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/lmg/ - a general dedicated to the discussion and development of local language models. News >(10/30) Google receives response from Gemma in space:
https://blog.google/innovation-and-ai/models-and-research/google-research/project-suncatcher-satellite-response
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>(10/29) Mistral Large 4 (Le Chonk) 1T-A52B released:
https://mistral.ai/news/mistral-large-4-oss
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>(10/27) NVidia releases Nemotron 3.5 Transcribe 30B-A4B:
https://hf.co/nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B
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>(10/26) XHToken releases Spark-X2.6-1.7B:
https://hf.co/XHToken/Spark-X2.6-1.7B
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>(10/26) LiquidAI releases LFM3 1.7B and 2B:
https://hf.co/collections/LiquidAI/lfm3
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News Archive:
https://rentry.org/lmg-news-archive
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Links:
https://rentry.org/LocalModelsLinks
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Official /lmg/ card:
https://files.catbox.moe/cbclyf.png
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Getting Started
https://rentry.org/lmg-lazy-getting-started-guide
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https://rentry.org/lmg-build-guides
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https://rentry.org/IsolatedLinuxWebService
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https://rentry.org/recommended-models
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https://rentry.org/samplers
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https://rentry.org/MikupadIntroGuide
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Further Learning
https://rentry.org/machine-learning-roadmap
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https://rentry.org/llm-training
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https://rentry.org/LocalModelsPapers
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Benchmarks LiveBench:
https://livebench.ai
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Programming:
https://swe-rebench.com
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Agentic Coding:
https://deepswe.datacurve.ai
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Context Length:
https://github.com/RecapAnon/NoLiMa
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GPUs:
https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference
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Tools GGUF VRAM Calculator:
https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator
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Sampler Visualizer:
https://artefact2.github.io/llm-sampling
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Token Speed Visualizer:
https://shir-man.com/tokens-per-second
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Text Gen. UI, Inference Engines
https://github.com/lmg-anon/mikupad
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https://github.com/oobabooga/text-generation-webui
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https://github.com/LostRuins/koboldcpp
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https://github.com/ggerganov/llama.cpp
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https://github.com/theroyallab/tabbyAPI
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https://github.com/vllm-project/vllm
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https://rentry.org/custom-uis
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I don't think qwen has a well established mascot, there are too many variants
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