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Mixtralnt 4x7b Test GPTQ by TheBloke

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Mixtralnt 4x7b Test GPTQ is an open-source language model by TheBloke. Features: 24.2b LLM, VRAM: 12.5GB, Context: 32K, License: cc-by-nc-4.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:chargoddard/mixtral... Base model:quantized:chargodda...   Gptq   Mixtral   Moe   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/mixtralnt-4x7b-test-GPTQ 

Mixtralnt 4x7b Test GPTQ Benchmarks

LLME Score: 0.1058
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtralnt 4x7b Test GPTQ (TheBloke/mixtralnt-4x7b-test-GPTQ)
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Mixtralnt 4x7b Test GPTQ Parameters and Internals

Model Type 
mixtral
Input Output 
Input Format:
{prompt}
LLM NameMixtralnt 4x7b Test GPTQ
Repository 🤗https://huggingface.co/TheBloke/mixtralnt-4x7b-test-GPTQ 
Model NameMixtralnt 4X7B Test
Model CreatorCharles Goddard
Base Model(s)  Mixtralnt 4x7b Test   chargoddard/mixtralnt-4x7b-test
Model Size24.2b
Required VRAM12.5 GB
Updated2026-05-23
MaintainerTheBloke
Model Typemixtral
Model Files  12.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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MixtureofMerges MoE 4x7b V532K / 48.3 GB78111
MixtureofMerges MoE 4x7b V432K / 48.3 GB78894
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/mixtralnt-4x7b-test-GPTQ.

Rank the Mixtralnt 4x7b Test 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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