Framework Laptop 13 DIY Edition (AMD Ryzen AI 300 Series): which AI models can it run?
Estimated from the specifications below. Choose the memory size you have or plan to buy, then read the table for that size.
Specifications
- Brand
- Framework
- Year
- 2025
- Chip
- AMD Ryzen AI 5 340, Ryzen AI 7 350 or Ryzen AI 9 HX 370
- Processor
- Ryzen AI 5 340 (6 cores), AI 7 350 (8 cores) or AI 9 HX 370 (12 cores)
- Graphics
- AMD Radeon 840M, 860M or 890M (integrated)
- Memory type
- DDR5-5600 (user-fitted)
- Memory options
- 96 GB
- Memory bandwidth
- 89.6 GB/s
Sources: https://frame.work/laptop13?tab=specs, https://www.amd.com/en/products/processors/laptop/ryzen/ai-300-series/amd-ryzen-ai-9-hx-370.html
Derived peak: 128 bits (two 64-bit channels, per AMD) x 5600 MT/s / 8 = 89.6GB/s. Framework states DDR5-5600 and "up to 96GB" but not GB/s; the page lists no smaller sizes because the memory is bring-your-own or chosen at order.
With 96 GB of memory
About 92 GB of it can hold a model.
| Model | Fit | Needs (GB) | Writing speed (tokens per second) | Speed | Quality | Basis |
|---|---|---|---|---|---|---|
| Llama 3.2 3B llama3.2:3b |
Fits | 5 | 16 to 29 | Fast | not measured yet | Estimated |
| Qwen3 4B qwen3:4b · thinks first |
Fits | 6 | 13 to 23 | Fast | not measured yet | Estimated |
| Gemma 3 4B gemma3:4b |
Fits | 6.7 | 9.5 to 18 | Unclear could be Moderate or Fast | not measured yet | Estimated |
| Mistral 7B v0.3 mistral:7b |
Fits | 7.8 | 7.1 to 13 | Unclear could be Moderate or Fast | not measured yet | Estimated |
| Llama 3.1 8B llama3.1:8b |
Fits | 8.3 | 6.4 to 12 | Unclear could be Moderate or Fast | not measured yet | Estimated |
| Qwen3 8B qwen3:8b · thinks first |
Fits | 8.9 | 6 to 11 | Unclear could be Moderate or Fast | not measured yet | Estimated |
| Gemma 3 12B gemma3:12b |
Fits | 15.9 | 3.9 to 7.2 | Unclear could be Slow or Moderate | not measured yet | Estimated |
| DeepSeek-R1 Distill Qwen 14B deepseek-r1:14b · thinks first |
Fits | 13.7 | 3.5 to 6.5 | Unclear could be Slow or Moderate | not measured yet | Estimated |
| Phi-4 14B phi4:14b |
Fits | 13.9 | 3.4 to 6.4 | Unclear could be Slow or Moderate | not measured yet | Estimated |
| Qwen3 14B qwen3:14b · thinks first |
Fits | 13.4 | 3.4 to 6.3 | Unclear could be Slow or Moderate | not measured yet | Estimated |
| gpt-oss 20B gpt-oss:20b · thinks first |
Fits | 16.5 | 7.8 to 14 | Unclear could be Moderate or Fast | not measured yet | Estimated |
| Gemma 3 27B gemma3:27b |
Fits | 27.2 | 1.8 to 3.4 | Slow | not measured yet | Estimated |
| Qwen3 30B (A3B) qwen3:30b · thinks first |
Fits | 22.6 | 9.2 to 17 | Unclear could be Moderate or Fast | 9.3/10 | Estimated |
| Qwen3 32B qwen3:32b · thinks first |
Fits | 26.3 | 1.6 to 2.9 | Slow | not measured yet | Estimated |
| Llama 3.1 70B llama3.1:70b |
Fits | 51.5 | 0.7 to 1.4 | Slow | not measured yet | Estimated |
| gpt-oss 120B gpt-oss:120b · thinks first |
Fits | 70.5 | 6.6 to 12 | Unclear could be Moderate or Fast | not measured yet | Estimated |
Models marked "thinks first" can write out their reasoning before they answer, so a job takes longer than the speed alone suggests.
Speed is the speed of writing an answer, shown as a range. Reading speed is not estimated. How the estimates work · How close they are · Back to the finder