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Beyonder 4x7B V2 GPTQ by TheBloke

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Beyonder 4x7B V2 GPTQ is an open-source language model by TheBloke. Features: 24.2b LLM, VRAM: 12.5GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:mlabonne/beyonder-4... Base model:quantized:mlabonne/...   Gptq   Mixtral   Moe   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Beyonder-4x7B-v2-GPTQ 

Beyonder 4x7B V2 GPTQ Benchmarks

LLME Score: 0.10988
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Beyonder 4x7B V2 GPTQ (TheBloke/Beyonder-4x7B-v2-GPTQ)
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Beyonder 4x7B V2 GPTQ Parameters and Internals

LLM NameBeyonder 4x7B V2 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Beyonder-4x7B-v2-GPTQ 
Model NameBeyonder 4X7B v2
Model CreatorMaxime Labonne
Base Model(s)  Beyonder 4x7B V2   mlabonne/Beyonder-4x7B-v2
Model Size24.2b
Required VRAM12.5 GB
Updated2026-05-13
MaintainerTheBloke
Model Typemixtral
Model Files  12.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Everyone Coder 4x7b Base GPTQ32K / 12.5 GB24
...Fusion 4x7B Instruct V0.1 GPTQ32K / 12.5 GB152
Mixtralnt 4x7b Test GPTQ32K / 12.5 GB155
Dzakwan MoE 4x7b Beta32K / 48.4 GB90720
Beyonder 4x7B V332K / 48.3 GB826660
Calme 4x7B MoE V0.232K / 48.3 GB83742
Calme 4x7B MoE V0.132K / 48.3 GB82192
Mera Mix 4x7B32K / 48.3 GB831719
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/Beyonder-4x7B-v2-GPTQ.

Rank the Beyonder 4x7B V2 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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