Model Card on HF 🤗: https://huggingface.co/damienbenveniste/mistral-pretrained_test
Mistral Pretrained Test 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 Pretrained Test Parameters and Internals
| LLM Name | Mistral Pretrained Test |
| Repository 🤗 | https://huggingface.co/damienbenveniste/mistral-pretrained_test |
| Model Size | 84.5m |
| Required VRAM | 0.3 GB |
| Updated | 2025-09-23 |
| Maintainer | damienbenveniste |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.53.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mistral Pretrained Test
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral Pretraining | 0.5K / 0.3 GB | 6 | 0 |
| Mistral Supervised | 0.5K / 0.3 GB | 7 | 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 damienbenveniste/mistral-pretrained_test .
Rank the Mistral Pretrained Test Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124