Model benchmarks
CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW local LLM performance
As of September 2026, CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW runs at up to 51.1 tok/s for local inference (best of 2 community benchmark runs across 0 GPUs).
Model size
35B
Peak speed
51.1 tok/s
Average speed
50.1 tok/s
Avg PP
489.7 tok/s
Min memory
n/a
Max context
65,536 tokens
Avg output / run
19,774 tokens
Avg runtime / run
6m 49s
Avg quality
80.2
Benchmark runs
2
GPUs tested
0
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 | 79.5 | 80.2 | 81.0 |
| Agent Workflow | 75.4 | 78.3 | 81.2 |
| Code Generation | 65.3 | 72.0 | 78.7 |
| Role Play & Narrative | 91.8 | 92.4 | 93.1 |
| Research & Analysis | 78.0 | 78.2 | 78.3 |
Performance by hardware and tool
Every hardware/tool/quantization combination CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW 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 |
|---|---|---|---|---|---|---|---|---|
| CPU only | llama.cpp | — | 51.1 tok/s | 50.1 tok/s | n/a | 65,536 tokens | 80.2 | 2 |
Benchmark runs
All 2 CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW good for coding?
- In our benchmarks, CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW scores 72.0/100 for coding. It runs at about 50.1 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 CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW good for agentic (tool-using) tasks?
- In our benchmarks, CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW scores 78.3/100 for agentic workflows. It runs at about 50.1 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 CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW for local inference?
- Across 2 community benchmark runs, CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW reaches up to 51.1 tok/s and averages 50.1 tok/s.
- Which tools have been used to run CHADROCK-35B-Ace-Saber-MTP-ROCmFPX-MoEQuality-7.07BPW?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.