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株式会社オブライト

Articles tagged "Mistral"

3 articles

AI2026-10-07
Mistral Large 4 Requirements: VRAM & GPU for the 1T MoE (FP8 ~1TB)
Mistral Large 4 (1T MoE, 49B active) needs an estimated ~1TB at FP8, ~500-580GB at 4-bit. GPU, Mac and API cost compared. Updated Oct 2026; weights due soon.
Open Weight LLMMoERequirements
AI2026-08-06
Shieldstral 1.0 3B Explained: Mistral's Open-Weight Multimodal Moderation Model
Shieldstral 1.0 3B is Mistral AI's Apache 2.0 moderation model, released Aug 4, 2026. It needs ~16GB VRAM in BF16 and screens both text and images together.
MistralRequirementsVRAM
AI2026-05-25
Gemma 4 Performance Benchmark — Compared Against Llama 4, Qwen, Mistral, and DeepSeek on Quality, Speed, and Cost-Efficiency [2026 Open-Weights LLM Showdown]
A 2026 Q2 performance benchmark of Gemma 4 (E2B / E4B / 26B MoE / 31B Dense) against the major open-weights peers — Llama 4, Qwen 3.5, Mistral, and DeepSeek — across MMLU-Pro, GPQA, HumanEval, MATH-500, and MT-Bench. Adds throughput (tokens / s), memory efficiency (quality per GB VRAM), cost per million tokens, Japanese-language performance, native function calling, and Apache 2.0 / MIT / commercial-use licensing as of May 2026, plus a use-case selection matrix for in-house LLM, edge AI, coding assistants, and RAG.
Gemma 4Llama 4Qwen