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qwen2.5-1.5b-instruct

LM-STUDIO GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 6, 2026 · Intel Core™ i5-5300U

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
61 vs 85
Hardware Fit
69 vs 77
Quality Score
58 vs 88

Hardware

qwen2.5-1.5b-instr… qwen3.8:27b-bf16
MachineLENOVO 20BUS00700Dell Inc. PowerEdge XE8545
CPUIntel Core™ i5-5300UAMD EPYC 7713 64-Core Processor
Cores4128
RAM16 GB1007 GB
GPUIntel(R) HD Graphics 5500GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSMicrosoft Windows 10 Professionnel 10.0.19045Rocky Linux 8.10
Archx64x64
Power Modebalancedunknown

Performance

qwen2.5-1.5b-instr… qwen3.8:27b-bf16
Tokens/sec6.627.2
First chunk2277 ms237 ms
TTFT2.3 s237 ms
Load timeN/A43.8 s
Memory usage0.9 GB68.8 GB
Memory %6%7%

HW Fit Score Breakdown

qwen2.5-1.5b-instruct

Speed
23/50
TTFT
19/20
Memory
27/30

qwen3.8:27b-bf16

Speed
27/50
TTFT
20/20
Memory
30/30

Quality

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen2.5-1.5b-instr… details | View qwen3.8:27b-bf16 details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest