Model Card on HF 🤗: https://huggingface.co/Nitral-Archive/MMR-E1
MMR E1 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)
MMR E1 Parameters and Internals
| LLM Name | MMR E1 |
| Repository 🤗 | https://huggingface.co/Nitral-Archive/MMR-E1 |
| Model Size | 12.2b |
| Required VRAM | 24.5 GB |
| Updated | 2025-05-14 |
| Maintainer | Nitral-Archive |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 1024000 |
| Model Max Length | 1024000 |
| Transformers Version | 4.51.1 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | float16 |
Best Alternatives to MMR E1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...aptain Eris Violet GRPO V0.420 | 1000K / 24.5 GB | 379 | 21 |
| MMRExCEV GRPO V0.420 | 1000K / 24.5 GB | 215 | 2 |
| ...ish Mistral Nemo Instruct 2407 | 1000K / 24.5 GB | 77 | 2 |
| Goldenworking | 1000K / 24.5 GB | 19 | 0 |
| Violet Twilight V0.2 | 1000K / 24.5 GB | 120 | 32 |
| Mistral Nemo Kurdish | 1000K / 24.5 GB | 14 | 3 |
| Mergekit Nuslerp Sahgtwn | 1000K / 24.5 GB | 17 | 0 |
| Mergekit Nuslerp Fybnaus | 1000K / 24.5 GB | 16 | 0 |
| Mergekit Model Stock Lvezkfe | 1000K / 24.5 GB | 16 | 0 |
| Mergekit Slerp Fojmdcf | 1000K / 24.5 GB | 16 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Nitral-Archive/MMR-E1 .
Rank the MMR E1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227