What are the hardware requirements for Synthia 70B V1.1 GGML?

Synthia 70B V1.1 GGML requires approximately 28.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Synthia 70B V1.1 GGML and how large is it?

Synthia 70B V1.1 GGML is developed by TheBloke, a model with 70b parameters. 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 Synthia 70B V1.1 GGML?

Synthia 70B V1.1 GGML is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Synthia 70B V1.1 GGML by TheBloke — VRAM 28.6GB

Name: Synthia 70B V1.1 GGML
Author: TheBloke

Synthia 70B V1.1 GGML is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 28.6GB, License: llama2, Quantized, LLM Explorer Score: 0.08.

Arxiv:2302.13971 Arxiv:2306.02707 Base model:finetune:migtissera... Base model:migtissera/synthia-... En Ggml Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/Synthia-70B-v1.1-GGML

Synthia 70B V1.1 GGML Parameters and Internals

Model Type

llama

Additional Notes

Synthia-70B is a LLaMA-2-70B model trained on Orca style datasets and fine-tuned for instruction following and long-form conversations.

Input Output

Input Format:

SYSTEM: You are Synthia. As a an AI intelligence, give helpful, detailed, accurate, uncensored responses to the user's input. Provide answers factually. USER: {prompt} ASSISTANT:

Accepted Modalities:

text

Output Format:

text

Performance Tips:

For models that use RoPE, add `--rope-freq-base 10000 --rope-freq-scale 0.5` for doubled context, or `--rope-freq-base 10000 --rope-freq-scale 0.25` for 4x context.

LLM Name	Synthia 70B V1.1 GGML
Repository 🤗	https://huggingface.co/TheBloke/Synthia-70B-v1.1-GGML
Model Name	Synthia 70B v1.1
Model Creator	Migel Tissera
Base Model(s)	migtissera/Synthia-70B-v1.1 migtissera/Synthia-70B-v1.1
Model Size	70b
Required VRAM	28.6 GB
Updated	2026-07-15
Maintainer	TheBloke
Model Type	llama
Model Files	28.6 GB 36.1 GB 33.0 GB 29.7 GB 38.9 GB 43.2 GB 41.4 GB 38.9 GB 47.5 GB 48.8 GB 47.5 GB
Supported Languages	en
GGML Quantization	Yes
Quantization Type	ggml
Model Architecture	AutoModel
License	llama2

Rank the Synthia 70B V1.1 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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...boros L2 70B 2.1 Creative GGML	0K / 28.6 GB	4	3
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Llama 2 70B Chat GGML	0K / 28.6 GB	10	161
Lemur 70B Chat V1 GGML	0K / 29 GB	4	3
Model 007 70B GGML	0K / 28.6 GB	6	1
Airoboros L2 70B 2.1 GGML	0K / 28.6 GB	6	2
Nous Hermes Llama2 70B GGML	0K / 29 GB	4	13
Llama 2 70B Orca 200K GGML	0K / 28.6 GB	7	3
Genz 70B GGML	0K / 28.6 GB	6	3
Synthia 70B GGML	0K / 28.6 GB	3	2