Qwen3.6-35B-A3B with Hermes Agent
NVFP4 (ModelOpt, safetensors) on vLLM 0.32.0. Tested
Task completion
100% (30/30)
Tool-call success
75.2%
Decode tok/s
73.7
Prefill tok/s
6631.8
Server memory
47.3 GB
Avg turns
3.7
Setup
- Model
- Qwen3.6-35B-A3B
- Family / maker
- Qwen · Alibaba Qwen
- Parameters
- 35B (3B active)
- Architecture
- MoE
- Weights
- nvidia/Qwen3.6-35B-A3B-NVFP4
- Quant
- NVFP4 (ModelOpt, safetensors)
- Engine
- vLLM 0.32.0
- Hermes Agent
- v0.22.5
- Tested
- 2026-10-24
- Context
- 192K for all 10 tasks
- Memory tier
- ≤128 GB (measured)
NVIDIA's official NVFP4 checkpoint of Qwen3.6-35B-A3B, served with vLLM. Replaces the earlier 'Qwen3.8 35B-A3B' placeholder, which has no official release.
Per-task results
- t01: 3/3
- t02: 3/3
- t03: 3/3
- t04: 3/3
- t05: 3/3
- t06: 3/3
- t07: 3/3
- t08: 3/3
- t09: 3/3
- t10: 3/3
Copy-paste config
1. Start the model server (vLLM)
Exact command used in our test. vLLM loads the official checkpoint nvidia/Qwen3.6-35B-A3B-NVFP4 (safetensors, no --trust-remote-code); we served a local snapshot of it.
vllm serve nvidia/Qwen3.6-35B-A3B-NVFP4 --served-model-name qwen3-6-35b-a3b-nvfp4 --host 127.0.0.1 --port 18081 --max-model-len 196608 --gpu-memory-utilization 0.40 --max-num-seqs 4 --kv-cache-dtype fp8 --enable-auto-tool-choice --tool-call-parser qwen3_xml --reasoning-parser qwen3 --quantization modelopt --attention-backend flashinfer --moe-backend marlin --enable-prefix-caching --limit-mm-per-prompt {"image":0,"video":0}2. Point Hermes Agent at it
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:18081/v1
hermes config set model.default qwen3-6-35b-a3b-nvfp4Other Qwen setups
- Qwen3.6-27B · Q6_K (GGUF) · llama.cpp
- Qwen3.6-35B-A3B · UD-Q6_K (GGUF) · llama.cpp
- Qwen3.6-35B-A3B · Q8_0 (GGUF) · llama.cpp
- Qwen3.6-35B-A3B · UD-Q4_K_M (GGUF) · llama.cpp
- Qwen3-Coder-Next · FP8 · vLLM
- Qwen3.5-122B-A10B · NVFP4 · vLLM