- GLM Legal free access is available through open model files on Hugging Face, not a paid download.
- Apache-2.0 license covers the
law-glm-10bandlaw-glm-10b-v2model pages. - 10B parameters / 39.5 GB files mean you need serious GPU hardware for local runs.
- Enterprise API access is handled through the official consultation channel, not self-service signup.
- Free developer resources like the GLM cookbook help you prototype legal workflows today.
What GLM Legal Free Access Actually Means
GLM Legal free access refers to the openly published legal-domain AI models in the GLM family — primarily the law-glm-10b and law-glm-10b-v2 checkpoints hosted under the law-llm organization on Hugging Face. These pages are publicly viewable, the model files are downloadable, and the model cards carry an Apache-2.0 license, which is one of the most permissive open-source licenses available.
There is no confirmed standalone GLM Legal website, app store listing, or self-service API portal. If you see a product claiming to be the official GLM Legal app, verify it against the sources listed in this guide before trusting it.
| Access Path | Cost | What You Get | Verified Link |
|---|---|---|---|
| Hugging Face model files | Free download | Full 10B weights, model card | law-glm-10b |
| Hugging Face v2 model files | Free download | Updated v2 checkpoint | law-glm-10b-v2 |
| GLM upstream repo | Free, open source | GLM architecture code and training tooling | THUDM/GLM |
| GLM cookbook | Free, open source | Prompt, RAG, and function-calling patterns | glm-cookbook |
| Enterprise consultation | Case-by-case | Product-level GLM-Legal API discussions | Z.ai's official site |
"GLM Legal" as used here refers to the open legal-domain GLM models. Do not confuse this with LawGLM, a separate open-source research project, or with commercial legal AI products. Always check the Hugging Face organization name law-llm before downloading.
Free Access Requirements & Hardware Reality
Before downloading, understand what a 10B-parameter GLM model actually demands. Free access means no license fee — it does not mean no infrastructure cost.
| Requirement | Minimum Practical | Notes |
|---|---|---|
| Model file storage | ~39.5 GB free disk | Full checkpoint size shown on the model page |
| GPU memory (FP16) | ~20+ GB VRAM | Multi-GPU or A100-class hardware recommended |
| Python environment | 3.8+ | With PyTorch and Transformers installed |
| Loading flag | trust_remote_code=True | Required for GLM custom model code |
| Network | Stable connection to Hugging Face | Large download, resumable via huggingface-cli |
Local Deployment
- Full control over data
- No per-token cost
- Requires serious GPU hardware
Cloud GPU Rental
- No upfront hardware
- Pay hourly for A100/H100
- Good for evaluation phases
Official Consultation
- For production API use
- Enterprise deployment support
- Terms discussed case-by-case
If you cannot host 10B weights locally, prototype your legal prompt workflows with the free GLM cookbook examples first, then move to the full model once your pipeline is validated.
Step-by-Step: Getting Free Access to the Model Files
Follow this sequence to go from zero to a downloaded, loadable GLM Legal checkpoint. Every step uses publicly available, free resources.
Browse the model pages
Open the law-glm-10b and law-glm-10b-v2 pages. Read the model card, license note (Apache-2.0), and the Community tab for the latest user discussions.
Prepare your environment
Install Python 3.8+, PyTorch with CUDA support, and the transformers library. Verify your GPU has enough VRAM and that you have at least 40 GB of free disk space for the weights.
Download the weights
Use huggingface-cli download or the Transformers from_pretrained API pointing at the law-llm/law-glm-10b repository. The download is roughly 39.5 GB, so use a stable connection.
Load with trust_remote_code
GLM models ship custom modeling code, so pass trust_remote_code=True when loading. Only do this with repositories you have verified, since this flag executes remote code.
Run a first legal inference test
Feed a short legal passage — a contract clause or statute excerpt — and verify the model produces coherent Chinese legal text output before building anything larger.
The trust_remote_code=True flag downloads and runs custom Python code from the model repository. Review the code files on the Hugging Face page before enabling it, especially in shared or production environments.
Apache-2.0 License: What Free Use Allows
The Apache-2.0 mark on the model pages is what makes GLM Legal free access legally meaningful. Here is a practical summary — always read the full license text for binding decisions.
| Permission | Apache-2.0 Position | Practical Guidance |
|---|---|---|
| Commercial use | Permitted | Check downstream dependencies too |
| Modification | Permitted | Document your changes |
| Redistribution | Permitted | Include license and notices |
| Patent grant | Included | Protects contributors and users |
| Trademark use | Not granted | Do not imply official endorsement |
| Liability | Disclaimed | No warranty; you carry legal responsibility |
Using a legal AI model does not transfer legal responsibility to the model authors. Any output used in professional legal work still requires review by a qualified lawyer in the relevant jurisdiction.
Free Resources to Extend GLM Legal
Free access does not end at the weights. Several open repositories support building real legal AI applications on top of the GLM family.
GLM Cookbook
- Prompt patterns and structured outputs
- RAG pipeline examples
- Function-calling workflows
- GitHub
THUDM GLM Repo
- GLM architecture source code
- Training and deployment tooling
- Issues and community discussion
- GitHub
LawGLM Project
- Open-source legal AI research
- Legal QA task exploration
- Separate from GLM Legal models
- GitHub
Free Access Milestones:
- Review both law-glm-10b model pages and license
- Set up Python, PyTorch, and Transformers environment
- Download and verify the 39.5 GB model files
- Run a first legal text inference successfully
- Prototype one workflow using the GLM cookbook
Once all milestones are checked, you have a working free-access setup for GLM Legal — no subscription, no license fee, only your own hardware and time.
FAQ
Q: Is GLM Legal free access really free?
The model files on Hugging Face are freely downloadable under the Apache-2.0 license. However, running a 10B model requires significant GPU hardware or rented cloud compute, so the practical cost is infrastructure, not licensing.
Q: Is there an official GLM Legal website or API portal?
No standalone official website has been confirmed for the open GLM Legal models. The verified project pages are the Hugging Face model repositories. Organizations seeking product-level access should use the official z.ai legal consultation channel.
Q: Can I use GLM Legal commercially under Apache-2.0?
Apache-2.0 generally permits commercial use, modification, and redistribution with proper attribution and notice. Review the full license text and any upstream dependencies before deploying in a commercial legal product.
Q: What hardware do I need to run law-glm-10b locally?
Expect roughly 40 GB of disk for the files and 20+ GB of GPU VRAM for FP16 inference. A100-class or multi-GPU setups are the practical choice for smooth performance.