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BeyondInfinity V2 4x7B by R136a1

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BeyondInfinity V2 4x7B is an open-source language model by R136a1. Features: 24.2b LLM, VRAM: 48.4GB, Context: 32K, License: apache-2.0, MoE, LLM Explorer Score: 0.13.

  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: 0.12625
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)
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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
Updated2026-05-03
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 AWQ1313 GB

Best Alternatives to BeyondInfinity V2 4x7B

Best Alternatives
Context / RAM
Downloads
Likes
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
CognitiveFusion2 4x7B BF1632K / 48.3 GB82453
Proto Athena 4x7B32K / 48.4 GB70
Proto Athena V0.2 4x7B32K / 48.4 GB70
Note: green Score (e.g. "73.2") means that the model is better than R136a1/BeyondInfinity-v2-4x7B.

Rank the BeyondInfinity V2 4x7B 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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