Model Card on HF 🤗: https://huggingface.co/Deathsquad10/Tinyllama2.0-test5
Tinyllama2.0 Test5 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)
Tinyllama2.0 Test5 Parameters and Internals
| LLM Name | Tinyllama2.0 Test5 |
| Repository 🤗 | https://huggingface.co/Deathsquad10/Tinyllama2.0-test5 |
| Model Size | 1.5b |
| Required VRAM | 6 GB |
| Updated | 2025-02-05 |
| Maintainer | Deathsquad10 |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float32 |
Best Alternatives to Tinyllama2.0 Test5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi Coder 1.5B Chat | 128K / 3 GB | 428 | 31 |
| CursorCore Yi 1.5B | 128K / 3 GB | 164 | 1 |
| CursorCore Yi 1.5B SR | 128K / 3 GB | 121 | 0 |
| CursorCore Yi 1.5B LC | 128K / 3 GB | 125 | 0 |
| Yi Coder 1.5B | 128K / 3 GB | 228 | 15 |
| TinyLlama3 EmptyModel | 32K / 6 GB | 7 | 0 |
| TinyLlaMa3 DifferentTest | 32K / 6 GB | 7 | 0 |
| OpenCoder 1.5B Base | 4K / 3.8 GB | 5523 | 20 |
| OpenCoder 1.5B Instruct | 4K / 3.8 GB | 3005 | 37 |
| MobileLLM 1.5B | 4K / 3.1 GB | 275 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than Deathsquad10/Tinyllama2.0-test5 .
Rank the Tinyllama2.0 Test5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227