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MelloGPT Mistral 7B Instruct V0.1 GGUF by MaziyarPanahi

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MelloGPT Mistral 7B Instruct V0.1 GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 2.7GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  2-bit   3-bit   4-bit   5-bit   6-bit   7b   8-bit   Autotrain compatible Base model:maziyarpanahi/mello... Base model:quantized:maziyarpa...   Conversational Dataset:nbertagnolli/counsel-c...   Endpoints compatible   Gguf   Instruct   Merge   Mistral Mistralai/mistral-7b-instruct-...   Pytorch   Quantized   Region:us   Safetensors   Steve-cse/mellogpt
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/MelloGPT-Mistral-7B-Instruct-v0.1-GGUF 

MelloGPT Mistral 7B Instruct V0.1 GGUF Benchmarks

LLME Score: 0.11897
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MelloGPT Mistral 7B Instruct V0.1 GGUF (MaziyarPanahi/MelloGPT-Mistral-7B-Instruct-v0.1-GGUF)
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MelloGPT Mistral 7B Instruct V0.1 GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
It contains GGUF format model files and supports various quantization levels including 2-bit to 8-bit.
LLM NameMelloGPT Mistral 7B Instruct V0.1 GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/MelloGPT-Mistral-7B-Instruct-v0.1-GGUF 
Model NameMelloGPT-Mistral-7B-Instruct-v0.1-GGUF
Model CreatorMaziyarPanahi
Base Model(s)  MaziyarPanahi/MelloGPT-Mistral-7B-Instruct-v0.1   MaziyarPanahi/MelloGPT-Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM2.7 GB
Updated2026-03-29
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/MelloGPT-Mistral-7B-Instruct-v0.1-GGUF.

Rank the MelloGPT Mistral 7B Instruct V0.1 GGUF 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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