TinyLlaMa3 DifferentTest 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)
TinyLlaMa3 DifferentTest Parameters and Internals
| LLM Name | TinyLlaMa3 DifferentTest |
| Repository 🤗 | https://huggingface.co/Deathsquad10/TinyLlaMa3-DifferentTest |
| Model Size | 1.5b |
| Required VRAM | 6 GB |
| Updated | 2024-09-06 |
| Maintainer | Deathsquad10 |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float32 |
Best Alternatives to TinyLlaMa3 DifferentTest
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi Coder 1.5B Chat | 128K / 3 GB | 2023 | 28 |
| Yi Coder 1.5B | 128K / 3 GB | 594 | 12 |
| CursorCore Yi 1.5B | 128K / 3 GB | 24 | 1 |
| CursorCore Yi 1.5B SR | 128K / 3 GB | 18 | 0 |
| CursorCore Yi 1.5B LC | 128K / 3 GB | 19 | 0 |
| TinyLlama3 EmptyModel | 32K / 6 GB | 5 | 0 |
| Tinyllama2.0 Test0 | 4K / 6 GB | 361 | 0 |
| Tinyllama2.0 Test5 | 4K / 6 GB | 8 | 0 |
| EMO 1.5B | 4K / 3.7 GB | 21 | 2 |
| SmolLlama 1.5B Sorted | 2K / 3.1 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Deathsquad10/TinyLlaMa3-DifferentTest .
Rank the TinyLlaMa3 DifferentTest Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803