Qwen3-30B-A3B-AWQ

Revision 1ba5586ace54cc9de85addac384eb88576f94598

Open on Hugging Face Plan a deployment

30.5BTOTAL PARAMETERS

—CHECKPOINT BYTES

128 / 8EXPERTS / PER TOKEN

14KDOWNLOADS

TENSOR ACCOUNTING

Where the bytes are.

Summed from the safetensors index, one row per dtype. A parameter count alone cannot produce this figure, because a checkpoint may mix widths.

Dtype	Parameters	Bytes each	Bytes	Share
`I32`	29,896,998,912	4	119.6 GB	—
`F16`	635,123,712	2	1.3 GB	—

EVERY FIELD, WITH ITS ORIGIN

Sourced or undetermined. Never assumed.

Each value below names the exact API field it was computed from. Where the Hub does not establish a value, the reason is shown instead of a plausible default.

Architecture: qwen3_moeconfig.model_type
Model classes: Qwen3MoeForCausalLMconfig.architectures
Routed experts: 128config.num_experts
Experts per token: 8config.num_experts_per_tok
Shared experts: UndeterminedThe published config declares no always-on shared experts.
Routing sparsity: 16.0× (1 of every 16.0 experts)config.num_experts / config.num_experts_per_tok
Total parameters: 30,532,122,624safetensors.total
Checkpoint bytes: UndeterminedThis checkpoint packs 4-bit weights into wider integer containers, so element count multiplied by container width is not the checkpoint size. Use repository storage, which is measured on disk.
Ships below 16-bit: Yesconfig.quantization_config.bits
Quantisation method: awqconfig.quantization_config.quant_method
Trained context: UndeterminedThe config summary omits max_position_embeddings. Trained context is a model-card claim, not a derivable fact.
Declared licence: apache-2.0cardData.license
Base model: Qwen/Qwen3-30B-A3BcardData.base_model
Library: transformerslibrary_name
Files in repository: 16siblings
Last modified: 2025-05-02lastModified

LICENCE POSTURE

Permissive

The repository declares a licence that is generally read as permitting commercial use. Read the licence file in the repository before relying on that.

This is a reading of a metadata field, not legal advice, and it does not account for the licences of upstream models or training data.

PROVENANCE

Derived from https://huggingface.co/api/models/QuixiAI/Qwen3-30B-A3B-AWQ in the snapshot generated 2026-09-05. Evidence class hub_derived: computed mechanically from publisher metadata, never measured by this project.

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