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optimum-intel-internal-testing
optimum-intel-internal-testing/tiny-random-qwen3.5-compressed-tensors
tiny-random-qwen3.5-compressed-tensors is a machine learning model from optimum-intel-internal-testing. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Tiny random Qwen3.5 model, quantized with compressed-tensors (pack-quantized int4, groupsize=16), for testing Optimum Intel's compressed-tensors export support.
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From the Hugging Face model README
Tiny random Qwen3.5 model, quantized with compressed-tensors (pack-quantized int4,
group_size=16), for testing Optimum Intel's compressed-tensors export support.
Only the language-model attention/MLP linears are quantized; the vision tower, lm_head,
and the linear-attention in_proj_a/in_proj_b gating projections are left unquantized,
mirroring the ignore pattern used by real checkpoints such as cyankiwi/Qwen3.5-4B-AWQ-4bit.