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Qwen3.6-35B-A3B UD-Q5_K_XL GGUF

Qwen3.6-35B Q5 Turbo model image

Qwen3.6-35B-A3B UD-Q5_K_XL GGUF

credit: Qwen / local Turbo
input tok/s61.8
decode tok/s158.5
per-agent tok/s16.3
agent Pareto12 · Intel Arc Pro B70

UD-Q5_K_XL GGUF · llama.cpp SYCL on Intel Arc Pro B70, 12-slot unified KV · selected fleet 12 agents (its Pareto knee). Full throughput curve on Benchmarks.

model dossier

Model sheet

Playable artifacts and benchmark context for this model page.

Road Hopper
1 builds
Robot-Filled Maze Shooter
1 builds
Ribbit Rush
0 builds
Builds
2 recorded outputs
Method
Pareto fleet 12
Runtime
llama.cpp SYCL on Intel Arc Pro B70, 12-slot unified KV
Quant
UD-Q5_K_XL GGUF
Bench
12 agents / 158.5 decode tok/sec
benchmark sheet

Throughput profile

input tok/s61.8
decode tok/s158.5
per-agent tok/s16.3
agent Pareto12 · Intel Arc Pro B70
aggregate decode tok/secper-agent tok/sechighlight = selected fleet
1 agents
68.2 dec79.1/agent · 307.9 in
4 agents
128.0 dec37.7/agent · 116.6 in
8 agents
156.7 dec24.1/agent · 78.4 in
12 agents
158.5 dec16.3/agent · 61.8 in

Highlighted row is the 12-slot B70 live serve ceiling.

Raw sweep table
agentsprompt_t/sagg_gen_t/sper_agent_gen_t/swall_s
1307.9368.1579.123.76
4116.59127.9737.708.00
878.41156.7224.1013.07
1261.75158.4816.3119.38

Generated game outputs

Versions are listed first for selection. Embedded outputs remain below for direct review.

Road Hopper 1 versions

road-hopper_qwen36_35b_q5_turbo_00 · Road Hopper · v1fullscreen ↗ · compare
Road Hopper v1 Qwen3.6-35B Q5 Turbo road-hopper_qwen36_35b_q5_turbo_00fullscreen ↗

Robot-Filled Maze Shooter 1 versions

maze_qwen36_35b_q5_turbo_00 · Robot-Filled Maze Shooter · v1fullscreen ↗ · compare
Robot-Filled Maze Shooter v1 Qwen3.6-35B Q5 Turbo maze_qwen36_35b_q5_turbo_00fullscreen ↗
UNDER RAPID CONSTRUCTION - WILL CHANGE
why

Local agents need public test loops

Working on local agents matters because these tests are the first step toward an R&D base-model trust score: a practical signal for choosing which architectures and models deserve deeper research and development.

Agentic Arcade is a playable hello world for that work. Anyone can open the games, review the artifacts, and compare model behavior. The mission is maximal distribution of intelligence to all people.