Tiny Random Mistral is an open-source language model by distilabel-internal-testing. Features: 8.3m LLM, Context: 0.1K, License: mit, LLM Explorer Score: 0.13.
Model Card on HF 🤗: https://huggingface.co/distilabel-internal-testing/tiny-random-mistral
Tiny Random Mistral 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 Mistral Parameters and Internals
| LLM Name | Tiny Random Mistral |
| Repository 🤗 | https://huggingface.co/distilabel-internal-testing/tiny-random-mistral |
| Model Size | 8.3m |
| Required VRAM | 0 GB |
| Updated | 2026-04-06 |
| Maintainer | distilabel-internal-testing |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | mit |
| Context Length | 128 |
| Model Max Length | 128 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Rank the Tiny Random Mistral Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a