Merged Model Autotrain compatible Base model:arliai/mistral-nemo... Base model:nbeerbower/lyra-gut... Base model:neversleep/lumimaid... Base model:v000000/nm-12b-lyri... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nohobby/ThisWontWork3
ThisWontWork3 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)
ThisWontWork3 Parameters and Internals
| Additional Notes |
|
| LLM Name | ThisWontWork3 |
| Repository 🤗 | https://huggingface.co/Nohobby/ThisWontWork3 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 12b |
| Required VRAM | 24.5 GB |
| Updated | 2024-09-15 |
| Maintainer | Nohobby |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 1024000 |
| Model Max Length | 1024000 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Best Alternatives to ThisWontWork3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Captain Eris Violet V0.420 12B | 1000K / 24.5 GB | 185259 | 43 |
| ...s PersonalityEngine V1.1.0 12B | 1000K / 24.5 GB | 1139 | 39 |
| ...r Nemo 12B Instruct R 21 09 24 | 1000K / 24.5 GB | 4269 | 119 |
| Captain Eris BMO Violent 12B | 1000K / 24.5 GB | 305 | 2 |
| Dans SakuraKaze V1.0.0 12B | 1000K / 24.5 GB | 91 | 19 |
| Violet Magcap 12B | 1000K / 24.5 GB | 699 | 23 |
| MN 12B Mag Mell R1 | 1000K / 24.5 GB | 2251 | 164 |
| ...n Eris BMO Violent GRPO V0.420 | 1000K / 24.5 GB | 92 | 3 |
| Mistral Nemo Kartoffel 12B | 1000K / 24.5 GB | 75 | 6 |
| Dolphin 2.9.3 Mistral Nemo 12B | 1000K / 24.5 GB | 4047 | 99 |
Note: green Score (e.g. "73.2") means that the model is better than Nohobby/ThisWontWork3 .
Rank the ThisWontWork3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227