OpenChat 3.5 0106 8.11B 36Layers Appended by Pretergeek

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OpenChat 3.5 0106 8.11B 36Layers Appended is an open-source language model by Pretergeek. Features: 8.11b LLM, VRAM: 16.2GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.21.

  Merged Model   Arxiv:2401.02415 Base model:finetune:openchat/o... Base model:openchat/openchat-3...   Conversational   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

OpenChat 3.5 0106 8.11B 36Layers Appended Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

OpenChat 3.5 0106 8.11B 36Layers Appended Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
This model is a frankenmerge using mergekit, employing a passthrough merge method influenced by Block Expansion.
Training Details 
Methodology:
The model employs a variation of the Block Expansion method.
Model Architecture:
Based on LLaMA Pro: Progressive LLaMA with Block Expansion, with new layers added to the end.
LLM NameOpenChat 3.5 0106 8.11B 36Layers Appended
Repository 🤗https://huggingface.co/Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended 
Base Model(s)  openchat/openchat-3.5-0106   openchat/openchat-3.5-0106
Merged ModelYes
Model Size8.11b
Required VRAM16.2 GB
Updated2026-05-23
MaintainerPretergeek
Model Typemistral
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.9 GB: 3-of-4   1.5 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

Best Alternatives to OpenChat 3.5 0106 8.11B 36Layers Appended

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Context / RAM
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...106 8.11B 36Layers Interleaved8K / 16.2 GB122
...t 3.5 0106 8.11B 36Layers Last8K / 16.2 GB402
Note: green Score (e.g. "73.2") means that the model is better than Pretergeek/OpenChat-3.5-0106_8.11B_36Layers-Appended.

Rank the OpenChat 3.5 0106 8.11B 36Layers Appended 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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Release v20260328a