Tiny Random MistralForCausalLM External Data is an open-source language model by Xenova. Features: LLM, Context: 0.5K, LLM Explorer Score: 0.13.
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 | 2026-05-05 |
| 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
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Krutrim 2 Instruct | 1000K / 49.3 GB | 258 | 36 |
| Ft V1 Violet | 1000K / 24.5 GB | 5 | 0 |
| Mistral Large Instruct 2407 | 128K / 226.7 GB | 7270 | 860 |
| Tiny Random MistralForCausalLM | 128K / 0 GB | 905 | 1 |
| Winterreise M7 | 32K / 14.4 GB | 0 | 0 |
| Frostwind V2.1 M7 | 32K / 14.4 GB | 0 | 0 |
| K2S3 V0.1 | 32K / 28.7 GB | 7 | 0 |
| MistralLite | 32K / 14.4 GB | 10607 | 434 |
| ...ydaz Web AI Reasoner BaseModel | 32K / 14.4 GB | 0 | 1 |
| MistralLite | 32K / 14.4 GB | 61777 | 430 |
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.
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Release v20260328a