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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

tinyllama-1.1b-chat-v1.0

LM-STUDIO GGUF

llama · 1.1B · Q3_K_M

Not Rec.

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score
76 vs 33
Hardware Fit
73 vs 76
Quality Score
77 vs 14

Hardware

glm-4.7-flash:bf16 tinyllama-1.1b-cha…
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 tinyllama-1.1b-cha…
Tokens/sec25.89.9
First chunk605 ms3166 ms
TTFT605 ms3.2 s
Load time44.2 sN/A
Memory usage57.0 GB0.5 GB
Memory %47%3%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

tinyllama-1.1b-chat-v1.0

Speed
32/50
TTFT
16/20
Memory
28/30

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

tinyllama-1.1b-chat-v1.0

Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View glm-4.7-flash:bf16 details | View tinyllama-1.1b-cha… 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