Model Card on HF 🤗: https://huggingface.co/zai-org/SWE-Dev-9B
SWE Dev 9B 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)
SWE Dev 9B Parameters and Internals
| LLM Name | SWE Dev 9B |
| Repository 🤗 | https://huggingface.co/zai-org/SWE-Dev-9B |
| Model Size | 9b |
| Required VRAM | 18.8 GB |
| Updated | 2025-09-23 |
| Maintainer | zai-org |
| Model Type | chatglm |
| Model Files | |
| Model Architecture | ChatGLMForConditionalGeneration |
| License | mit |
| Model Max Length | 128000 |
| Transformers Version | 4.46.1 |
| Tokenizer Class | ChatGLM4Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151552 |
| Torch Data Type | bfloat16 |
Best Alternatives to SWE Dev 9B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LongWriter Glm4 9B | 0K / 18.8 GB | 348 | 124 |
| LongWriter Glm4 9B | 0K / 18.8 GB | 338 | 124 |
| LongWriter Glm4 9B Abliterated | 0K / 18.8 GB | 3 | 8 |
Rank the SWE Dev 9B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124