smollm2-1.7b-instruct

llama · 1.7B · Q4_K_M

LENOVO 20BUS00700 (Intel Core™ i5-5300U)

16 GB · Microsoft Windows 10 Professionnel 10.0.19045

Tested on March 6, 2026

Top 83% Compare

Global Score

48 /100

Marginal

Hardware Fit

63/100

Quality

41/100

Get this model

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

MLX versions & conversions

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 Tokens generated per second — higher is better: 6.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 3.2 s
Time to first token How fast the model starts responding — lower is better: 3.2 s
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 1.0 GB (6%)
Total tokens Total number of tokens generated across all benchmark prompts: 1183

Score breakdown

Speed

23/50

Time to first token

15/20

Memory

25/30

Quality

Reasoning

5/20

Coding

7/20

Instruction following

12/20

Structured output

10/15

Math

2/15

Multilingual

5/10

Category levels

Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: GGUF
Hardware profile: ENTRY
Result hash: ba75e7c41e4632f7823980c428c97dbb0eb2397f4061a5e964464e21ebf9eccb

Interpretation

Hardware fit: 63/100. Overall suitability: MARGINAL (Global 48/100). Category profile: Reasoning: Weak, Coding: Weak, Instruction Following: Adequate, Structured Output: Adequate, Math: Poor, Multilingual: Weak.

Bench Environment

Power: AC CPU load: avg 27% (peak 29%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest