Model Card on HF 🤗: https://huggingface.co/Deathsquad10/TL3-Testing
TL3 Testing 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)
TL3 Testing Parameters and Internals
| LLM Name | TL3 Testing |
| Repository 🤗 | https://huggingface.co/Deathsquad10/TL3-Testing |
| Model Size | 1.5b |
| Required VRAM | 6 GB |
| Updated | 2024-09-06 |
| Maintainer | Deathsquad10 |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | float32 |
Best Alternatives to TL3 Testing
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi Coder 1.5B Chat | 128K / 3 GB | 752 | 32 |
| CursorCore Yi 1.5B | 128K / 3 GB | 289 | 1 |
| Yi Coder 1.5B | 128K / 3 GB | 817 | 16 |
| CursorCore Yi 1.5B SR | 128K / 3 GB | 175 | 0 |
| CursorCore Yi 1.5B LC | 128K / 3 GB | 165 | 0 |
| TinyLlama3 EmptyModel | 32K / 6 GB | 12 | 0 |
| TinyLlaMa3 DifferentTest | 32K / 6 GB | 7 | 0 |
| OpenCoder 1.5B Base | 4K / 3.8 GB | 14405 | 20 |
| OpenCoder 1.5B Instruct | 4K / 3.8 GB | 1994 | 37 |
| MobileLLM 1.5B | 4K / 3.1 GB | 649 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than Deathsquad10/TL3-Testing .
Rank the TL3 Testing Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227