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Qwen3.6-27B with Hermes Agent

Q6_K (GGUF) on llama.cpp commit a37cc46. Tested

Task completion
96.7% (29/30)
Tool-call success
77.9%
Decode tok/s
9.5
Prefill tok/s
742.3
Server memory
24.5 GB
Avg turns
3.3

Setup

Model
Qwen3.6-27B
Family / maker
Qwen · Alibaba Qwen
Parameters
27B
Architecture
dense
Weights
unsloth/Qwen3.6-27B-GGUF
Quant
Q6_K (GGUF)
Engine
llama.cpp commit a37cc46
Hermes Agent
v0.22.4
Tested
2026-10-22
Context
64K (65,536 tokens); long-context task t09 at 128K or 192K
Memory tier
≤128 GB (measured)

Most-recommended local model in r/hermesagent threads (community report, not yet verified here).

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: 2/3
  • t09: 3/3 (rerun 2026-10-23, 192K context)
  • t10: 3/3

Copy-paste config

1. Start the model server (llama.cpp)

Exact command used in our test. Download the GGUF from unsloth/Qwen3.6-27B-GGUF into ./models/.

llama-server --model ./models/Qwen3.6-27B-Q6_K.gguf --alias qwen3-6-27b --host 127.0.0.1 --port 18080 --ctx-size 65536 --parallel 1 --n-gpu-layers 999 --flash-attn on --jinja

2. Point Hermes Agent at it

hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:18080/v1
hermes config set model.default qwen3-6-27b

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