What are the hardware requirements for Synthia 70B GPTQ?

Synthia 70B GPTQ requires approximately 35.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Synthia 70B GPTQ and how large is it?

Synthia 70B GPTQ 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 GPTQ?

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

Synthia 70B GPTQ by TheBloke — VRAM 35.3GB, 2K context

Name: Synthia 70B GPTQ
Author: TheBloke

Synthia 70B GPTQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 35.3GB, Context: 2K, License: llama2, Quantized, LLM Explorer Score: 0.08.

Arxiv:2302.13971 Arxiv:2306.02707 4-bit Base model:migtissera/synthia-... Base model:quantized:migtisser... En Fp16 Gptq Llama Quantized Region:us Safetensors

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

Synthia 70B GPTQ Parameters and Internals

Model Type

llama

Additional Notes

Synthia-70B, also known as Synthetic Intelligent Agent, is a LLama-2-70B model trained on Orca style datasets. It has been fine-tuned for instruction following as well as having long-form conversations.

LLM Name	Synthia 70B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Synthia-70B-GPTQ
Model Name	Synthia 70B
Model Creator	Migel Tissera
Base Model(s)	Synthia 70B migtissera/Synthia-70B
Model Size	70b
Required VRAM	35.3 GB
Updated	2026-07-25
Maintainer	TheBloke
Model Type	llama
Model Files	35.3 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	fp16\|gptq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	2048
Model Max Length	2048
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Synthia 70B GPTQ 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 Synthia 70B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	517	6
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	129	0
...ama 3.1 70B Instruct Gptq 4bit	128K / 39.9 GB	7	4
Opus V1.2 70B Marlin	32K / 36.4 GB	8	0
MoMo 70B Lora 1.8.4 DPO GPTQ	32K / 41.3 GB	5	1
MoMo 70B Lora 1.8.6 DPO GPTQ	32K / 41.3 GB	4	1
Tess 70B V1.6 Marlin	31K / 36.3 GB	7	1
Midnight Miqu 70B V1.5 GPTQ32G	31K / 40.7 GB	43	4
...Midnight Miqu 70B V1.0 GPTQ32G	31K / 40.7 GB	8	2
Senku 70B GPTQ 4bit	31K / 36.7 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Synthia-70B-GPTQ.