smollm2-1.7b-instruct
LM-STUDIO GGUFllama · 1.7B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
48 vs 73
Hardware Fit
63 vs 100
Quality Score
41 vs 62
Hardware
smollm2-1.7b-instr… mlx-community/Yi-1…
MachineLENOVO 20BUS00700MacBook Air
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
smollm2-1.7b-instr… mlx-community/Yi-1…
Tokens/sec6.629.1
First chunk3184 ms451 ms
TTFT3.2 s451 ms
Load timeN/AN/A
Memory usage1.0 GB0.9 GB
Memory %6%3%
HW Fit Score Breakdown
smollm2-1.7b-instruct
Speed
23/50
TTFT
15/20
Memory
25/30
mlx-community/Yi-1.5-6B…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
smollm2-1.7b-instruct
Reasoning
5/20
Coding
7/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
mlx-community/Yi-1.5-6B…
Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest