Model Card on HF 🤗: https://huggingface.co/MBZUAI/GLaMM-FullScope_v0
GLaMM FullScope V0 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)
GLaMM FullScope V0 Parameters and Internals
| Model Type |
|
| LLM Name | GLaMM FullScope V0 |
| Repository 🤗 | https://huggingface.co/MBZUAI/GLaMM-FullScope_v0 |
| Required VRAM | 16.7 GB |
| Updated | 2025-02-22 |
| Maintainer | MBZUAI |
| Model Type | llava |
| Model Files | |
| Model Architecture | LISAForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32009 |
| Torch Data Type | bfloat16 |
Best Alternatives to GLaMM FullScope V0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| GLaMM GranD Pretrained | 4K / 16.8 GB | 29443 | 3 |
| PARIS3D | 4K / 28.7 GB | 19 | 0 |
| BottleModel | 4K / 28.7 GB | 13 | 0 |
| FoodLMM Chat | 2K / 14.8 GB | 274 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than MBZUAI/GLaMM-FullScope_v0 .
Rank the GLaMM FullScope V0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227