Open models ready forproduction workflows
Production-ready models ready for inference. Compare models side-by-side to find the best fit for your use case. Test different models, evaluate their performance, and choose the perfect one for fine-tuning. All models come with deployment notes, evaluation metrics, and usage guidance.
Why LLMTune Models?
Production-ready models with everything you need to deploy and scale.
Open-source foundations
Curated roster of community-leading checkpoints with alignment, guardrails, and deployment notes pulled directly from LLMTune production runs.
Telemetry-ready packaging
Each model ships with recommended prompts, evaluation harnesses, and usage heuristics so your team can activate without exploratory guesswork.
Lifecycle orchestration
Promote from dataset to deployment in one flow — versioned datasets, fine-tune jobs, and API endpoints stay linked for ongoing governance.
Featured Models
Explore our curated selection of production-ready models. Each model comes with deployment notes, evaluation metrics, and usage guidance.
TinyLlama
TinyLlama 1.1B Chat
Small, fast, and reliable model perfect for testing and learning. Recommended for beginners.
Qwen
Qwen2.5 1.5B Instruct
Small model with excellent Arabic language support. Great for multilingual applications.
Meta
Llama 3.2 3B Instruct
Balanced model with good performance and reasonable resource requirements.
Microsoft
Phi-2
Microsoft Phi-2 (2.7B parameters) - Small, efficient model with excellent performance. MIT license. Great for PPO, QA, chat, and code generation.
Mistral AI
Mistral 7B Instruct v0.3
High-quality instruction model with excellent performance. Requires more GPU memory.
Meta
Llama 3.3 70B
High-performance instruction model
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