Arxiv:2406.08085 Autotrain compatible Endpoints compatible Llama Pytorch Region:us Sharded Video understanding Vision Vision-language model Vstream
Model Card on HF 🤗: https://huggingface.co/IVGSZ/Flash-VStream-7b
Flash VStream 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)
Flash VStream 7B Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | Flash VStream 7B |
| Repository 🤗 | https://huggingface.co/IVGSZ/Flash-VStream-7b |
| Model Size | 7b |
| Required VRAM | 14.2 GB |
| Updated | 2025-02-22 |
| Maintainer | IVGSZ |
| Model Type | vstream |
| Model Files | |
| Model Architecture | VStreamLlamaForCausalLM |
| License | llama2 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Rank the Flash VStream 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227