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internlm2_5-1_8b-chat

LM-STUDIO GGUF

internlm2 · Q4_K_M

Marginal

Mar 8, 2026 · Intel Core™ i5-5300U

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
55 vs 83
Hardware Fit
60 vs 96
Quality Score
53 vs 78

Hardware

internlm2_5-1_8b-c… google/gemma-4-e4b
MachineLENOVO 20BUS00700ASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i5-5300UAMD Ryzen 9 8940HX
Cores432
RAM16 GB15 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

internlm2_5-1_8b-c… google/gemma-4-e4b
Tokens/sec6.635.9
First chunk3037 ms9 ms
TTFT3.0 s182 ms
Load timeN/AN/A
Memory usage1.1 GB6.5 GB
Memory %7%43%

HW Fit Score Breakdown

internlm2_5-1_8b-chat

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

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View internlm2_5-1_8b-c… details | View google/gemma-4-e4b 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