Mistral Pretraining is an open-source language model by Mithilhf01. Features: 117.6m LLM, VRAM: 0.5GB, Context: 0.5K, LLM Explorer Score: 0.17.
Dataset:wikipedia Endpoints compatible Generated from trainer Mistral Region:us Safetensors Tensorboard
Model Card on HF 🤗: https://huggingface.co/Mithilhf01/mistral-pretraining
Mistral Pretraining 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 Pretraining Parameters and Internals
| LLM Name | Mistral Pretraining |
| Repository 🤗 | https://huggingface.co/Mithilhf01/mistral-pretraining |
| Model Size | 117.6m |
| Required VRAM | 0.5 GB |
| Updated | 2026-05-06 |
| Maintainer | Mithilhf01 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Rank the Mistral Pretraining Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a