Model Card on HF 🤗: https://huggingface.co/THUDM/VisionReward-Video
VisionReward Video 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)
VisionReward Video Parameters and Internals
| LLM Name | VisionReward Video |
| Repository 🤗 | https://huggingface.co/THUDM/VisionReward-Video |
| Model Size | 12.5b |
| Required VRAM | 25.1 GB |
| Updated | 2025-07-28 |
| Maintainer | THUDM |
| Model Files | |
| Supported Languages | en |
| Model Architecture | CogVLMVideoForCausalLM |
| License | other |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.43.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to VisionReward Video
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| VisionReward Video | 2K / 25.1 GB | 899 | 6 |
| Cogvlm2 Video Llama3 Chat | 2K / 25.1 GB | 1110 | 51 |
| Cogvlm2 Video Llama3 Chat | 2K / 25.1 GB | 206 | 52 |
| Cogvlm2 Video Llama3 Base | 2K / 25.1 GB | 68 | 1 |
| Cogvlm2 Video Llama3 Base | 2K / 25.1 GB | 9 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than THUDM/VisionReward-Video .
Rank the VisionReward Video Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124