deepseek-coder-1.3b-instruct
llama · 1.3B · Q8_0
LENOVO 20BUS00700 (Intel Core™ i5-5300U)
16 GB · Microsoft Windows 10 Professionnel 10.0.19045
Tested on March 6, 2026
Global Score
30 /100
Not Rec.
Hardware Fit
66/100
Quality
14/100
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Hardware
- Machine
- LENOVO 20BUS00700
- CPU
- Intel Core™ i5-5300U
- Cores
- 4 total (4 perf)
- Frequency
- 2.3 GHz
- RAM
- 16 GB DDR3
- GPU
- Intel(R) HD Graphics 5500
- OS
- Microsoft Windows 10 Professionnel 10.0.19045
- Arch
- x64
- Power Mode
- balanced
Performance
- Tokens/sec
- 7.1
- Standard deviation
- ±0.2
- First chunk latency
- 3.4 s
- Time to first token
- 3.4 s
- Load time
- N/A
- Memory usage
- 1.3 GB (9%)
- Total tokens
- 1463
Score breakdown
Speed
24/50
Time to first token
15/20
Memory
27/30
Quality
Reasoning
0/20
Coding
3/20
Instruction following
3/20
Structured output
6/15
Math
0/15
Multilingual
2/10
Category levels
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Poor
Metadata
- Spec version
- 0.2.1
- Runtime
- LM Studio 0.4.6+1
- Model format
- GGUF
- Hardware profile
- ENTRY
- Result hash
- 76662fcd08c12944f3f498c269f011177110b7f296514b143b802be7a8eeb14f
Interpretation
Hardware fit: 66/100. Overall suitability: NOT RECOMMENDED (Global 30/100). Category profile: Reasoning: Poor, Coding: Poor, Instruction Following: Poor, Structured Output: Weak, Math: Poor, Multilingual: Poor. Warning: model produced very low accuracy on quality tasks — results may be unusable despite good hardware performance.
Warnings
- Model produced very low accuracy on quality tasks — results may be unusable despite good hardware performance.
Bench Environment
Power: AC CPU load: avg 25% (peak 28%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest