qwen3.8-27b-fable-distill-heretic-ara-i1
qwen35 · 27B · IQ3_S
Micro-Star International Co., Ltd. MS-7E51 (AMD Ryzen 7 9700X 8-Core Processor)
31 GB · Microsoft Windows 11 Pro 10.0.26200
Tested on August 19, 2026
Global Score
88 /100
Excellent
Hardware Fit
98/100
Quality
84/100
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Hardware
- Machine
- Micro-Star International Co., Ltd. MS-7E51
- CPU
- AMD Ryzen 7 9700X 8-Core Processor
- Cores
- 16 total (16 perf)
- Frequency
- 3.8 GHz
- RAM
- 31 GB DDR5
- GPU
- NVIDIA GeForce RTX 5080, AMD Radeon(TM) Graphics
- OS
- Microsoft Windows 11 Pro 10.0.26200
- Arch
- x64
- Power Mode
- balanced
Performance
- Tokens/sec
- 48.8
- Standard deviation
- ±0.2
- First chunk latency
- 18 ms
- Time to first token
- 276 ms
- Load time
- N/A
- Memory usage
- 11.7 GB (38%)
- Total tokens
- 1179
Score breakdown
Speed
50/50
Time to first token
20/20
Memory
28/30
Quality
Reasoning
15/20
Coding
18/20
Instruction following
15/20
Structured output
15/15
Math
11/15
Multilingual
10/10
Category levels
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- LM Studio 0.4.15+2
- Model format
- GGUF
- Hardware profile
- BALANCED
- Result hash
- c1410b4a8127b4ba55c03765f124c7014c3b8d477a256c7f39057cf7785a983f
Interpretation
Hardware fit: 98/100. Overall suitability: EXCELLENT (Global 88/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.
Warnings
- Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.
Bench Environment
CPU load: avg 15% (peak 18%)
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npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest