ChatGLM-6B
ChatGLM-6B has tracked benchmark evidence for general LLM work with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 2k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- ChatGLM
- Released
- 2023-03-13
- Context
- 2k
- Parameters
- 6.2B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0(OSI)Commercial use allowed
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
ChatGLM-6B is the original open-source bilingual (Chinese-English) chat model from THUDM (Tsinghua University KEG Lab and Zhipu AI). Released March 13, 2023, it was pre-trained on approximately 1 trillion Chinese-English tokens using supervised fine-tuning and RLHF for alignment. With a 2K context window and 6.2B parameters, it was one of the first widely-accessible open-source LLMs with strong Chinese-language capabilities. Predecessor to ChatGLM2-6B and the ChatGLM3 family.
ChatGLM-6B is an open-source model in the ChatGLM family. The structured metadata tracks a 2k-token context window. Headline tracked benchmarks include GAOKAO 30.8.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(1)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| GAOKAO | 30.8 | zero-shot, objective-accuracy | https://github.com/OpenLMLab/GAOKAO-Bench |
Migration checks
No linked migration route is available for this model yet.
No tracked provider token pricing is available yet.