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Replit Openorca GGML by TheBloke

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  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: 0.09949
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
Updated2025-08-23
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.

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Release v20241124
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