I'm trying to find a local model that uses less than about 30GB of memory to run (since my M2 has 64GB and I want to run other stuff too) that's competent at running tools in a loop to power something similar to Claude Code
OPEN SOURCE
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Managing Multiple CUDA Toolchains: uv Limitations vs Conda
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E.g having multiple CUDA toolchains and switching between them to test whether your lib works right on each, isn't possible with uv. But with conda it's easy.
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Sim Studio AI Repository Released on GitHub
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here's the repo:
↳ https://
github.com/simstudioai/sim -
SimStudio: Open-source visual LLM workflow builder platform
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If you're building agents and want a drag & drop UI, SimStudio is 🔥!
— Charly Wargnier (@DataChaz) 25 juillet 2025
100% open-source, you can *visually* build/deploy LLM workflows, locally or in the cloud.
↳for any LLM incl. local Ollama models
↳ReactFlow UI + pgvector
↳real-time via https://t.co/OZYglYNaZU
repo in 🧵 pic.twitter.com/tof6smTqDeIf you're building agents and want a drag & drop UI, SimStudio is ! 100% open-source, you can *visually* build/deploy LLM workflows, locally or in the cloud. ↳for any LLM incl. local Ollama models
↳ReactFlow UI + pgvector
↳real-time via http://
socket.io repo in -
Multi-Turn Insurance Underwriting: Open-Source LLM Evaluation Benchmark
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New: Multi-Turn Insurance Underwriting: our open-source, expert-reviewed benchmark for multi-step LLM evaluation. Multi-turn chats Tool use & reasoning LLM-judged accuracy On Hugging Face https://
huggingface.co/datasets/snork
elai/Multi-Turn-Insurance-Underwriting
… #LLMEvaluation #RAG #OpenSource -
Frontier Labs Depend Heavily on Open-Source AI Stack
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All closed-source frontier labs use tons of open-source all over the stack, starting from python, @PyTorch
, @huggingface all the way down to RoPE, GQA, flash-attention, or any tiny improvements released by open-source players. The whole transformers architecture (the T in gpT) -
Qwen3-Coder evaluated for agentic coding capabilities
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Claude 4 Opus is strong. But Qwen3-Coder shows what happens when open models get agentic, not just predictive. If you’re a dev, try this model ASAP. Qwen Code CLI: https://
github.com/QwenLM/qwen-co
de
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More info: https://
qwenlm.github.io/blog/qwen3-cod
er/
… Agentic Coding is here. -
Technical Overview of Qwen3-Coder Capabilities and Tool Integration
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Why Qwen3-Coder stands out: • Runs on CLI with tool-use agents
• Built for real-world coding (SWE-Bench, multi-turn planning)
• Executes code with higher accuracy
• Works with Claude Code and OpenAI SDK
• OSS + fast local setup Try it here: https://
chat.qwen.ai -
Technical Overview of Qwen3-Coder Open-Source AI Model
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What is Qwen3-Coder? An open-source 480B parameter agentic code model. • 256K context length (1M with extrapolation)
• Tool-use + browser-use built-in
• State-of-the-art on SWE-Bench Verified It’s the most capable OSS coding model I’ve used so far. -
Local Model Agentic Coding Loop Tool Calling Challenge
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Is anyone having success running a full Claude Code style agentic coding loop against a local model? This feels like the ultimate challenge for local tool calling right now, as it requires potentially dozens of calls in a loop and good performance over a longer context