smollm2-135m-instruct
LM-STUDIO GGUFllama · 135M · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
Global Score
38 vs 80
Hardware Fit
98 vs 56
Quality Score
12 vs 90
Hardware
smollm2-135m-instr… qwen/qwen3.6-27b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
smollm2-135m-instr… qwen/qwen3.6-27b
Tokens/sec39.310.8
First chunk573 ms16 ms
TTFT573 ms2.6 s
Load timeN/AN/A
Memory usage0.1 GB21.0 GB
Memory %1%66%
HW Fit Score Breakdown
smollm2-135m-instruct
Speed
50/50
TTFT
20/20
Memory
28/30
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
Quality
smollm2-135m-instruct
Reasoning
2/20
Coding
1/20
Instruction
5/20
Structured
3/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
qwen/qwen3.6-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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