Model benchmarks

cyber-tiel-coder-35b-a3b-mtp-ud local LLM performance

As of November 2026, cyber-tiel-coder-35b-a3b-mtp-ud runs at up to 35.0 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

LM Studiollama.cppIQ3_XXS
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Model size

35B

Peak speed

35.0 tok/s

Average speed

31.8 tok/s

Avg PP

294.9 tok/s

Min memory

11.8 GB

Max context

32,768 tokens

Avg output / run

25,571 tokens

Avg runtime / run

14m 53s

Avg quality

78.7

Benchmark runs

2

GPUs tested

1

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 2 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)
Overall78.678.778.8
Agent Workflow83.287.090.8
Code Generation53.363.974.4
Role Play & Narrative69.977.785.4
Research & Analysis84.886.387.7

Performance by hardware and tool

Every hardware/tool/quantization combination cyber-tiel-coder-35b-a3b-mtp-ud has been benchmarked on, ranked by peak token generation speed. Last updated November 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
NVIDIA GeForce RTX 3060llama.cpp—35.0 tok/s35.0 tok/s29.1 GB32,768 tokens78.81
NVIDIA GeForce RTX 3060LM StudioIQ3_XXS28.6 tok/s28.6 tok/s11.8 GB32,768 tokens78.61

Benchmark runs

All 2 cyber-tiel-coder-35b-a3b-mtp-ud 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 good for coding?
In our benchmarks, cyber-tiel-coder-35b-a3b-mtp-ud scores 63.9/100 for coding. It runs at about 31.8 tok/s, so if you want more speed, Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_XXS-mtp is faster (~37.5 tok/s) and still scores well for coding (83.8/100).
Is cyber-tiel-coder-35b-a3b-mtp-ud good for agentic (tool-using) tasks?
In our benchmarks, cyber-tiel-coder-35b-a3b-mtp-ud scores 87.0/100 for agentic workflows. It runs at about 31.8 tok/s, so if you want more speed, swift-iq2_xs is faster (~91.5 tok/s) and still scores well for agentic workflows (91.4/100).
How fast is cyber-tiel-coder-35b-a3b-mtp-ud for local inference?
Across 2 community benchmark runs, cyber-tiel-coder-35b-a3b-mtp-ud reaches up to 35.0 tok/s and averages 31.8 tok/s, with the fastest results on NVIDIA GeForce RTX 3060.
How much memory does cyber-tiel-coder-35b-a3b-mtp-ud need?
The leanest observed configuration used about 11.8 GB of memory (quantizations tested: IQ3_XXS).
Which tools have been used to run cyber-tiel-coder-35b-a3b-mtp-ud?
Benchmarks were submitted using LM Studio, llama.cpp. Results are community-contributed and updated as new runs arrive.