OpenELM 450M Instruct Databaes SFT DPO is an open-source language model by tugbatumer. Features: 450m LLM, VRAM: 0.9GB, Instruction-Based, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/tugbatumer/OpenELM-450M-Instruct-databaes-SFT-DPO
OpenELM 450M Instruct Databaes SFT DPO 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 450M Instruct Databaes SFT DPO Parameters and Internals
| LLM Name | OpenELM 450M Instruct Databaes SFT DPO |
| Repository 🤗 | https://huggingface.co/tugbatumer/OpenELM-450M-Instruct-databaes-SFT-DPO |
| Model Size | 450m |
| Required VRAM | 0.9 GB |
| Updated | 2026-01-09 |
| Maintainer | tugbatumer |
| Model Type | openelm |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | OpenELMForCausalLM |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to OpenELM 450M Instruct Databaes SFT DPO
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenELM 450M Instruct | 0K / 0.9 GB | 1075 | 51 |
| ...Databaes SFT DPO 4bitquantized | 0K / 0.3 GB | 9 | 0 |
| DPO Reference Model | 0K / 1.8 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than tugbatumer/OpenELM-450M-Instruct-databaes-SFT-DPO .
Rank the OpenELM 450M Instruct Databaes SFT DPO Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a