Unverified50% confidenceFactExact time
The Shieldstral model card shows it is an Apache 2.0 licensed checkpoint, requires about 16 GB of VRAM under BF16, and Mistral recommends using the 32k context range from training.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
UnverifiedShieldstral can run on a single GPU with 16GB of VRAM.67% similarVerifiedA 35B model requires approximately 70GB of VRAM at FP16 precision, far exceeding the RTX 5090's 32GB capacity, so single-GPU deployment requires quantization.65% similarUnverifiedThe hardware baseline for the test was 10–16 GB VRAM combined with 26–32 GB of system memory, which, using a Kobold or llama.cpp backend, can run at up to a 64K context window.64% similarUnverifiedThe RTX Spark's 128 GB of unified memory can accommodate 70B-level models in terms of capacity (about 35-45 GB after 4-bit quantization), but whether it can achieve smoothness close to a cloud Agent remains to be verified by actual evaluation.62% similarVerifiedModels with 32B parameters can typically be compressed to approximately 16–20 GB of VRAM usage after quantization, and can be run on a single NVIDIA RTX 4090 (24 GB VRAM).62% similar
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