Autotrain compatible Custom code Dataset:ninglab/ecinstruct Endpoints compatible Phi Region:us Safetensors Sharded Tensorflow
ECeLLM S 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)
ECeLLM S Parameters and Internals
| LLM Name | ECeLLM S |
| Repository 🤗 | https://huggingface.co/NingLab/eCeLLM-S |
| Model Size | 2.8b |
| Required VRAM | 5.6 GB |
| Updated | 2024-10-22 |
| Maintainer | NingLab |
| Model Type | phi |
| Model Files | |
| Model Architecture | PhiForCausalLM |
| License | cc-by-4.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.0.dev0 |
| Tokenizer Class | CodeGenTokenizer |
| Vocabulary Size | 51200 |
| Torch Data Type | float16 |
Best Alternatives to ECeLLM S
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MFANN3bv0.21 | 32K / 11.1 GB | 12 | 0 |
| MFANN3bv0.19 | 32K / 11.1 GB | 18 | 0 |
| MFANN3bv0.20.16 | 32K / 5.6 GB | 398 | 0 |
| MFANN3bv0.18 | 32K / 11.1 GB | 5 | 0 |
| MFANN3bv0.15 | 32K / 11.1 GB | 5 | 0 |
| MFANN3bv0.19.12 | 32K / 5.6 GB | 319 | 0 |
| MFANN3bv0.20.17 | 32K / 11.1 GB | 5 | 0 |
| MFANN3bv0.20.11 | 32K / 11.1 GB | 7 | 0 |
| MFANN3bv0.20 | 32K / 11.1 GB | 7 | 0 |
| MFANN3bv0.19.11 | 32K / 11.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than NingLab/eCeLLM-S .
Rank the ECeLLM S Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803