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Qwen3-Next-80B-A3B-Thinking Specialist

Qwen/Qwen3-Next-80B-A3B-Thinking

Released2025-09-11Size81B tensors · MoERoleSpecialistLicenseapache-2.0Context256K config max

Where it runs 8K context · ≥ 5 t/s floor

SetupBest planMemoryGenerate
8 GB GPU + 32 GB RAMDoes not fit
12 GB GPU + 32 GB RAMDoes not fit
16 GB GPU + 64 GB RAMDoes not fit
24 GB GPU + 64 GB RAMDoes not fit
32 GB GPU + 128 GB RAMDoes not fit
2× 24 GB GPUs + 128 GB RAMDoes not fit
96 GB workstation GPU + 256 GB RAMnative BF16vLLMGPU streams weights from RAM · 57 GiB in RAMKV unknown≤ 7.4 t/s Ceiling
Mac, 24 GBDoes not fit
Mac, 48 GBDoes not fit
Mac, 128 GBDoes not fit
Mac, 512 GBDoes not fit
DGX Spark 128 GBDoes not fit
Ryzen AI Max+ 395, 128 GBDoes not fit
CPU only, 64 GB DDR5-5600 dual channelDoes not fit

Same plan engine as the planner, with its default reserves and RAM. How plans are chosen.

Files exact Hugging Face bytes

ArtifactSizeFilesRevisionSource
Native safetensors BF16
Qwen/Qwen3-Next-80B-A3B-Thinking
151 GiB41e502dd4100HF files

Not found in the representative quant search (not proven unavailable): GGUF FP16, GGUF Q8_0, GGUF Q5_K_M, GGUF Q4_K_M, MLX 8-bit, MLX 4-bit, EXL3, AWQ, GPTQ. Complete selected file sets; projectors, MTP/draft and lookup files are listed separately and budgeted only by plans that use them. File bytes are not allocated memory.

Quality

AA evaluated modeIndexLiveCodeBenchTerminal-Bench 2.1GPQAHLESource
Qwen3 Next 80B A3B (Reasoning) AA estimate11.263.7%6.7%75.9%12.6%source

Arena text rating

1,368

CI 1362–1374 · 13,474 votes · published 2026-10-15 · dataset

Explicit name identity; exact hosted revision/local quant equivalence not verified

Publisher-reported benchmarks

None extracted from the model card.

AA and Arena describe the hosted model in the stated mode, not each quantized file; scores are never inherited by base, pruned, abliterated or quantized variants and never averaged together.

How to run it

No model-specific recipe in the research. The planner binds the backend’s documented command template (llama.cpp, Ollama, LM Studio, MLX, vLLM) to your plan: open a plan’s details.

Recipes are source examples (settings are the publisher’s or author’s, not measured optima) and were not executed by LocalFit. A downloadable file does not prove your backend build supports the architecture.

Reported speeds 0

No reported measurement yet. Submit one.