NeuralMarioMonarch 7B Slerp is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 76.1, LLM Explorer Score: 0.13, Arc: 73.8, HellaSwag: 89, MMLU: 64.6, TruthfulQA: 75, WinoGrande: 85, GSM8K: 69.2.
Merged Model Base model:mlabonne/monarch-7b Base model:vanillaovo/supermar... Endpoints compatible Mistral Mlabonne/monarch-7b Model-index Region:us Safetensors Sharded Tensorflow Vanillaovo/supermario v4
Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuralMarioMonarch-7B-slerp
NeuralMarioMonarch 7B Slerp Benchmarks
ARC: 73.81 vs 96.7 (so35)-23.7%
HellaSwag: 89.04 vs 95.3 (gpt4)-6.6%
MMLU: 64.61 vs 88.3 (so35)-26.8%
TruthfulQA: 74.97 vs 59 (gpt4)27.1%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 69.22 vs 96.4 (so35)-28.2%
LLME Score: 0.12615
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)
NeuralMarioMonarch 7B Slerp Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | NeuralMarioMonarch 7B Slerp |
| Repository 🤗 | https://huggingface.co/Kukedlc/NeuralMarioMonarch-7B-slerp |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2026-04-02 |
| Maintainer | Kukedlc |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to NeuralMarioMonarch 7B Slerp
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 254 | 20 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 11443 | 54 |
| SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 14 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 18 | 1 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 3779 | 16 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 7968 | 16 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 1316 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 6 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuralMarioMonarch-7B-slerp .
Rank the NeuralMarioMonarch 7B Slerp Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 53185 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a