MN RocinanteCelestar 12B is an open-source language model by rityak. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.15.
Merged Model Arxiv:2306.01708 Arxiv:2311.03099 Autotrain compatible Base model:nothingiisreal/mn-1... Base model:nothingiisreal/mn-1... Base model:thedrummer/rocinant... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/rityak/MN-RocinanteCelestar-12B
MN RocinanteCelestar 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)
MN RocinanteCelestar 12B Parameters and Internals
| Additional Notes |
|
| LLM Name | MN RocinanteCelestar 12B |
| Repository 🤗 | https://huggingface.co/rityak/MN-RocinanteCelestar-12B |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 12b |
| Required VRAM | 24.5 GB |
| Updated | 2025-02-16 |
| Maintainer | rityak |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 1024000 |
| Model Max Length | 1024000 |
| Transformers Version | 4.44.1 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Best Alternatives to MN RocinanteCelestar 12B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Celestial Queen 12B | 1000K / 24.5 GB | 305 | 8 |
| Celestial Queen 12B Heretic | 1000K / 24.5 GB | 33 | 3 |
| MN 12B Mag Mell R1 | 1000K / 24.5 GB | 1458 | 236 |
| Captain Eris Violet V0.420 12B | 1000K / 24.5 GB | 2003 | 54 |
| ...r Nemo 12B Instruct R 21 09 24 | 1000K / 24.5 GB | 2844 | 138 |
| ...s PersonalityEngine V1.1.0 12B | 1000K / 24.5 GB | 651 | 45 |
| Captain Eris BMO Violent 12B | 1000K / 24.5 GB | 305 | 2 |
| Dans SakuraKaze V1.0.0 12B | 1000K / 24.5 GB | 11 | 20 |
| Impish Nemo 12B | 1000K / 24.5 GB | 2078 | 70 |
| ...n Eris BMO Violent GRPO V0.420 | 1000K / 24.5 GB | 92 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than rityak/MN-RocinanteCelestar-12B .
Rank the MN RocinanteCelestar 12B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a