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L3.1 RP Hero InBetween 8B by DavidAU

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L3.1 RP Hero InBetween 8B is an open-source language model by DavidAU. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.16.

  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Llama 3.1   Llama-3   Llama-3.1   Llama3   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DavidAU/L3.1-RP-Hero-InBetween-8B 

L3.1 RP Hero InBetween 8B Benchmarks

LLME Score: 0.16415
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3.1 RP Hero InBetween 8B (DavidAU/L3.1-RP-Hero-InBetween-8B)
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L3.1 RP Hero InBetween 8B Parameters and Internals

LLM NameL3.1 RP Hero InBetween 8B
Repository 🤗https://huggingface.co/DavidAU/L3.1-RP-Hero-InBetween-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
MaintainerDavidAU
Model Typellama
Instruction-BasedYes
Model Files  1.1 GB: 1-of-17   1.1 GB: 2-of-17   1.0 GB: 3-of-17   1.0 GB: 4-of-17   1.0 GB: 5-of-17   0.9 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   0.9 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   0.9 GB: 14-of-17   1.0 GB: 15-of-17   1.0 GB: 16-of-17   0.2 GB: 17-of-17
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128261
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/L3.1-RP-Hero-InBetween-8B.

Rank the L3.1 RP Hero InBetween 8B 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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