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Replit Openorca GGML by TheBloke

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Replit Openorca GGML is an open-source language model by TheBloke. Features: LLM, VRAM: 1.5GB, Quantized, LLM Explorer Score: 0.08.

  Dataset:open-orca/openorca   Ggml   Quantized   Region:us   Replit
Model Card on HF 🤗: https://huggingface.co/TheBloke/replit-openorca-GGML 

Replit Openorca GGML Benchmarks

LLME Score: 0.08189
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Replit Openorca GGML (TheBloke/replit-openorca-GGML)
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Replit Openorca GGML Parameters and Internals

Model Type 
replit
Additional Notes 
The provided files are in Replit GGML format and not compatible with llama.cpp or related tools. They are compatible with KoboldCpp, LM Studio, LoLLMs-WebUI, ctransformers, rustformers' llm, and the ggml-replit binary.
Input Output 
Performance Tips:
Using GPU offloading can reduce RAM usage and increase performance.
Release Notes 
Version:
v1.3b
Notes:
Model finetuned on Open-Orca/OpenOrca. Available in multiple quantized formats for different use cases.
LLM NameReplit Openorca GGML
Repository 🤗https://huggingface.co/TheBloke/replit-openorca-GGML 
Required VRAM1.5 GB
Updated2026-05-26
MaintainerTheBloke
Model Typereplit
Model Files  1.5 GB   1.6 GB   1.8 GB   1.9 GB   2.8 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/replit-openorca-GGML.

Rank the Replit Openorca GGML 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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