internlm2_5-1_8b-chat
LM-STUDIO GGUFinternlm2 · Q4_K_M
Mar 8, 2026 · Intel Core™ i5-5300U
qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
Global Score
55 vs 80
Hardware Fit
60 vs 56
Quality Score
53 vs 90
Hardware
internlm2_5-1_8b-c… 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
internlm2_5-1_8b-c… qwen/qwen3.6-27b
Tokens/sec6.610.8
First chunk3037 ms16 ms
TTFT3.0 s2.6 s
Load timeN/AN/A
Memory usage1.1 GB21.0 GB
Memory %7%66%
HW Fit Score Breakdown
internlm2_5-1_8b-chat
Speed
23/50
TTFT
16/20
Memory
21/30
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
Quality
internlm2_5-1_8b-chat
Reasoning
10/20
Coding
9/20
Instruction
14/20
Structured
10/15
Math
5/15
Multilingual
5/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Adequate
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