Mistral Supervised is an open-source language model by eperezj. Features: 84.5m LLM, VRAM: 0.3GB, Context: 0.5K, LLM Explorer Score: 0.21.
Autotrain compatible Base model:eperezj/mistral-pre... Base model:finetune:eperezj/mi... Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sft Trl
Model Card on HF 🤗: https://huggingface.co/eperezj/mistral-supervised
Mistral Supervised 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)
Mistral Supervised Parameters and Internals
| LLM Name | Mistral Supervised |
| Repository 🤗 | https://huggingface.co/eperezj/mistral-supervised |
| Model Name | mistral-supervised |
| Base Model(s) | |
| Model Size | 84.5m |
| Required VRAM | 0.3 GB |
| Updated | 2025-09-23 |
| Maintainer | eperezj |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.53.2 |
| Tokenizer Class | LlamaTokenizerFast |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mistral Supervised
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral Pretrained Test | 128K / 0.3 GB | 7 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 11 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 6 | 0 |
| Lab 2 | 0.5K / 0.3 GB | 6 | 0 |
| Mistral Pre Trained Model | 0.5K / 0.3 GB | 6 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 5 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 5 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 6 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 5 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than eperezj/mistral-supervised .
Rank the Mistral Supervised Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a