Model Card on HF 🤗: https://huggingface.co/BaptisteL/m3-best-model
M3 Best Model 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)
M3 Best Model Parameters and Internals
| LLM Name | M3 Best Model |
| Repository 🤗 | https://huggingface.co/BaptisteL/m3-best-model |
| Model Size | 271.5m |
| Required VRAM | 1.1 GB |
| Updated | 2025-02-22 |
| 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 M3 Best Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenELM Sft DPO | 0K / 1.1 GB | 143 | 0 |
| Mnlp Project M2 | 0K / 1.1 GB | 136 | 0 |
| OpenELM Instruct Fined Tuned | 0K / 1.1 GB | 16 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than BaptisteL/m3-best-model .
Rank the M3 Best Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227