Model Card on HF 🤗: https://huggingface.co/GStoynev/lab-2
Lab 2 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)
Lab 2 Parameters and Internals
| LLM Name | Lab 2 |
| Repository 🤗 | https://huggingface.co/GStoynev/lab-2 |
| Model Size | 84.5m |
| Required VRAM | 0.3 GB |
| Updated | 2025-07-13 |
| Maintainer | GStoynev |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 512 |
| Model Max Length | 512 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Lab 2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral Pretrained Test | 128K / 0.3 GB | 9 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 16 | 0 |
| Mistral Supervised | 0.5K / 0.3 GB | 13 | 0 |
| Mistral Pre Trained Model | 0.5K / 0.3 GB | 5 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 8 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 7 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 7 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 7 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 5 | 0 |
| Mistral Pretraining | 0.5K / 0.3 GB | 19 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than GStoynev/lab-2 .
Rank the Lab 2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124