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/chbenchi/mistral-pretraining |
| Model Size | 84.5m |
| Required VRAM | 0.3 GB |
| Updated | 2024-09-20 |
| Maintainer | chbenchi |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mistral Pretraining
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral Pretraining | 0.5K / 0.3 GB | 20 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 36 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 29 | 0 |
| Mistral Ppo | 0.5K / 0.3 GB | 15 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than chbenchi/mistral-pretraining .
Rank the Mistral Pretraining Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803