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NeuralPipe 9B Merged by mlabonne

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NeuralPipe 9B Merged is an open-source language model by mlabonne. Features: 9b LLM, VRAM: 17.9GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

  Autotrain compatible   Conversational   Endpoints compatible   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/NeuralPipe-9B-merged 

NeuralPipe 9B Merged Benchmarks

LLME Score: 0.12092
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralPipe 9B Merged (mlabonne/NeuralPipe-9B-merged)
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NeuralPipe 9B Merged Parameters and Internals

Additional Notes 
This model was created by merging multiple models using mergekit.
LLM NameNeuralPipe 9B Merged
Repository 🤗https://huggingface.co/mlabonne/NeuralPipe-9B-merged 
Model Size9b
Required VRAM17.9 GB
Updated2025-11-14
Maintainermlabonne
Model Typemistral
Model Files  9.9 GB: 1-of-2   8.0 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the NeuralPipe 9B Merged

Model
Likes
Downloads
VRAM
NeuralPipe 9B Merged GGUF21383 GB

Best Alternatives to NeuralPipe 9B Merged

Best Alternatives
Context / RAM
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Peagle 9B32K / 18 GB128140
Peagle 9B32K / 18 GB124370
MetaMath Mistral Pro32K / 17.9 GB55
...onarch Neurotic 9B Passthrough32K / 17.9 GB80
GML Mistral Merged V132K / 18 GB7211
Mistral 9B Instruct32K / 35.9 GB70
Garbage 9B32K / 17.9 GB933
Bepis 9B32K / 18 GB256
Mistral 9B Instruct V0.232K / 17.9 GB53
Notus TheTop 7B Passthrough32K / 18 GB50
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/NeuralPipe-9B-merged.

Rank the NeuralPipe 9B Merged 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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