Model Card on HF 🤗: https://huggingface.co/fgasdrasdyxcvv/nlp
Nlp 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)
Nlp Parameters and Internals
| LLM Name | Nlp |
| Repository 🤗 | https://huggingface.co/fgasdrasdyxcvv/nlp |
| Model Size | 1b |
| Required VRAM | 2.2 GB |
| Updated | 2024-12-26 |
| Maintainer | fgasdrasdyxcvv |
| Model Type | openelm |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | OpenELMForCausalLM |
| Transformers Version | 4.40.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Nlp
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenELM 1 1B Instruct | 0K / 2.2 GB | 1375730 | 58 |
| Openelm1 1B CP ML ArXiv Papers | 0K / 2.2 GB | 68 | 0 |
| Nlp Final Model | 0K / 2.2 GB | 5 | 0 |
| Nlp Final Model | 0K / 2.2 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than fgasdrasdyxcvv/nlp .
Rank the Nlp Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227