Qwen3-4B-Instruct-2507 โ€” uncompressed baseline

Verbatim, unmodified copy of Qwen/Qwen3-4B-Instruct-2507 pinned at commit cdbee75f17c01a7cc42f958dc650907174af0554.

Kept as the fixed reference point for a model-compression project: every compression ratio and accuracy delta is measured against these numbers. No weights here are changed in any way.

Verified size

Accounting is numel x dtype_itemsize summed over every tensor.

metric value
tensors 398
parameters 4,022,468,096
bytes 8,044,936,192 (7.4924 GiB)
dtype BF16 throughout

Verified independently on a local machine and inside Kaggle; both agree byte-for-byte with the upstream checkpoint.

Where the bytes live

group tensors params GiB share
mlp 108 2,689,597,440 5.010 66.9%
attention 144 943,718,400 1.758 23.5%
embedding 1 388,956,160 0.724 9.7%
norm 145 196,096 0.000 0.0%

Two-thirds of the model is MLP (gate/up/down_proj). The embedding is a single 389 M-parameter tensor, and tie_word_embeddings: true means it is shared with lm_head.

Architecture

36 layers, hidden 2560, intermediate 9728, GQA with 32 query / 8 KV heads, head_dim 128, vocab 151,936.

This is the non-thinking instruct variant; it does not emit <think> blocks. It is a different checkpoint from the original April-2025 Qwen3-4B.

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