Model benchmarks
peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP local LLM performance
As of September 2026, peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP runs at up to 26.9 tok/s for local inference (best of 4 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
26.9 tok/s
Average speed
26.8 tok/s
Min memory
17.1 GB
Max context
262,144 tokens
Avg output / run
5,665 tokens
Avg runtime / run
3m 19s
Avg quality
78.9
Benchmark runs
4
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 4 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 | 77.4 | 78.9 | 79.9 |
| Agent Workflow | 81.4 | 81.9 | 82.3 |
| Code Generation | 75.1 | 77.3 | 80.3 |
| Role Play & Narrative | 74.5 | 80.9 | 85.0 |
| Research & Analysis | 74.6 | 75.8 | 76.6 |
Performance by hardware and tool
Every hardware/tool/quantization combination peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1 | llama.cpp | — | 26.9 tok/s | 26.8 tok/s | 17.1 GB | 262,144 tokens | 78.9 | 4 |
Frequently asked questions
- Is peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP good for coding?
- In our benchmarks, peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP scores 77.3/100 for coding. It runs at about 26.8 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
- Is peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP good for agentic (tool-using) tasks?
- In our benchmarks, peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP scores 81.9/100 for agentic workflows. It runs at about 26.8 tok/s, so if you want more speed, unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL is faster (~169.2 tok/s) and still scores well for agentic workflows (83.0/100).
- How fast is peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP for local inference?
- Across 4 community benchmark runs, peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP reaches up to 26.9 tok/s and averages 26.8 tok/s, with the fastest results on Advanced Micro Devices, Inc. [AMD/ATI] HawkPoint1.
- How much memory does peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP need?
- The leanest observed configuration used about 17.1 GB of memory.
- Which tools have been used to run peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.