Model Card on HF 🤗: https://huggingface.co/HuggingFaceM4/tiny-random-MistralForCausalLM
Tiny Random MistralForCausalLM 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)
Tiny Random MistralForCausalLM Parameters and Internals
| LLM Name | Tiny Random MistralForCausalLM |
| Repository 🤗 | https://huggingface.co/HuggingFaceM4/tiny-random-MistralForCausalLM |
| Required VRAM | 0 GB |
| Updated | 2025-07-25 |
| Maintainer | HuggingFaceM4 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
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| Tess XS V1.3 Yarn 128K | 32K / 14.5 GB | 3844 | 13 |
Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceM4/tiny-random-MistralForCausalLM .
Rank the Tiny Random MistralForCausalLM Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124