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yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
45 vs 60
Hardware Fit
67 vs 80
Quality Score
35 vs 52

Hardware

yi-coder-1.5b-chat lfm2.5-thinking:1.2b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB48 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.4.1
Archx64arm64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat lfm2.5-thinking:1.2b
Tokens/sec7.7227.0
First chunk2668 ms60 ms
TTFT2.7 s30.0 s
Load timeN/A0.7 s
Memory usage0.9 GB2.6 GB
Memory %6%6%

HW Fit Score Breakdown

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
Memory
30/30

Quality

yi-coder-1.5b-chat

Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate

lfm2.5-thinking:1.2b

Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong 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