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Qwen3-Next-80B-A3B-Thinking (2025)

Qwen3-Next-80B-A3B-Thinking is a large language model released by Alibaba, released under the apache-2.0 license, with a claimed knowledge cutoff of 2025-09-30. Its weights, configuration, and tokenizer files have been cryptographically hashed and are queued for on-chain attestation by Weight Registry.

Description

Qwen3-Next-80B-A3B-Thinking is a reasoning-focused chat model in Alibaba's Qwen3-Next line (80B total/3B active MoE), released September 2025, that outputs structured 'thinking' traces by default for hard multi-step problems including math proofs, code synthesis/debugging, and agentic tasks.

Metadata

Type
LLM
Issuer
Alibaba
License
apache-2.0
Size
151.49 GB
Knowledge cutoff
2025-09-30
Source
https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking
Revision
e502dd4100cc68c0de57643fd4317ec93a128670

Hugging Face stats

43,250 downloads on Hugging Face · 496 likes · pipeline: text-generation · library: transformers

transformerssafetensorsqwen3_nexttext-generationconversationaleval-resultsendpoints_compatible

Weight Hashes

Weights file
41 shards (Merkle root) · 151.49 GB
SHA-256b2f348af5e05072aa4cc735bc74f838f900923531f3f0a373a0eebd57253b8c4
SHA3-2565ca97024b4db57dbddc120fb0b1a8c3ceb0d3ebcbb29bf7aa40d5018b591de0f
BLAKE35f82197bbcd68571fa481576000e136bfa164aaf8342ad723aad9378170c2641
Config file
config.json · 1.13 KB
SHA-2562d483c7cabad7c8704478ed4038fa7e7b2eff840bc00a118eccbe38e2b488303
SHA3-256dabcf7b945191133853491655faf4db606bcfa4490795001f1d88f6b9d924404
BLAKE316ba8c5ff2d13c280fe3e80f4338898f57b9122fd7d7942662729f07c8f2e273
Tokenizer file
tokenizer.json · 10.89 MB
SHA-256aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
SHA3-256427a6d44f980384d37f957696c4f7d191d0e3b3b7819bf4ee5c84634dd86a4a0
BLAKE3b0cb923fc505fdf0a53f0287654fa26577d3f333d4134350da0a97664b228739

Verify it yourself

Download the file(s) from the source below, then hash them locally (sha256sum <file> on Linux/macOS, certutil -hashfile <file> SHA256 on Windows) and compare the output against the hash(es) shown above.