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[ARTICLE · art-52956] src=discuss.huggingface.co ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Agentic Coding Harness - July - Daily Driver < 120GB VRAM

A developer reports stable performance running Nvidia's Qwen3.6-27B-NVFP4 model on a DGX Spark system with under 120GB VRAM, sharing specific configuration parameters including quantization, KV-cache dtype, and speculative decoding settings.

read1 min views1 publishedJul 9, 2026

For me, I’m running (nvidia/Qwen3.6-27B-NVFP4 · Hugging Face) I found this to be VERY Stable on my DGX Spark:

--host 0.0.0.0 –port 8006

–served-model-name qwen3.6

–trust-remote-code

–quantization compressed-tensors

–dtype auto

–kv-cache-dtype fp8

–language-model-only

–gpu-memory-utilization 0.80

–max-model-len 131072

–max-num-seqs 6

–max-num-batched-tokens 16384

–enable-prefix-caching

–enable-chunked-prefill

–enable-auto-tool-choice

–tool-call-parser qwen3_xml

–reasoning-parser qwen3

–speculative-config ‘{“method”:“mtp”,“num_speculative_tokens”:3,“moe_backend”:“triton”}’

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