">GPTQ</button> ·
<button type="button" data-ex="unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit">bitsandbytes</button> ·
<button type="button" data-ex="nvidia/Llama-3.3-70B-Instruct-FP4">ModelOpt NVFP4</button> ·
<button type="button" data-ex="openai/gpt-oss-20b">MXFP4</button>
<br>
<span class="group">Worth comparing:</span>
<button type="button" data-ex="cyankiwi/Qwen3-VL-8B-Instruct-AWQ-4bit">a pack whose name says AWQ</button> ·
<button type="button" data-ex="Qwen/Qwen2.5-0.5B-Instruct">an unquantized model</button>
<br>
<span class="group">Our packs:</span>
<button type="button" data-ex="aleada/Nemotron-3.5-Lightning-30B-A3B-W4A16">Nemotron-3.5</button> ·
<button type="button" data-ex="aleada/Qwen3.8-27B-W4A16">Qwen3.8-27B</button>
</div>
<div id="out"></div>
<div class="key">
<span><i style="background:var(--q)"></i>quantized payload</span>
<span><i style="background:var(--m)"></i>quantization data</span>
<span><i style="background:var(--f)"></i>full precision</span>
<span><i style="background:var(--bfr)"></i>index buffers</span>
</div>
<h2>Why this reads dtypes, not tensor names</h2>
<p>
The first version of this tool classified tensors by <em>name</em>, learned
from compressed-tensors packs where the payload is called
<code>weight_packed</code>. Probing nine toolchains showed that convention is
the minority. <strong>bitsandbytes, ModelOpt FP8, ModelOpt NVFP4 and
compressed-tensors' own <code>int-quantized</code> and
<code>naive-quantized</code> formats all store the quantized payload under the
plain name <code>weight</code></strong> — so a name-driven reader calls every
one of those packs 100% full precision, confidently, and about most of what is
published.
</p>
<p>
So the dtype decides: an <code>I32</code>, <code>I8</code>, <code>U8</code> or
<code>F8</code> tensor is not full precision whatever it is called. Names are
used only to separate quantization metadata — scales, zero points, group
indices — from model weights, a distinction that genuinely has no dtype
signature.
</p>
<p>
The declared method is read from <code>config.json</code>, or from
<code>hf_quant_config.json</code> where the tool writes it there — never from
the repo name. <code>cyankiwi/Qwen3-VL-8B-Instruct-<strong>AWQ</strong>-4bit</code>
declares <code>compressed-tensors</code>.
</p>
<h2>Conventions, and where each was verified</h2>
<p>
None of these naming conventions is a stable public API — they are internal
choices of each tool, and they have moved before. Two versions therefore
appear, answering different questions: the <strong>producer's</strong>, read
out of the pack itself wherever that tool records it, which is the version
that actually wrote those bytes; and <strong>this reader's</strong>, the date
below, which says how stale the table is rather than leaving a wrong answer
looking authoritative.
</p>
<div class="scroll">
<table>
<thead><tr><th>Declared as</th><th>Tool</th><th>Records its version in</th><th>Verified against</th></tr></thead>
<tbody id="formats"></tbody>
</table>
</div>
<footer>
<p>
<strong>A high full-precision share is not a fault.</strong> It is usually
the pack being careful — an output head or a vision tower left whole costs
size and buys accuracy. This says what was kept and what it cost in bytes;
it does not say whether the trade was a good one.
</p>
<p>
Conventions verified <strong id="measured">—</strong> against one published
pack per tool, listed above. AutoAWQ's <code>version</code> field is
deliberately not reported as a tool version: it holds <code>gemm</code>, the
kernel variant. Packs that ship a <code>.pt</code> or <code>.bin</code>
instead of safetensors — torchao and HQQ commonly do — cannot be read from
metadata and are reported as unreadable rather than as unquantized. Gated
and private repos cannot be read.
</p>
<p>
Built from the tooling behind the
<a href="https://huggingface.co/aleada" rel="noopener">aleada</a> W4A16 packs.
See also the <a href="https://huggingface.co/spaces/aleada/pack-integrity-check" rel="noopener">pack integrity checker</a>, the <a href="https://huggingface.co/spaces/aleada/reasoning-parser-advisor" rel="noopener">reasoning-parser advisor</a> and the <a href="https://huggingface.co/spaces/aleada/model-search-that-answers" rel="noopener">model search</a>.
</p>
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