Arxiv:2506.03930 Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Code Codegen Conversational Dataset:tiger-lab/viscode-200k En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/VisCoder-7B
VisCoder 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)
VisCoder 7B Parameters and Internals
| LLM Name | VisCoder 7B |
| Repository 🤗 | https://huggingface.co/TIGER-Lab/VisCoder-7B |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-07-20 |
| Maintainer | TIGER-Lab |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to VisCoder 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 | 6 | 2 |
| StockQwen 2.5 7B | 128K / 15.2 GB | 7 | 5 |
| Tessa T1 7B | 117K / 15.2 GB | 21 | 10 |
| UIGEN T1.5 7B | 117K / 15.2 GB | 14 | 6 |
| Qwen2.5 Coder 7B Instruct | 32K / 15.2 GB | 212829 | 509 |
| Arch Agent 7B | 32K / 15.2 GB | 497 | 41 |
| Qwen2.5 7B MS Destroyer | 32K / 15.2 GB | 4 | 1 |
| Viper Coder HybridMini V1.3 | 32K / 15.2 GB | 45 | 8 |
| Qwen2.5 MFANN 7B SLERP V1.2 | 32K / 14.8 GB | 21 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TIGER-Lab/VisCoder-7B .
Rank the VisCoder 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124