social spec card & share

hardware fit card generator

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Generate high-resolution social preview cards, copy share links, or export Reddit & Discord formatted benchmark tables to show your rig's local model sizing.

quick presets:
card style:
↗ post to r/LocalLLaMA
reddit / discord markdown:
### ⚡ What Can I Run? Fit Report
**Rig:** NVIDIA GeForce RTX 4090 (24GB VRAM) + 64GB RAM | **Context:** 8k tokens
**OS:** Linux

| Model | Quant | Total Memory | Speed | Fit Mode |
| :--- | :---: | :---: | :---: | :---: |
| **Qwen3.8 27B** | `Q5` | 21 GB | ~31–42 tok/s | GPU |
| **MiniCPM5 2B** | `FP16` | 5.2 GB | ~117+ tok/s (blazing) | GPU |
| **Mistral Small 3.2** | `Q5` | 18 GB | ~36–48 tok/s | GPU |
| **Nemotron 3 Nano 30B-A3B** | `Q4` | 18.2 GB | ~347+ tok/s (blazing) | GPU |

*Generated with [whatcanirun.dev](https://whatcanirun.dev)*
ascii telemetry card:
+-------------------------------------------------------------+
|  WHAT CAN I RUN? - HARDWARE FIT BENCHMARK REPORT             |
+-------------------------------------------------------------+
| RIG:     NVIDIA GeForce RTX 4090 (24GB VRAM)                |
| RAM:     64 GB System RAM · Linux                           |
| CONTEXT: 8k tokens active KV cache                          |
+-------------------------------------------------------------+
| TOP RUNNABLE OPEN-WEIGHT MODELS:                            |
| 1. Qwen3.8 27B          [Q5   ] 21GB   ~31–42 tok/s     |
| 2. MiniCPM5 2B          [FP16 ] 5.2GB  ~117+ tok/s (blazing) |
| 3. Mistral Small 3.2    [Q5   ] 18GB   ~36–48 tok/s     |
| 4. Nemotron 3 Nano 30B-A3B [Q4   ] 18.2GB ~347+ tok/s (blazing) |
+-------------------------------------------------------------+
| Verify your specs & copy runner commands at whatcanirun.dev |
+-------------------------------------------------------------+
Aarav — RTX 4090Qwen3.8 27B Q4 · 2m agoPriya — M4 16GBPhi-4 Mini Q8 · 4m agoRohan — RTX 3060 12GBGemma 3 12B Q5 · 6m agoSneha — 2x RTX 3090Llama 3.3 70B Q4 · 9m agoVikram — 8GB laptopQwen3 8B Q4 · 11m agoAnanya — M4 Max 64GBDeepSeek-R1 32B Q4 · 14m agoKabir — RTX 4070 12GBMistral Small 3.2 Q4 · 18m agoIsha — Mac Studio 128GBGLM-5.3 Flash IQ2 · 22m agoAarav — RTX 4090Qwen3.8 27B Q4 · 2m agoPriya — M4 16GBPhi-4 Mini Q8 · 4m agoRohan — RTX 3060 12GBGemma 3 12B Q5 · 6m agoSneha — 2x RTX 3090Llama 3.3 70B Q4 · 9m agoVikram — 8GB laptopQwen3 8B Q4 · 11m agoAnanya — M4 Max 64GBDeepSeek-R1 32B Q4 · 14m agoKabir — RTX 4070 12GBMistral Small 3.2 Q4 · 18m agoIsha — Mac Studio 128GBGLM-5.3 Flash IQ2 · 22m agoAarav — RTX 4090Qwen3.8 27B Q4 · 2m agoPriya — M4 16GBPhi-4 Mini Q8 · 4m agoRohan — RTX 3060 12GBGemma 3 12B Q5 · 6m agoSneha — 2x RTX 3090Llama 3.3 70B Q4 · 9m agoVikram — 8GB laptopQwen3 8B Q4 · 11m agoAnanya — M4 Max 64GBDeepSeek-R1 32B Q4 · 14m agoKabir — RTX 4070 12GBMistral Small 3.2 Q4 · 18m agoIsha — Mac Studio 128GBGLM-5.3 Flash IQ2 · 22m ago
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