qwen3-1.7b
LM-STUDIO GGUFqwen3 · 1.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
Global Score
19 vs 66
Hardware Fit
64 vs 100
Quality Score
0 vs 52
Hardware
qwen3-1.7b 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
qwen3-1.7b hf.co/empero-ai/Qw…
Tokens/sec5.940.2
First chunk2111 ms325 ms
TTFT2.1 s325 ms
Load timeN/A3.1 s
Memory usage1.2 GB4.7 GB
Memory %8%30%
HW Fit Score Breakdown
qwen3-1.7b
Speed
21/50
TTFT
19/20
Memory
24/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3-1.7b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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