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Llama
Oct 21
24d ago
How to squeeze the max token from M1 Max 64gb?
r/LocalLLaMA
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Oct 20
24d ago
EAGLE-4 release achieves faster performance than DFlash2 and DSpark, with MTP, DSpark, DFlash 2, and EAGLE-4 benchmarks showing speedups; Qwen 3.8-27B currently supported
r/LocalLLaMA
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24d ago
Geezuz kernel: Qwen3.8-27B runs at up to 190 tok/s on two RTX 3090s (620 tok/s at 8 requests)
r/LocalLLaMA
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24d ago
Used HP Z640 with 2x E5-2680 v4, 64GB ECC, and Quadro M6000; plan to add two 3060s for Qwen 3.8 Flash Next on Strata, llama.cpp, and PyTorch workloads under Ubuntu.
r/LocalLLaMA
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25d ago
24GB is enough for engines that take turns, says system service that manages VRAM allocation and swaps, avoiding collisions and orphaned processes
r/LocalLLaMA
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25d ago
Budget upgrade options for a 31B model: PCIe x1 bottleneck and GPU setup considerations for 16K+ context inference
r/LocalLLaMA
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Oct 19
25d ago
GameSummoner: ease of local use update
r/LocalLLaMA
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25d ago
RTX 5090 Laptop on Linux experiences GPU hangs (Xid 8) during local LLMs; CUDA graphs issue noted with GGML and a workaround is to disable CUDA graphs.
r/LocalLLaMA
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25d ago
Llama.cpp support for Cohere models
r/LocalLLaMA
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25d ago
Alternative approaches to base llama.cpp for RDNA2 GPUs in local LLM usage; user notes WMMA requires RDNA3+ and seeks broader RDNA2 support
r/LocalLLaMA
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25d ago
Strata with multi-GPU explanation
r/LocalLLaMA
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25d ago
Llama server default port changed from 8080 to 9931 (ggml) inside the container starting v0.7.0
r/LocalLLaMA
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26d ago
SonicBoom v0.0.3 outperforms llama.cpp in decoding on a desktop RTX 3050 8 GB, with benchmark results shown for Gemma 4 E4B Q3_K_M and Qwen2.5-0.5B.
r/LocalLLaMA
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Oct 18
26d ago
New quant types suggested: IQ2_K, IQ3_K, IQ4_K, IQ5_K and IQ6_K
r/LocalLLaMA
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Oct 17
27d ago
CUDA shows big speedup for low-bit MMVQ types like Q2_K and Q3_K in llama.cpp pull request 30517
r/LocalLLaMA
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27d ago
Kolibri-1 (Aleph Alpha) support added to llama.cpp with European 78B A3.4B model; GGML community pulls request 30673
r/LocalLLaMA
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27d ago
Russian guide explains how to run DeepSeek locally with Ollama, llama.cpp, LM Studio, vLLM, and Open WebUI
GitHub Trending (AI)
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