Cerebras/modelzoo

Health v2 · maintenance only

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Adoption not part of the score

1193 stars · 172 forks observed · 2026-09-01

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Cerebras Model Zoo is a collection of reference deep learning model implementations (Llama, Mixtral, DINOv2, Llava, etc.) with configs and utilities optimized for Cerebras hardware. It includes a CLI for training workflows, data preprocessing tools, and checkpoint converters between Cerebras and HuggingFace formats.

Use cases

• pretrain large language models on Cerebras hardware
• fine-tune Llama or Mixtral models
• convert HuggingFace checkpoints to Cerebras format
• preprocess and tokenize datasets for model training
• train vision and multimodal models like DINOv2 and Llava
• apply muP scaling and RoPE scaling to model training

When to choose

• you have access to Cerebras hardware and want reference model implementations
• you need optimized training configs for NLP, vision, or multimodal models
• you want to port PyTorch models to Cerebras systems
• you need checkpoint conversion between Cerebras and HuggingFace formats

When to avoid

• you only train on GPUs or TPUs without Cerebras hardware
• you need inference-only tooling rather than training
• you want a general-purpose model hub like HuggingFace Transformers

Facets

library · maturity active

deep-learning llm-training machine-learning cli etl deep-learning large-language-models machine-learning computer-vision gpu-computing python cli model-zoo cerebras-hardware pytorch checkpoint-conversion fine-tuning pretraining multimodal-models natural-language-processing gpu linux

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markdown · JSON · MCP: product_card(name="Cerebras/modelzoo")