Model Card on HF 🤗: https://huggingface.co/dustinwloring1988/custom_mistral_model_no_train
Custom Mistral Model No Train 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)
Custom Mistral Model No Train Parameters and Internals
| LLM Name | Custom Mistral Model No Train |
| Repository 🤗 | https://huggingface.co/dustinwloring1988/custom_mistral_model_no_train |
| Model Size | 579.4m |
| Required VRAM | 2.3 GB |
| Updated | 2024-09-13 |
| Maintainer | dustinwloring1988 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.42.4 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | float32 |
Rank the Custom Mistral Model No Train Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227