OpenELM 270M Instruct is an open-source language model by jeggers. Features: 270m LLM, VRAM: 1.1GB, Instruction-Based, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/jeggers/OpenELM-270M-Instruct
OpenELM 270M Instruct 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 Parameters and Internals
| LLM Name | OpenELM 270M Instruct |
| Repository 🤗 | https://huggingface.co/jeggers/OpenELM-270M-Instruct |
| Model Size | 270m |
| Required VRAM | 1.1 GB |
| Updated | 2026-05-23 |
| Maintainer | jeggers |
| Model Type | openelm |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | OpenELMForCausalLM |
| Transformers Version | 4.40.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to OpenELM 270M Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenELM 270M Instruct | 0K / 0.5 GB | 3155 | 145 |
| ...enELM270M DPO FINAL PREFERENCE | 0K / 0.5 GB | 5 | 0 |
| M2 Oelm270m | 0K / 1.1 GB | 6 | 0 |
| ...M 270M Instruct With Tokenizer | 0K / 0.5 GB | 5 | 0 |
| Taiwan ELM 270M Instruct | 0K / 1.2 GB | 7 | 1 |
| Mlnp Project Base | 0K / 0.5 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jeggers/OpenELM-270M-Instruct .
Rank the OpenELM 270M Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a