What are the hardware requirements for Replit Openorca GGML?

Replit Openorca GGML requires approximately 1.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Replit Openorca GGML and how large is it?

Replit Openorca GGML is developed by TheBloke. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Replit Openorca GGML?

Replit Openorca GGML is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Replit Openorca GGML by TheBloke — VRAM 1.5GB

Name: Replit Openorca GGML
Author: TheBloke

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 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 Name	Replit Openorca GGML
Repository 🤗	https://huggingface.co/TheBloke/replit-openorca-GGML
Required VRAM	1.5 GB
Updated	2026-07-20
Maintainer	TheBloke
Model Type	replit
Model Files	1.5 GB 1.6 GB 1.8 GB 1.9 GB 2.8 GB
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel

Rank the Replit Openorca GGML capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Replit Openorca GGML

Best Alternatives	Context / RAM	Downloads	Likes
Athena V1 GGML	0K / 5.5 GB	6	1
MythoMax Kimiko Mix GGML	0K / 5.7 GB	3	3
...ax22b Instruct Falseblock GGML	0K / 9.2 GB	7	6
Octocoder GGML	0K / 10.7 GB	7	15
PULI GPT 3SX GGML	0K / 3.9 GB	7	5
NewHope GGML	0K / 5.7 GB	6	38
Spring Dragon GGML	0K / 5.5 GB	3	3
QCammel 13 GGML	0K / 5.5 GB	11	8
QCammel 70 X GGML	0K / 28.6 GB	10	3
OpenChat V3.2 GGML	0K / 5.7 GB	5	14

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