GP
RahulSChand/gpu_poor
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
1.4k 87 +0/wk
GitHub
ggml gpu huggingface language-model llama llama2 llamacpp llm pytorch quantization
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
RahulSChand/gpu_poor has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | gpu_poor | Risuai | AIlice | OpenOutreach |
|---|---|---|---|---|
| Stars | 1.4k | 1.4k | 1.4k | 1.4k |
| Forks | 87 | 310 | 208 | 215 |
| Weekly Growth | +0 | +4 | +0 | +3 |
| Language | JavaScript | TypeScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | GPL-3.0 | MIT | NOASSERTION |
Capability Radar vs Risuai
gpu_poor
Risuai
Maintenance Activity 0
Last code push 491 days ago.
Community Engagement 31
Fork-to-star ratio: 6.2%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.