Merged Model Arxiv:2306.01708 Autotrain compatible Base model:anthracite-org/magn... Base model:gryphe/pantheon-rp-... Base model:nbeerbower/mistral-... Conversational Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Story-writing Tensorflow
Model Card on HF 🤗: https://huggingface.co/Triangle104/Pans_Gutenbergum_V0.1
Pans Gutenbergum V0.1 Benchmarks
MMLU Pro: 29.96
GPQA: 9.73
MUSR: 16.33
BBH: 36.08
IFEval: 30.97 vs 88 (so35)-64.8%
MATH Lvl 5: 10.57
LLME Score: 0.28975
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)
Pans Gutenbergum V0.1 Parameters and Internals
| LLM Name | Pans Gutenbergum V0.1 |
| Repository 🤗 | https://huggingface.co/Triangle104/Pans_Gutenbergum_V0.1 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 12b |
| Required VRAM | 24.5 GB |
| Updated | 2025-02-22 |
| Maintainer | Triangle104 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 1024000 |
| Model Max Length | 1024000 |
| Transformers Version | 4.45.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | float16 |
Best Alternatives to Pans Gutenbergum V0.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Captain Eris Violet V0.420 12B | 1000K / 24.5 GB | 368722 | 29 |
| ...r Nemo 12B Instruct R 21 09 24 | 1000K / 24.5 GB | 8787 | 111 |
| ...s PersonalityEngine V1.1.0 12B | 1000K / 24.5 GB | 557 | 32 |
| Mistral Nemo Kartoffel 12B | 1000K / 24.5 GB | 311 | 4 |
| MN 12B Mag Mell R1 | 1000K / 24.5 GB | 6336 | 115 |
| MN 12B Mimicore GreenSnake | 1000K / 24.5 GB | 168 | 2 |
| SauerkrautLM Nemo 12B Instruct | 1000K / 24.5 GB | 22721 | 22 |
| Saiga Nemo 12b | 1000K / 24.5 GB | 253322 | 39 |
| MN 12B Mimicore WhiteSnake | 1000K / 24.5 GB | 88 | 3 |
| Dolphin 2.9.3 Mistral Nemo 12B | 1000K / 24.5 GB | 7257 | 99 |
Note: green Score (e.g. "73.2") means that the model is better than Triangle104/Pans_Gutenbergum_V0.1 .
Rank the Pans Gutenbergum V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227