Mixtral 8xtiny Random 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)
Mixtral 8xtiny Random Parameters and Internals
| LLM Name | Mixtral 8xtiny Random |
| Repository 🤗 | https://huggingface.co/yujiepan/mixtral-8xtiny-random |
| Model Size | 524.8k |
| Required VRAM | 0 GB |
| Updated | 2024-09-08 |
| Maintainer | yujiepan |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Rank the Mixtral 8xtiny Random Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803