GLM-Z1-Rumination-32B-0414

GLM-Z1-Rumination-32B-0414 is a specialized deep reasoning model from the GLM-4 family, featuring 32 billion parameters and designed to perform complex research and analytical tasks. Unlike standard deep-thinking models, the Rumination version is capable of extended deliberation, enabling it to effectively tackle comprehensive tasks such as writing comparative analytical reviews or developing strategic development plans.

The model was trained using scalable end-to-end reinforcement learning, where responses were evaluated against reference solutions or specialized rubrics. During the reasoning process, GLM-Z1-Rumination-32B-0414 can utilize external search tools to locate and analyze information, significantly expanding its capabilities. The training process placed particular emphasis on developing skills in academic writing, generating complex reports, and producing analytical content. As a result, the model demonstrates significant progress in tasks requiring logical analysis, information structuring, justification of conclusions, and generating texts in the style of scientific publications and analytical reviews.

GLM-Z1-Rumination-32B-0414 supports context lengths of up to 128K tokens, making it especially effective for tasks involving the analysis of large data volumes, writing long-form texts, and conducting in-depth research.

Announce Date: 14.04.2025
Parameters: 32B
Context: 131K
Attention Type: Full Attention
VRAM requirements: 45.4 GB using 4 bits quantization
Developer: Z.ai
Transformers Version: 4.52.0.dev0
License: Apache 2.0

Use our pre-built public endpoints to test inference and explore GLM-Z1-Rumination-32B-0414 capabilities.

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

• maximize endpoint performance,
• enable full context for long sequences,
• ensure top-tier security for data processing in an isolated, dedicated environment,
• use custom weights, such as fine-tuned models or LoRA adapters.

Contact our dedicated neural networks support team at nn@immers.cloud or send your request to the sales department at sale@immers.cloud.