What if Qwen3.5 9B runs out of memory on RTX 4070 12GB?

Unload idle models, cap GPU layers with --num-gpu, and cut context to 2048. KV cache grows with context and is the usual OOM cause.

Should I use Q4 or Q8 for Qwen3.5 9B?

Start Q4_K_M. Bigger model at Q4 beats smaller at Q8. Use Q8 only with 2GB+ headroom.

can i run · seo

Yes — Qwen3.5 9B runs on RTX 4070 12GB

Qwen3.5 9B (9B) needs 10GB VRAM at Q8 vs your 12GB VRAM. Estimated ~31–42 tok/s.

Unified vision-language 9B. The 8 GB card champion — multilingual, sharp at code, Q4 sits around 5.7 GB with cache room.

best fit on this rig · weights + KV + headroom

Q8 · 10GB weights+0.4GB KV @ 8kfits GPU~31–42 tok/s

quant	weights	+ KV 8k	fits 12GB?
Q4	5.7GB	~6.1GB	✓ yes
Q5	7.2GB	~7.6GB	✓ yes
Q8	10GB	~10.4GB	✓ yes
FP16	18GB	~18.4GB	× tight/no

File size ≠ runtime. KV grows with context — halve to 4k/2k if long chats OOM. Leave 1–2GB free.

ollama run qwen3.5:9b

Run it: 1) install Ollama · 2) copy command · 3) verify with ollama ps (want 100% GPU).

huggingface GGUF

faq · straight answers

Can Qwen3.5 9B run on RTX 4070 12GB?

Qwen3.5 9B (9B) needs 10GB VRAM at Q8 vs your 12GB VRAM. Estimated ~31–42 tok/s. Model context 128k. Compare with all models or re-check with your exact specs on the bench.

What if it OOMs?

Unload with ollama stop, cap layers --num-gpu 28, cut context to 2k. See the OOM fixer on the homepage.

Q4 or Q8 on this rig?

Start Q8. Bigger model at Q4 beats smaller at Q8. Only go Q8 if 2GB+ headroom remains.

How fast will it be?

About ~31–42 tok/s when 100% on GPU. Any CPU offload drops speed 5–20× — check ollama ps.

Is Apache-2.0 commercial-safe?

Yes — Apache-2.0 allows commercial use.

also fits RTX 4070 12GB

MiniCPM5 2B · FP16 InternVL3 8B · Q8 DeepSeek-R1 Distill 8B · Q8

Qwen3.5 9B on other rigs

8 GB laptop RTX 3060 12GB RTX 4090 24GB 2x RTX 3090 (48GB)RTX 5090 32GB Mac M4 16GB

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