Arxiv:2501.17811 Any-to-any Endpoints compatible Muiltimodal Multi modality Pytorch Region:us Sharded Text-to-image Unified-model
Model Card on HF 🤗: https://huggingface.co/deepseek-ai/Janus-Pro-7B
Janus Pro 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)
Janus Pro 7B Parameters and Internals
| LLM Name | Janus Pro 7B |
| Repository 🤗 | https://huggingface.co/deepseek-ai/Janus-Pro-7B |
| Model Size | 7b |
| Required VRAM | 14.8 GB |
| Updated | 2025-02-21 |
| Maintainer | deepseek-ai |
| Model Type | multi_modality |
| Model Files | |
| Model Architecture | AutoModel |
| License | mit |
| Model Max Length | 16384 |
| Transformers Version | 4.33.1 |
| Tokenizer Class | LlamaTokenizer |
| Torch Data Type | bfloat16 |
Best Alternatives to Janus Pro 7B
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| TroL 7B | 32K / 17.3 GB | 3665 | 8 |
| MoAI 7B | 32K / 17.7 GB | 227 | 45 |
| CoLLaVO 7B | 32K / 18.6 GB | 17 | 21 |
| ... 7b 448 Qinstruct Preview V0.1 | 2K / 17.3 GB | 9 | 4 |
| Autotrain Z7uyk Cwqtz | 0K / 0.2 GB | 7 | 0 |
| Qwen 2.5 7B 1M RRP V1 Lora | 0K / 0.2 GB | 0 | 2 |
| Medical Mixtral 7B V2k | 0K / 0.4 GB | 98 | 0 |
| Silicon Natsuki 7B | 0K / 14.4 GB | 25 | 1 |
| ...Tulu2 7b Writing Prompts 32768 | 0K / 8.5 GB | 78 | 0 |
| Diff Starcoder 7B Rl | 0K / 0.1 GB | 7 | 0 |
Rank the Janus Pro 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227