Arxiv:2401.18058 Chatglm Custom code En Feature-extraction Long context Pytorch Region:us Sharded Zh
Model Card on HF 🤗: https://huggingface.co/zai-org/LongAlign-6B-64k-base
LongAlign 6B 64K Base Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
LongAlign 6B 64K Base Parameters and Internals
| LLM Name | LongAlign 6B 64K Base |
| Repository 🤗 | https://huggingface.co/zai-org/LongAlign-6B-64k-base |
| Model Size | 6b |
| Required VRAM | 12.3 GB |
| Updated | 2025-09-23 |
| Maintainer | zai-org |
| Model Type | chatglm |
| Model Files | |
| Supported Languages | en zh |
| Model Architecture | ChatGLMForConditionalGeneration |
| License | apache-2.0 |
| Transformers Version | 4.33.0 |
| Tokenizer Class | ChatGLMTokenizer |
| Vocabulary Size | 65024 |
| Torch Data Type | bfloat16 |
Best Alternatives to LongAlign 6B 64K Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ChatGLM3 6B Theresa | 0K / 12.5 GB | 9 | 1 |
| LongAlign 6B 64K | 0K / 12.5 GB | 55 | 2 |
| LongAlign 6B 64K Base | 0K / 12.3 GB | 7 | 5 |
| LongAlign 6B 64K | 0K / 12.5 GB | 6 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than zai-org/LongAlign-6B-64k-base .
Rank the LongAlign 6B 64K Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124