Model benchmarks

Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL local LLM performance

As of September 2026, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL runs at up to 50.2 tok/s for local inference (best of 5 community benchmark runs across 2 GPUs).

llama.cppQ6_K
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Model size

35B

Peak speed

50.2 tok/s

Average speed

37.4 tok/s

Avg PP

614.4 tok/s

Min memory

n/a

Max context

65,536 tokens

Avg output / run

20,259 tokens

Avg runtime / run

9m 16s

Avg quality

78.5

Benchmark runs

5

GPUs tested

2

Quality by task

Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 5 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.

TaskP5 (low)AvgP95 (high)
Overall67.478.584.9
Agent Workflow79.687.493.5
Code Generation33.466.680.3
Role Play & Narrative71.581.989.2
Research & Analysis66.278.084.4

Performance by hardware and tool

Every hardware/tool/quantization combination Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
AMD Radeon 8050Sllama.cppQ6_K50.2 tok/s43.5 tok/sn/a65,536 tokens76.93
Tesla P100-PCIE-16GBllama.cppQ6_K28.2 tok/s28.2 tok/sn/a65,536 tokens80.92

Benchmark runs

All 5 Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL good for coding?
In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL scores 66.6/100 for coding. It runs at about 37.4 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
Is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL good for agentic (tool-using) tasks?
In our benchmarks, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL scores 87.4/100 for agentic workflows. It runs at about 37.4 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
How fast is Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL for local inference?
Across 5 community benchmark runs, Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL reaches up to 50.2 tok/s and averages 37.4 tok/s, with the fastest results on AMD Radeon 8050S.
Which tools have been used to run Cyber-Tiel-Coder-35B-A3B-MTP-UD-Q6_K_XL?
Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.