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Marcoroni 7B V3 GPTQ by TheBloke

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Marcoroni 7B V3 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   Autotrain compatible   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Marcoroni-7B-v3-GPTQ 

Marcoroni 7B V3 GPTQ Benchmarks

LLME Score: 0.10861
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Marcoroni 7B V3 GPTQ (TheBloke/Marcoroni-7B-v3-GPTQ)
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Marcoroni 7B V3 GPTQ Parameters and Internals

Model Type 
auto-regressive language model, mistral
Additional Notes 
Quantized by TheBloke
Supported Languages 
languages_supported (English), proficiency_level (unknown)
Training Details 
Data Sources:
Open-Orca/SlimOrca, meta-math/MetaMathQA
Methodology:
Fine-tuned based on mistralai/Mistral-7B-v0.1. Alignment with DPO algorithm.
Model Architecture:
auto-regressive language model based on mistralai/Mistral-7B-v0.1
Input Output 
Input Format:
"### Instruction: {prompt} ### Response: "
Accepted Modalities:
text
Output Format:
N/A
LLM NameMarcoroni 7B V3 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Marcoroni-7B-v3-GPTQ 
Model NameMarcoroni 7B V3
Model CreatorAIDC-ai-business
Base Model(s)  AIDC-ai-business/Marcoroni-7B-v3   AIDC-ai-business/Marcoroni-7B-v3
Model Size7b
Required VRAM4.2 GB
Updated2025-09-28
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
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 TheBloke/Marcoroni-7B-v3-GPTQ.

Rank the Marcoroni 7B V3 GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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