Qwen3 Next 80B A3B Instruct

Qwen3 Next 80B A3B Instruct, hybrid mixture of experts, 4-bit GGUF; needs an 80 GB card. Chat in your browser, plus an OpenAI-compatible API.

Engine: llama.cpp · Q4_K_M
Size: 49 GB
GPU memory: 75 GiB or more
Runs on

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Doesn't fit (3)

1× Apple M5 Max (40-core GPU) · New hostinsufficient VRAM: need 80530636800 bytes, device has 402003066881× Apple M3 Max (30-core GPU) · New hostinsufficient VRAM: need 80530636800 bytes, device has 301497057281× Apple M4 Pro (20-core GPU) · New hostinsufficient VRAM: need 80530636800 bytes, device has 38654705664

No hardware in this list has enough memory.

Template details

Rating: No ratings yet
Runs: 0
Min VRAM: 81 GB
Backend: Set by the machine you pick
Weights: 49 GB
Version: llamacpp-qwen3-next-80b-a3b-instruct-v1.0.0
Image digest: 1f4b9cf58982…
Health check: SSH probe on the leased endpoint

We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.

#llm #chat #openai-api #gguf

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