Merged Model Arxiv:2311.03099 Autotrain compatible Base model:rityak/magnum-darel... Base model:rityak/vikhr-nemo-d... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/rityak/NM-Vikhr-Magnum-dare-12B
NM Vikhr Magnum Dare 12B 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)
NM Vikhr Magnum Dare 12B Parameters and Internals
| LLM Name | NM Vikhr Magnum Dare 12B |
| Repository 🤗 | https://huggingface.co/rityak/NM-Vikhr-Magnum-dare-12B |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 12b |
| Required VRAM | 24.5 GB |
| Updated | 2025-02-16 |
| Maintainer | rityak |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Best Alternatives to NM Vikhr Magnum Dare 12B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...r Nemo 12B Instruct R 21 09 24 | 1000K / 24.5 GB | 22887 | 119 |
| Francois PE V2 Huali 12B | 1000K / 24.5 GB | 149 | 10 |
| SauerkrautLM Nemo 12B Instruct | 1000K / 24.5 GB | 3389 | 22 |
| Mistral Nemo Wissenschaft 12B | 1000K / 24.5 GB | 1092 | 8 |
| MN Slush | 1000K / 24.5 GB | 53 | 26 |
| Magnum V4 12B | 1000K / 24.5 GB | 234 | 42 |
| ChatWaifu V1.4 | 1000K / 24.5 GB | 118 | 19 |
| Golden Curry 12B | 1000K / 24.5 GB | 111 | 4 |
| ChatWaifu 12B V2.0 | 1000K / 24.5 GB | 47 | 20 |
| Mistral Nemo Bophades 12B | 1000K / 24.5 GB | 80 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than rityak/NM-Vikhr-Magnum-dare-12B .
Rank the NM Vikhr Magnum Dare 12B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227