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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&nbsp;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>
</footer>

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