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BeyondInfinity V2 4x7B by R136a1

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  Autotrain compatible   En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/R136a1/BeyondInfinity-v2-4x7B 

BeyondInfinity V2 4x7B Benchmarks

LLME Score: 0.1745
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BeyondInfinity V2 4x7B (R136a1/BeyondInfinity-v2-4x7B)

BeyondInfinity V2 4x7B Parameters and Internals

Model Type 
safetensors
Use Cases 
Applications:
Role-Playing
Primary Use Cases:
RP scenarios
Additional Notes 
Model performs well in complex scenarios and adapts to character cards.
Training Details 
Methodology:
Mixtral approach instead of merging models
Context Length:
8192
Input Output 
Input Format:
Alpaca prompting format
Accepted Modalities:
text
LLM NameBeyondInfinity V2 4x7B
Repository 🤗https://huggingface.co/R136a1/BeyondInfinity-v2-4x7B 
Model Size24.2b
Required VRAM48.4 GB
Updated2025-03-27
MaintainerR136a1
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   9.9 GB: 3-of-5   10.0 GB: 4-of-5   8.6 GB: 5-of-5
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the BeyondInfinity V2 4x7B

Model
Likes
Downloads
VRAM
BeyondInfinity V2 4x7B AWQ1513 GB

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Note: green Score (e.g. "73.2") means that the model is better than R136a1/BeyondInfinity-v2-4x7B.

Rank the BeyondInfinity V2 4x7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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