SWE Dev 7B is an open-source language model by zai-org. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: mit, Instruction-Based, Code Generating, LLM Explorer Score: 0.18.
Model Card on HF 🤗: https://huggingface.co/zai-org/SWE-Dev-7B
SWE Dev 7B 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 7B Parameters and Internals
| LLM Name | SWE Dev 7B |
| Repository 🤗 | https://huggingface.co/zai-org/SWE-Dev-7B |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2026-07-01 |
| Maintainer | zai-org |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.46.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to SWE Dev 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Rebase | 986K / 15.2 GB | 73 | 2 |
| Qwen2.5 7B Rebase | 986K / 15.2 GB | 16 | 2 |
| StockQwen 2.5 7B | 128K / 15.2 GB | 7 | 6 |
| DareQwen 2.5 7B | 128K / 15.2 GB | 6 | 1 |
| Tessa T1 7B | 117K / 15.2 GB | 7 | 10 |
| UIGEN T1.5 7B | 117K / 15.2 GB | 8 | 6 |
| Qwen2.5 Coder 7B Instruct | 32K / 15.2 GB | 2343223 | 712 |
| Qwen2.5 7B MS Destroyer | 32K / 15.2 GB | 9 | 1 |
| Viper Coder HybridMini V1.3 | 32K / 15.2 GB | 30 | 9 |
| ...7B Kernelbook Sft Equal Tokens | 32K / 15.2 GB | 104 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than zai-org/SWE-Dev-7B .
Rank the SWE Dev 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a