Model benchmarks
peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP local LLM performance
As of October 2026, peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP runs at up to 82.3 tok/s for local inference (best of 5 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
82.3 tok/s
Average speed
74.0 tok/s
Avg PP
927.5 tok/s
Min memory
29.6 GB
Max context
65,536 tokens
Avg output / run
29,666 tokens
Avg runtime / run
7m 16s
Avg quality
84.9
Benchmark runs
5
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 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.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 82.8 | 84.9 | 87.3 |
| Agent Workflow | 82.1 | 88.7 | 92.8 |
| Code Generation | 69.9 | 75.9 | 86.0 |
| Role Play & Narrative | 79.0 | 85.9 | 93.1 |
| Research & Analysis | 87.4 | 89.0 | 90.9 |
Performance by hardware and tool
Every hardware/tool/quantization combination peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 | Unsloth Studio | UD-IQ4_XS | 82.3 tok/s | 74.0 tok/s | 29.6 GB | 65,536 tokens | 84.9 | 5 |
Benchmark runs
All 5 peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP good for coding?
- In our benchmarks, peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP scores 75.9/100 for coding. It runs at about 74.0 tok/s, so if you want more speed, ornith-ai/Ornith-1.5-35B-A3B-GGUF is faster (~90.8 tok/s) and still scores well for coding (83.8/100).
- Is peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP good for agentic (tool-using) tasks?
- In our benchmarks, peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP scores 88.7/100 for agentic workflows. It runs at about 74.0 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
- How fast is peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP for local inference?
- Across 5 community benchmark runs, peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP reaches up to 82.3 tok/s and averages 74.0 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
- How much memory does peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP need?
- The leanest observed configuration used about 29.6 GB of memory (quantizations tested: UD-IQ4_XS).
- Which tools have been used to run peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP?
- Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.