qwen2.5-coder-1.5b-instruct
LM-STUDIO GGUFqwen2 · 1.5B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
Global Score
61 vs 76
Hardware Fit
69 vs 73
Quality Score
57 vs 77
Hardware
qwen2.5-coder-1.5b… glm-4.7-flash:bf16
MachineLENOVO 20BUS00700NVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i5-5300UCortex-X925
Cores420
RAM16 GB122 GB
GPUIntel(R) HD Graphics 5500Device 2e12
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance
Performance
qwen2.5-coder-1.5b… glm-4.7-flash:bf16
Tokens/sec7.325.8
First chunk2369 ms605 ms
TTFT2.4 s605 ms
Load timeN/A44.2 s
Memory usage0.9 GB57.0 GB
Memory %6%47%
HW Fit Score Breakdown
qwen2.5-coder-1.5b-inst…
Speed
25/50
TTFT
18/20
Memory
26/30
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
Quality
qwen2.5-coder-1.5b-inst…
Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
glm-4.7-flash:bf16
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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