neural-chat:7b

llama · 7B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 37% Compare

Global Score

71 /100

Good

Hardware Fit

96/100

Quality

55/100

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Ollama

ollama pull neural-chat:7b

View on Ollama Library

ollama.com/library/neural-chat

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GGUF versions & quantizations

Hardware

Machine: MacBook Air
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 22.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.7
Time to first token How fast the model starts responding — lower is better: 242 ms
Load time Time to load the model into memory before inference: 0.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 4.5 GB (14%)
Total tokens Total number of tokens generated across all benchmark prompts: 1141

Score breakdown

Speed

36/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

7/20

Coding

9/20

Instruction following

12/20

Structured output

12/15

Math

7/15

Multilingual

8/10

Category levels

Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: f89cf5c2f36ae8c7e6ae74cd85ffc1984fa8c95ac79619e1cadd86ca718bda6d

Interpretation

Hardware fit: 96/100. Overall suitability: GOOD (Global 71/100). Category profile: Reasoning: Weak, Coding: Weak, Instruction Following: Adequate, Structured Output: Strong, Math: Weak, Multilingual: Strong.

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