Model Card on HF 🤗: https://huggingface.co/tugbatumer/OpenELM-450M-Instruct-databaes-SFT-DPO-4bitquantized
OpenELM 450M Instruct Databaes SFT DPO 4bitquantized 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 4bitquantized Parameters and Internals
| LLM Name | OpenELM 450M Instruct Databaes SFT DPO 4bitquantized |
| Repository 🤗 | https://huggingface.co/tugbatumer/OpenELM-450M-Instruct-databaes-SFT-DPO-4bitquantized |
| Model Size | 450m |
| Required VRAM | 0.3 GB |
| Updated | 2025-06-01 |
| 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 | float16 |
Best Alternatives to OpenELM 450M Instruct Databaes SFT DPO 4bitquantized
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenELM 450M Instruct | 0K / 0.9 GB | 26710 | 47 |
| ...450M Instruct Databaes SFT DPO | 0K / 0.9 GB | 12 | 0 |
| DPO Reference Model | 0K / 1.8 GB | 14 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than tugbatumer/OpenELM-450M-Instruct-databaes-SFT-DPO-4bitquantized .
Rank the OpenELM 450M Instruct Databaes SFT DPO 4bitquantized Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227