GLM-2|6|10|13|70B
by Community
Org profile for THUDM on Hugging Face, the AI community building the future.
OSS
GLM-2|6|10|13|70B
Added 1 June 2026
Overview
THUDM is the Hugging Face organization for Tsinghua University's research group, hosting open-source GLM series models (2B, 6B, 10B, 13B, 70B). These are transformer-based language models for text generation and understanding, available for download and fine-tuning.
Best for
Best for
Developers and researchers who need open-source, customizable Chinese-English LLMs for fine-tuning or deployment.
Use cases
- Fine-tuning GLM models for domain-specific text tasks
- Deploying open-source LLMs for inference in production
- Benchmarking or comparing GLM variants against other models
Notes
THUDM is the Hugging Face organization for Tsinghua University’s research group, hosting open-source GLM series models (2B, 6B, 10B, 13B, 70B). These are transformer-based language models for text generation and understanding, available for download and fine-tuning.
Use cases
- Fine-tuning GLM models for domain-specific text tasks
- Deploying open-source LLMs for inference in production
- Benchmarking or comparing GLM variants against other models
Pros
- Multiple model sizes from 2B to 70B fit different compute budgets
- Open-source weights allow full customization and local deployment
- Backed by academic research from Tsinghua University
Cons
- Community-maintained with no official support or SLAs
- Documentation and examples may be less extensive than commercial models
- Larger models require significant GPU memory and compute
Indexed from awesome-llm and enriched against its public facts.
Pros
- Multiple model sizes from 2B to 70B fit different compute budgets
- Open-source weights allow full customization and local deployment
- Backed by academic research from Tsinghua University
Cons
- Community-maintained with no official support or SLAs
- Documentation and examples may be less extensive than commercial models
- Larger models require significant GPU memory and compute
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