MobileLLM 600M 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)
MobileLLM 600M Parameters and Internals
| LLM Name | MobileLLM 600M |
| Repository 🤗 | https://huggingface.co/facebook/MobileLLM-600M |
| Model Size | 600m |
| Required VRAM | 1.3 GB |
| Updated | 2024-11-06 |
| Maintainer | |
| Model Type | mobilellm |
| Model Files | |
| Model Architecture | MobileLLMForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Rank the MobileLLM 600M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803