🦉 Qwen - emschwartz · Scour

Benchmark Qwen 3.6 27B MTP on 2x3090 NVLINK 🏗️LLM Infrastructure

huggingface.co·10h·r/LocalLLaMA

Coding with Local Agents on an RTX 3090 🏗️LLM Infrastructure

praeclarum.org·3d

Browser-Provided Language Models 🔤Tokenization

dsebastien.net·2d

XenoCoreGiger31/Local-Model: Autonomous security agent on Kali Linux using Qwen 2.5-7B with LM Studio 🔧Agent Tooling

github.com·13h·Hacker News

Beyond Rules: LLM-Powered Linting for Quantum Programs 🦙Ollama

Reducing LLM epistemic slop 🦙Ollama

Finally a viable option for local agentic coding - 262k context on ... 💻Coding Agents

reddit.com·1d·r/LocalLLaMA

SubQ: a sub-quadratic LLM with 12M-token context 🏗️LLM Infrastructure

subq.ai·2d·Hacker News

llm-echo 0.5a0 🦙Ollama

simonwillison.net·3d

aevyraai/verdict: Benchmark any LLM against your data. Pick the best model, then make it better. 🦙Ollama

github.com·17h·Hacker News

MTP Speculative Decoding: 4.8x Faster Qwen 3.6 27B on Strix Halo 🔬RaBitQ

sleepingrobots.com·2d

Ex0byt: Qwen ends black-box AI with interpretable features 🔍AI Interpretability

x.com·6d·X

Bypassing Refusal Behavior in Qwen Models via Activation Steering 💉Prompt Injection

lesswrong.com·4d

Mininglamp-AI/cider: W8A8/W4A8 inference on Apple Silicon — unlocking unused INT8 TensorOps in M5 for 1.2–1.9× faster LLM prefill, built as MLX custom primitive... 🏗️LLM Infrastructure

FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios 🏆LLM Benchmarking

mnfst/awesome-free-llm-apis: List of Permanent Free LLM API (API Keys) 🦙Ollama

Esubaalew/appctl: Give an LLM safe, auditable tools for your existing app. 💻CLI Tools

github.com·1d·Hacker News

mlc-ai/web-llm: High-performance In-browser LLM Inference Engine 🏗️LLM Infrastructure

github.com·6d·Hacker News

benmeryem-tech/llm-eval-kit: A lightweight, modular toolkit for evaluating and benchmarking Large Language Models with focus on reasoning quality, consistency, and error detection. 🏆LLM Benchmarking

github.com·6d·Hacker News

kouhxp/liteflow: 1000-line C program where an LLM can edit the DAG mid-run, but only via a four-verb grammar, and every edit is an auditable event 🪄Prompt Engineering

github.com·3d·Hacker News

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