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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

internlm2_5-1_8b-chat

LM-STUDIO GGUF

internlm2 · Q4_K_M

Marginal

Mar 8, 2026 · Intel Core™ i5-5300U

Global Score
76 vs 55
Hardware Fit
73 vs 60
Quality Score
77 vs 53

Hardware

glm-4.7-flash:bf16 internlm2_5-1_8b-c…
MachineNVIDIA NVIDIA_DGX_SparkLENOVO 20BUS00700
CPUCortex-X925Intel Core™ i5-5300U
Cores204
RAM122 GB16 GB
GPUDevice 2e12Intel(R) HD Graphics 5500
OSUbuntu 24.04.4 LTSMicrosoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 internlm2_5-1_8b-c…
Tokens/sec25.86.6
First chunk605 ms3037 ms
TTFT605 ms3.0 s
Load time44.2 sN/A
Memory usage57.0 GB1.1 GB
Memory %47%7%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

internlm2_5-1_8b-chat

Speed
23/50
TTFT
16/20
Memory
21/30

Quality

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

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
View glm-4.7-flash:bf16 details | View internlm2_5-1_8b-c… 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