Model benchmarks
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp local LLM performance
As of October 2026, ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp runs at up to 46.3 tok/s for local inference (best of 5 community benchmark runs across 1 GPU).
Model size
27B
Peak speed
46.3 tok/s
Average speed
42.4 tok/s
Avg PP
400.9 tok/s
Min memory
11.3 GB
Max context
32,768 tokens
Avg output / run
41,532 tokens
Avg runtime / run
17m 5s
Avg quality
81.2
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 | 73.9 | 81.2 | 86.7 |
| Agent Workflow | 79.0 | 85.7 | 90.9 |
| Code Generation | 29.6 | 64.6 | 80.2 |
| Role Play & Narrative | 76.3 | 88.9 | 94.4 |
| Research & Analysis | 84.6 | 85.7 | 87.5 |
Performance by hardware and tool
Every hardware/tool/quantization combination ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-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 |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 9070/9070 XT/9070 GRE | llama.cpp | — | 46.3 tok/s | 44.3 tok/s | 13.6 GB | 32,768 tokens | 81.1 | 4 |
| AMD Radeon RX 9070/9070 XT/9070 GRE | Ollama | IQ3_S | 34.5 tok/s | 34.5 tok/s | 11.3 GB | 32,768 tokens | 81.7 | 1 |
Benchmark runs
All 5 ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp good for coding?
- In our benchmarks, ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp scores 64.6/100 for coding. It runs at about 42.4 tok/s, so if you want more speed, Nex-N2.5-mini-IQ3_XXS is faster (~91.4 tok/s) and still scores well for coding (81.6/100).
- Is ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp good for agentic (tool-using) tasks?
- In our benchmarks, ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp scores 85.7/100 for agentic workflows. It runs at about 42.4 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 ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp for local inference?
- Across 5 community benchmark runs, ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp reaches up to 46.3 tok/s and averages 42.4 tok/s, with the fastest results on AMD Radeon RX 9070/9070 XT/9070 GRE.
- How much memory does ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp need?
- The leanest observed configuration used about 11.3 GB of memory (quantizations tested: IQ3_S).
- Which tools have been used to run ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_XXS-mtp?
- Benchmarks were submitted using Ollama, llama.cpp. Results are community-contributed and updated as new runs arrive.