Mixtral SlimOrca 8x7B GPTQ by TheBloke

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Mixtral SlimOrca 8x7B GPTQ is an open-source language model by TheBloke. Features: 6.1b LLM, VRAM: 23.8GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit   Autotrain compatible Base model:open-orca/mixtral-s... Base model:quantized:open-orca...   Dataset:open-orca/slimorca   Gptq   Mixtral   Moe   Quantized   Region:us   Safetensors

Mixtral SlimOrca 8x7B GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral SlimOrca 8x7B GPTQ (TheBloke/Mixtral-SlimOrca-8x7B-GPTQ)
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Mixtral SlimOrca 8x7B GPTQ Parameters and Internals

LLM NameMixtral SlimOrca 8x7B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Mixtral-SlimOrca-8x7B-GPTQ 
Model NameMixtral SlimOrca 8X7B
Model CreatorOpenOrca
Base Model(s)  Mixtral SlimOrca 8x7B   Open-Orca/Mixtral-SlimOrca-8x7B
Model Size6.1b
Required VRAM23.8 GB
Updated2025-10-11
MaintainerTheBloke
Model Typemixtral
Model Files  23.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Chupacabra 8x7B MoE GPTQ32K / 23.8 GB91
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-SlimOrca-8x7B-GPTQ.

Rank the Mixtral SlimOrca 8x7B GPTQ Capabilities

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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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Release v20260328a