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NeuDist Ro 7B by flemmingmiguel

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NeuDist Ro 7B is an open-source language model by flemmingmiguel. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.12, Arc: 71.3, HellaSwag: 87.5, MMLU: 65.1, GSM8K: 71.

  Merged Model Argilla/distilabeled-marcoro14...   Conversational Dataset:argilla/distilabel-int... Dataset:mlabonne/chatml dpo pa...   Endpoints compatible   Mistral   Mlabonne/neuralmarcoro14-7b   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/flemmingmiguel/NeuDist-Ro-7B 

NeuDist Ro 7B Benchmarks

ARC: 71.25 vs 96.7 (so35)-26.3%
HellaSwag: 87.48 vs 95.3 (gpt4)-8.2%
MMLU: 65.13 vs 88.3 (so35)-26.2%
GSM8K: 70.96 vs 96.4 (so35)-26.4%
LLME Score: 0.12425
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuDist Ro 7B (flemmingmiguel/NeuDist-Ro-7B)
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NeuDist Ro 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Merging two DPOs of the same model using LazyMergekit.
Training Details 
Model Architecture:
LazyMergekit
LLM NameNeuDist Ro 7B
Repository 🤗https://huggingface.co/flemmingmiguel/NeuDist-Ro-7B 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2026-04-09
Maintainerflemmingmiguel
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than flemmingmiguel/NeuDist-Ro-7B.

Rank the NeuDist Ro 7B 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! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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