Model Card on HF 🤗: https://huggingface.co/xinlai/LISA-7B-v1-explanatory
LISA 7B V1 Explanatory 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)
LISA 7B V1 Explanatory Parameters and Internals
| LLM Name | LISA 7B V1 Explanatory |
| Repository 🤗 | https://huggingface.co/xinlai/LISA-7B-v1-explanatory |
| Model Size | 7b |
| Required VRAM | 16.1 GB |
| Updated | 2025-02-22 |
| Maintainer | xinlai |
| Model Type | llava |
| Model Files | |
| Model Architecture | LISAForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32004 |
| Torch Data Type | bfloat16 |
Best Alternatives to LISA 7B V1 Explanatory
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LISA 7B 16.5K | 4K / 16.1 GB | 6 | 0 |
| LaSagnA 7B | 2K / 16.1 GB | 9 | 0 |
| LISA 7B V1 | 2K / 16.1 GB | 653 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than xinlai/LISA-7B-v1-explanatory .
Rank the LISA 7B V1 Explanatory Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227