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GritLM 8x7B GGUF by MaziyarPanahi

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GritLM 8x7B GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 17.3GB, MoE, Quantized, LLM Explorer Score: 0.12.

  Arxiv:2402.09906   2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible   Base model:gritlm/gritlm-8x7b Base model:quantized:gritlm/gr...   Conversational   Custom code   Dataset:gritlm/tulu2   Endpoints compatible   Gguf   Mistral   Mixtral   Model-index   Moe   Mteb   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/GritLM-8x7B-GGUF 

GritLM 8x7B GGUF Benchmarks

LLME Score: 0.12489
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GritLM 8x7B GGUF (MaziyarPanahi/GritLM-8x7B-GGUF)
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GritLM 8x7B GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Quantized by MaziyarPanahi; supports GGUF format.
LLM NameGritLM 8x7B GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/GritLM-8x7B-GGUF 
Model NameGritLM-8x7B-GGUF
Model CreatorGritLM
Base Model(s)  GritLM 8x7B   GritLM/GritLM-8x7B
Required VRAM17.3 GB
Updated2026-05-28
MaintainerMaziyarPanahi
Model Typemistral
Model Files  17.3 GB   24.2 GB   22.5 GB   20.4 GB   28.4 GB   26.7 GB   33.2 GB   32.2 GB   38.4 GB   49.6 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/GritLM-8x7B-GGUF.

Rank the GritLM 8x7B 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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