Model Card on HF 🤗: https://huggingface.co/Xenova/tiny-random-MistralForCausalLM_external-data
Tiny Random MistralForCausalLM External Data 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 External Data Parameters and Internals
| LLM Name | Tiny Random MistralForCausalLM External Data |
| Repository 🤗 | https://huggingface.co/Xenova/tiny-random-MistralForCausalLM_external-data |
| Updated | 2025-06-01 |
| Maintainer | Xenova |
| Model Type | mistral |
| Model Architecture | MistralForCausalLM |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.41.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
Best Alternatives to Tiny Random MistralForCausalLM External Data
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| Krutrim 2 Instruct | 1000K / 49.3 GB | 1458 | 28 |
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| Tiny Random MistralForCausalLM | 128K / 0 GB | 6137 | 1 |
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| Frostwind V2.1 M7 | 32K / 14.4 GB | 0 | 0 |
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| Mixtral AI Cyber Child | 32K / 14.5 GB | 14 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Xenova/tiny-random-MistralForCausalLM_external-data .
Rank the Tiny Random MistralForCausalLM External Data Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227