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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

hf.co/unsloth/gemma-4-E4B-it-GGUF:Q4_K_M

OLLAMA GGUF

gemma4 · 7.52B · unknown

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
45 vs 87
Hardware Fit
67 vs 100
Quality Score
35 vs 82

Hardware

yi-coder-1.5b-chat hf.co/unsloth/gemm…
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat hf.co/unsloth/gemm…
Tokens/sec7.735.0
First chunk2668 ms204 ms
TTFT2.7 s204 ms
Load timeN/A3.9 s
Memory usage0.9 GB4.9 GB
Memory %6%31%

HW Fit Score Breakdown

yi-coder-1.5b-chat

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

hf.co/unsloth/gemma-4-E…

Speed
50/50
TTFT
20/20
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

hf.co/unsloth/gemma-4-E…

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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