Model Card on HF 🤗: https://huggingface.co/BaptisteL/m2-dpo-oelm270m-fd
M2 DPO Oelm270m Fd 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)
M2 DPO Oelm270m Fd Parameters and Internals
| LLM Name | M2 DPO Oelm270m Fd |
| Repository 🤗 | https://huggingface.co/BaptisteL/m2-dpo-oelm270m-fd |
| Model Size | 270m |
| Required VRAM | 1.1 GB |
| Updated | 2025-06-01 |
| Maintainer | BaptisteL |
| Model Type | openelm |
| Model Files | |
| Model Architecture | OpenELMForCausalLM |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to M2 DPO Oelm270m Fd
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenELM 270M | 0K / 1.1 GB | 6024 | 75 |
| 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 |
| ...M 270M Instruct With Tokenizer | 0K / 0.5 GB | 18 | 0 |
| Oelm DPO 270m Fd | 0K / 2.2 GB | 18 | 0 |
| DPO OpenELM 270M V1 | 0K / 0 GB | 12 | 0 |
| OpenELM 270M With Tokenizer | 0K / 1.1 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than BaptisteL/m2-dpo-oelm270m-fd .
Rank the M2 DPO Oelm270m Fd Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227