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internlm2_5-1_8b-chat

LM-STUDIO GGUF

internlm2 · Q4_K_M

Marginal

Mar 8, 2026 · Intel Core™ i5-5300U

prism-ml/bonsai-27b

LM-STUDIO GGUF

qwen35 · 27B · Q1_0

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
55 vs 81
Hardware Fit
60 vs 95
Quality Score
53 vs 75

Hardware

internlm2_5-1_8b-c… prism-ml/bonsai-27b
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… prism-ml/bonsai-27b
Tokens/sec6.633.6
First chunk3037 ms20 ms
TTFT3.0 s409 ms
Load timeN/AN/A
Memory usage1.1 GB5.3 GB
Memory %7%35%

HW Fit Score Breakdown

internlm2_5-1_8b-chat

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

prism-ml/bonsai-27b

Speed
46/50
TTFT
20/20
Memory
29/30

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

prism-ml/bonsai-27b

Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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