smollm2-1.7b-instruct
LM-STUDIO GGUFllama · 1.7B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
48 vs 76
Hardware Fit
63 vs 100
Quality Score
41 vs 66
Hardware
smollm2-1.7b-instr… hf.co/empero-ai/Qw…
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
smollm2-1.7b-instr… hf.co/empero-ai/Qw…
Tokens/sec6.640.3
First chunk3184 ms101 ms
TTFT3.2 s101 ms
Load timeN/A2.7 s
Memory usage1.0 GB4.5 GB
Memory %6%28%
HW Fit Score Breakdown
smollm2-1.7b-instruct
Speed
23/50
TTFT
15/20
Memory
25/30
hf.co/empero-ai/Qwen3.8…
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
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest