Model Card on HF 🤗: https://huggingface.co/bruno3000/OpenELM-270M-Instruct-with-tokenizer
OpenELM 270M Instruct With Tokenizer 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)
OpenELM 270M Instruct With Tokenizer Parameters and Internals
| LLM Name | OpenELM 270M Instruct With Tokenizer |
| Repository 🤗 | https://huggingface.co/bruno3000/OpenELM-270M-Instruct-with-tokenizer |
| Model Size | 270m |
| Required VRAM | 0.5 GB |
| Updated | 2025-06-01 |
| Maintainer | bruno3000 |
| Model Type | openelm |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | OpenELMForCausalLM |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to OpenELM 270M Instruct With Tokenizer
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenELM 270M Instruct | 0K / 0.5 GB | 753 | 137 |
| OpenELM 270M Instruct | 0K / 1.1 GB | 14 | 0 |
| Taiwan ELM 270M Instruct | 0K / 1.2 GB | 108 | 0 |
| M2 Oelm270m | 0K / 1.1 GB | 21 | 0 |
| ...enELM270M DPO FINAL PREFERENCE | 0K / 0.5 GB | 13 | 0 |
| Mlnp Project Base | 0K / 0.5 GB | 21 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than bruno3000/OpenELM-270M-Instruct-with-tokenizer .
Rank the OpenELM 270M Instruct With Tokenizer Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227