Model benchmarks
peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS local LLM performance
As of October 2026, peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS runs at up to 88.3 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
35B
Peak speed
88.3 tok/s
Average speed
87.4 tok/s
Avg PP
772.6 tok/s
Min memory
14.4 GB
Max context
32,768 tokens
Avg output / run
30,613 tokens
Avg runtime / run
5m 36s
Avg quality
80.8
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.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 77.3 | 80.8 | 84.2 |
| Agent Workflow | 81.6 | 84.3 | 87.0 |
| Code Generation | 66.7 | 74.9 | 83.2 |
| Role Play & Narrative | 77.6 | 80.8 | 83.9 |
| Research & Analysis | 82.8 | 83.0 | 83.2 |
Performance by hardware and tool
Every hardware/tool/quantization combination peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS 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 |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 9070/9070 XT/9070 GRE | llama.cpp | — | 88.3 tok/s | 87.4 tok/s | 14.4 GB | 32,768 tokens | 80.7 | 2 |
Benchmark runs
All 2 peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS good for coding?
- In our benchmarks, peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS scores 74.9/100 for coding. It runs at about 87.4 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MLX-oQ4e is faster (~107.9 tok/s) and still scores well for coding (81.5/100).
- Is peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS good for agentic (tool-using) tasks?
- In our benchmarks, peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS scores 84.3/100 for agentic workflows. It runs at about 87.4 tok/s, so if you want more speed, cyber-tiel-coder-35b-a3b-mtp is faster (~115.9 tok/s) and still scores well for agentic workflows (86.4/100).
- How fast is peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS for local inference?
- Across 2 community benchmark runs, peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS reaches up to 88.3 tok/s and averages 87.4 tok/s, with the fastest results on AMD Radeon RX 9070/9070 XT/9070 GRE.
- How much memory does peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS need?
- The leanest observed configuration used about 14.4 GB of memory.
- Which tools have been used to run peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF-MTP:UD-IQ3_XXS?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.