glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
internlm2_5-1_8b-chat
LM-STUDIO GGUFinternlm2 · Q4_K_M
Mar 8, 2026 · Intel Core™ i5-5300U
Global Score
81 vs 55
Hardware Fit
89 vs 60
Quality Score
77 vs 53
Hardware
glm-4.7-flash:q4_K_M internlm2_5-1_8b-c…
MachineASUSLENOVO 20BUS00700
CPUIntel Core™ i5-14600KFIntel Core™ i5-5300U
Cores204
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERIntel(R) HD Graphics 5500
OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M internlm2_5-1_8b-c…
Tokens/sec35.16.6
First chunk440 ms3037 ms
TTFT440 ms3.0 s
Load time11.6 sN/A
Memory usage18.4 GB1.1 GB
Memory %58%7%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
internlm2_5-1_8b-chat
Speed
23/50
TTFT
16/20
Memory
21/30
Quality
glm-4.7-flash:q4_K_M
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
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
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