EMO 1.5B 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)
EMO 1.5B Parameters and Internals
| LLM Name | EMO 1.5B |
| Repository 🤗 | https://huggingface.co/OEvortex/EMO-1.5B |
| Model Size | 1.5b |
| Required VRAM | 3.7 GB |
| Updated | 2024-09-07 |
| Maintainer | OEvortex |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 151646 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to EMO 1.5B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi Coder 1.5B Chat | 128K / 3 GB | 168 | 18 |
| Yi Coder 1.5B | 128K / 3 GB | 87 | 11 |
| TinyLlaMa3 DifferentTest | 32K / 6 GB | 7 | 0 |
| TinyLlama3 EmptyModel | 32K / 6 GB | 5 | 0 |
| Tinyllama2.0 Test0 | 32K / 6 GB | 5 | 0 |
| Tinyllama2.0 Test5 | 4K / 6 GB | 10 | 0 |
| SmolLlama 1.5B Sorted | 2K / 3.1 GB | 0 | 0 |
| SmolLlama 1.5B | 2K / 3.1 GB | 0 | 0 |
| SmolLlama 1.5B Bottomheavy | 2K / 3.1 GB | 0 | 0 |
| Smolphin Test Stack | 2K / 3.1 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than OEvortex/EMO-1.5B .
Rank the EMO 1.5B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803