Tag: llama
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Simon Willison’s Weblog: lm.rs: run inference on Language Models locally on the CPU with Rust
Source URL: https://simonwillison.net/2024/Oct/11/lmrs/ Source: Simon Willison’s Weblog Title: lm.rs: run inference on Language Models locally on the CPU with Rust Feedly Summary: lm.rs: run inference on Language Models locally on the CPU with Rust Impressive new LLM inference implementation in Rust by Samuel Vitorino. I tried it just now on an M2 Mac with 64GB…
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Hacker News: Lm.rs Minimal CPU LLM inference in Rust with no dependency
Source URL: https://github.com/samuel-vitorino/lm.rs Source: Hacker News Title: Lm.rs Minimal CPU LLM inference in Rust with no dependency Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text pertains to the development and utilization of a Rust-based application for running inference on Large Language Models (LLMs), particularly the LLama 3.2 models. It discusses technical…
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Hacker News: ARIA: An Open Multimodal Native Mixture-of-Experts Model
Source URL: https://arxiv.org/abs/2410.05993 Source: Hacker News Title: ARIA: An Open Multimodal Native Mixture-of-Experts Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of “Aria,” an open multimodal native mixture-of-experts AI model designed for various tasks including language understanding and coding. As an open-source project, it offers significant advantages for…
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The Register: AMD targets Nvidia H200 with 256GB MI325X AI chips, zippier MI355X due in H2 2025
Source URL: https://www.theregister.com/2024/10/10/amd_mi325x_ai_gpu/ Source: The Register Title: AMD targets Nvidia H200 with 256GB MI325X AI chips, zippier MI355X due in H2 2025 Feedly Summary: Less VRAM than promised, but still gobs more than Hopper AMD boosted the VRAM on its Instinct accelerators to 256 GB of HBM3e with the launch of its next-gen MI325X AI…
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Slashdot: Researchers Claim New Technique Slashes AI Energy Use By 95%
Source URL: https://science.slashdot.org/story/24/10/08/2035247/researchers-claim-new-technique-slashes-ai-energy-use-by-95?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Researchers Claim New Technique Slashes AI Energy Use By 95% Feedly Summary: AI Summary and Description: Yes Summary: Researchers at BitEnergy AI, Inc. have introduced Linear-Complexity Multiplication (L-Mul), a novel technique that reduces AI model power consumption by up to 95% by replacing floating-point multiplications with integer additions. This…
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Simon Willison’s Weblog: Cerebras Inference: AI at Instant Speed
Source URL: https://simonwillison.net/2024/Aug/28/cerebras-inference/#atom-everything Source: Simon Willison’s Weblog Title: Cerebras Inference: AI at Instant Speed Feedly Summary: Cerebras Inference: AI at Instant Speed New hosted API for Llama running at absurdly high speeds: “1,800 tokens per second for Llama3.1 8B and 450 tokens per second for Llama3.1 70B". How are they running so fast? Custom hardware.…