Qwen3 8B

Qwen3 8B, 4-bit GGUF, on llama.cpp; fits 8 GB cards. Chat in your browser, plus an OpenAI-compatible API.

Engine: llama.cpp · Q4_K_M
Size: 5.0 GB
GPU memory: 7.5 GiB or more
Runs on

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Doesn't fit (3)

1× Apple M5 Max (40-core GPU) · New hostno inference runtime for this machine's backend1× Apple M3 Max (30-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 Pro (20-core GPU) · New hostno inference runtime for this machine's backend

Hardware that can run this

Nothing that can run this is online right now.

3 more devices could run it, none online

Hardware	Fits	Est. speed
RTX 3080 Ti · 12 GB	Q4_K_M, Q8	108–155 tok/s
RTX 3090 · 24 GB	Q4_K_M, Q8, FP16	111–159 tok/s
RTX 4090 · 24 GB	Q4_K_M, Q8, FP16	120–171 tok/s

Speeds are estimates from memory bandwidth and weight size, not measured benchmarks. A price is the cheapest listed offer for that hardware.

Template details

Rating: No ratings yet
Runs: 0
Min VRAM: 8.1 GB
Backend: Set by the machine you pick
Version: llamacpp-qwen3-8b-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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