Instructions to use Crometheus00/henry-llama3-8b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Crometheus00/henry-llama3-8b-instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Crometheus00/henry-llama3-8b-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Verified signature--- license: llama3 base_model: meta-llama/Meta-Llama-3-8B-Instruct language: en library_name: transformers pipeline_tag: text-generation tags: - llama-3 - instruction-tuning - inference - agentic - reasoning --- # Henry LLaMA-3 8B Instruct — Inference Core This repository contains an optimized inference-ready derivative of Meta-LLaMA-3-8B-Instruct. ## Focus - Fast instruction following - Strong reasoning stability - Agent-compatible inference behavior - Upgrade-safe architecture ## Intended Use This model is designed as a **drop-in inference core** for agent systems, tools, and research workflows. ## Training / Modification This repository does **not** expose proprietary training, routing, or agent orchestration logic. ## Inference Compatible with: - 🤗 Transformers - vLLM - TGI-compatible runtimes ## License LLaMA 3 Community License Agreement3a6bec2 -
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