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NeuralPipe 7B Slerp GPTQ by TheBloke

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NeuralPipe 7B Slerp GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:mlabonne/neuralpipe... Base model:quantized:mlabonne/...   Gptq   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/NeuralPipe-7B-slerp-GPTQ 

NeuralPipe 7B Slerp GPTQ Benchmarks

LLME Score: 0.11156
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralPipe 7B Slerp GPTQ (TheBloke/NeuralPipe-7B-slerp-GPTQ)
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NeuralPipe 7B Slerp GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
This model is a merge of other models using 'mergekit'.
Input Output 
Input Format:
{prompt}
LLM NameNeuralPipe 7B Slerp GPTQ
Repository 🤗https://huggingface.co/TheBloke/NeuralPipe-7B-slerp-GPTQ 
Model NameNeuralPipe 7B SLERP
Model CreatorMaxime Labonne
Base Model(s)  NeuralPipe 7B Slerp   mlabonne/NeuralPipe-7B-slerp
Model Size7b
Required VRAM4.2 GB
Updated2026-04-02
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
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 TheBloke/NeuralPipe-7B-slerp-GPTQ.

Rank the NeuralPipe 7B Slerp GPTQ Capabilities

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Instruction Following and Task Automation  
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