falcon-h1-tiny-90m-instruct

falcon-h1 · 90M · Q4_K_M

LENOVO 20BUS00700 (Intel Core™ i5-5300U)

16 GB · Microsoft Windows 10 Professionnel 10.0.19045

Tested on March 8, 2026

Top 89% Compare

Global Score

43 /100

Marginal

Hardware Fit

99/100

Quality

19/100

Get this model

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

MLX versions & conversions

Hardware

Machine: LENOVO 20BUS00700
CPU: Intel Core™ i5-5300U
Cores: 4 total (4 perf)
Frequency: 2.3 GHz
RAM: 16 GB DDR3
GPU: Intel(R) HD Graphics 5500
OS: Microsoft Windows 10 Professionnel 10.0.19045
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 67.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±8.6
First chunk latency Delay before the first streamed chunk arrives from runtime: 762 ms
Time to first token How fast the model starts responding — lower is better: 762 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 0.1 GB (0%)
Total tokens Total number of tokens generated across all benchmark prompts: 1124

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

29/30

Quality

Reasoning

5/20

Coding

0/20

Instruction following

7/20

Structured output

3/15

Math

2/15

Multilingual

2/10

Category levels

Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: GGUF
Hardware profile: ENTRY
Result hash: eec7f607201f011c859b671d59bf2acbf0aaf1c1e4168b06b3888f72bbbadadc

Interpretation

Hardware fit: 99/100. Overall suitability: MARGINAL (Global 43/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Weak, Structured Output: Poor, Math: Poor, Multilingual: Poor.

Bench Environment

Power: AC CPU load: avg 43% (peak 59%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest