§01·compatibility · /check
Devstral Small 2 (24B) on RTX 3090 Ti
Yes — a published step-by-step recipe documents running Devstral Small 2 (24B) on the RTX 3090 Ti (24 GB). Community benchmark numbers aren't seeded yet, so measured speed and peak VRAM aren't shown.
✓ recipellmactive30 series24GB VRAM
model
- name
- Devstral Small 2 (24B)
- slug
- devstral-small-24b
- vertical
- llm
- status
- active
- repo
- huggingface.co ↗
§02·benchmarks
No verified benchmarks yet. Be the first to contribute one.
§03·common questions
Can you run Devstral Small 2 (24B) on RTX 3090 Ti?
Yes — a published step-by-step recipe documents running Devstral Small 2 (24B) on the RTX 3090 Ti (24 GB). Community benchmark numbers aren't seeded yet, so measured speed and peak VRAM aren't shown.
Are there step-by-step instructions for Devstral Small 2 (24B) on RTX 3090 Ti?
Yes — a step-by-step recipe documents Devstral Small 2 (24B) on the RTX 3090 Ti; see the recipes listed below.
§04·related recipes
- llmintermediate24GB+
Devstral Small 2 (24B) on RTX 3090 Ti: Local Agentic Coding via llama.cpp + OpenHands (24GB, Faster Ampere)
- llmadvanced24GB+
Devstral Small 2 (24B) on RX 7900 XTX: Local Agentic Coding via llama.cpp-HIP + OpenHands (24GB ROCm)
- llmintermediate64GB+
Devstral Small 2 (24B) on Apple M2 Max: Local Agentic Coding via llama.cpp Metal + OpenHands (64GB Apple / Q8_0 default, bf16 opt-in)
- llmintermediate48GB+
Devstral Small 2 (24B) on Apple M3 Max: Local Agentic Coding via llama.cpp Metal + OpenHands (48GB Apple / Q8_0 near-lossless)
- llmintermediate32GB+
Devstral Small 2 (24B) on RTX 5090: Local Agentic Coding via llama.cpp + OpenHands (32GB Quality Tier, near-lossless Q8_0)