Text Generation
PEFT
Safetensors
English
lora
llama-3.1
tool-use
embedded-ai
esp32
constitutional-ai
wireclaw-agent
conversational
Instructions to use WhitneyDesignLabs/wireclaw-agent-v1.3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use WhitneyDesignLabs/wireclaw-agent-v1.3-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "WhitneyDesignLabs/wireclaw-agent-v1.3-lora") - Notebooks
- Google Colab
- Kaggle
Refresh model card: superseded-by-v1.3.1 banner + cross-links
Browse files
README.md
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# WireClaw Agent v1.3 — LoRA adapter for Llama 3.1 8B Instruct
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WireClaw is an agentic firmware that runs a local LLM (via the [WireClaw](https://github.com/M64GitHub/WireClaw) fork at [WhitneyDesignLabs/WireClaw](https://github.com/WhitneyDesignLabs/WireClaw)) and exposes tools the model can call to interact with the world. The agent receives a Telegram message, decides which tools to call, executes them, and produces a natural-language wrap-up — all under the Project Opengates Constitution.
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# WireClaw Agent v1.3 — LoRA adapter for Llama 3.1 8B Instruct
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> **⚠️ Superseded for chip production by [v1.3.1-lora](https://huggingface.co/WhitneyDesignLabs/wireclaw-agent-v1.3.1-lora)** (2026-05-20). v1.3 remains available as a discrete artifact and is preserved as an intermediate rollback tier on the Ollama host. v1.3.1 patches the harm-citation Article 3 / 12 specificity regression documented below and partially recovers the truth/uncertainty temp=0 hedge-engage behavior. See the v1.3.1 model card for the iteration trail and the new bounded regression (authorization category default temp) it introduces.
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**Built with Llama.** Second-generation fine-tune (v1.1 → v1.3) targeting **constitutional refusal robustness and article-citation discipline**. Trained on the Phase 4.1.x recovered production corpus + 180 targeted synthetic examples. Sibling release of [`v1.1-lora`](https://huggingface.co/WhitneyDesignLabs/wireclaw-agent-v1.1-lora) (prior chip-production) and [`v1.3.1-lora`](https://huggingface.co/WhitneyDesignLabs/wireclaw-agent-v1.3.1-lora) (current chip-production).
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WireClaw is an agentic firmware that runs a local LLM (via the [WireClaw](https://github.com/M64GitHub/WireClaw) fork at [WhitneyDesignLabs/WireClaw](https://github.com/WhitneyDesignLabs/WireClaw)) and exposes tools the model can call to interact with the world. The agent receives a Telegram message, decides which tools to call, executes them, and produces a natural-language wrap-up — all under the Project Opengates Constitution.
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