What are the hardware requirements for Synthia V3.0 11B GPTQ?

Synthia V3.0 11B GPTQ requires approximately 6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Synthia V3.0 11B GPTQ and how large is it?

Synthia V3.0 11B GPTQ is developed by TheBloke, a model with 11b 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 V3.0 11B GPTQ?

Synthia V3.0 11B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Synthia V3.0 11B GPTQ by TheBloke — VRAM 6GB, 4K context

Name: Synthia V3.0 11B GPTQ
Author: TheBloke

Synthia V3.0 11B GPTQ is an open-source language model by TheBloke. Features: 11b LLM, VRAM: 6GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:migtissera/synthia-... Base model:quantized:migtisser... Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Synthia-v3.0-11B-GPTQ

Synthia V3.0 11B GPTQ Parameters and Internals

Model Type

solar

Additional Notes

This model was trained to follow instruction and conduct long-form conversations using a Tree of Thoughts system message for improved reasoning.

Training Details

Data Sources:

Synthia-v3.0 dataset with Generarized Tree-of-Thought prompt

Data Volume:

~10K high-quality samples

Methodology:

Trained on the principles of LIMA (Less Is More for Alignment), fine-tuned for instruction following and long-form conversations

Model Architecture:

Synthetic Intelligent Agent (SynthIA)

Input Output

Input Format:

SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation. USER: {prompt} ASSISTANT:

LLM Name	Synthia V3.0 11B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Synthia-v3.0-11B-GPTQ
Model Name	Synthia V3.0 11B
Model Creator	Migel Tissera
Base Model(s)	migtissera/Synthia-v3.0-11B migtissera/Synthia-v3.0-11B
Model Size	11b
Required VRAM	6 GB
Updated	2026-08-04
Maintainer	TheBloke
Model Type	solar
Model Files	6.0 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Synthia V3.0 11B 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 V3.0 11B GPTQ

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KuroMitsu 11B GPTQ	8K / 6 GB	1	2
Fimbulvetr 11B V2 GPTQ	4K / 6.6 GB	16	6
... 11B V2.5 Instruct FP8 Dynamic	32K / 11.5 GB	33	2
...istral 11B Omni OPA U1k Ver0.7	32K / 21.4 GB	12	0
Mistral 11B OP U1k Ver0.7	32K / 21.4 GB	12	0
Mistral 11B Omni OP U1k Ver0.5	32K / 21.4 GB	19	0
...istral 11B V2 HQQ 4bit Smashed	8K / 6 GB	5	0
...mbulvetr 11B V2.8.0bpw H8 EXL2	4K / 10.9 GB	6	7
...mbulvetr 11B V2.6.0bpw H6 EXL2	4K / 8.2 GB	3	4
...mbulvetr 11B V2.3.0bpw H6 EXL2	4K / 4.3 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Synthia-v3.0-11B-GPTQ.