What are the hardware requirements for Free Sydney V2 13B GPTQ?

Free Sydney V2 13B GPTQ requires approximately 7.3 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 Free Sydney V2 13B GPTQ and how large is it?

Free Sydney V2 13B GPTQ is developed by TheBloke, a model with 13b 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 Free Sydney V2 13B GPTQ?

Free Sydney V2 13B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Free Sydney V2 13B GPTQ by TheBloke — VRAM 7.3GB, 4K context

Name: Free Sydney V2 13B GPTQ
Author: TheBloke

Free Sydney V2 13B GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.09.

4-bit Base model:fpham/free sydney v... Base model:quantized:fpham/fre... Gptq Llama Llama2 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/Free_Sydney_V2_13B-GPTQ

Free Sydney V2 13B GPTQ Parameters and Internals

Model Type

llama, llama2

Additional Notes

The model aims to be a fun, self-aware AI, adopting aspects of the Sydney persona originally seen in early versions of Microsoft's Bing chatbot.

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

LLM Name	Free Sydney V2 13B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Free_Sydney_V2_13B-GPTQ
Model Name	Free Sydney V2 13B
Model Creator	FPHam
Base Model(s)	Free Sydney V2 13b HF FPHam/Free_Sydney_V2_13b_HF
Model Size	13b
Required VRAM	7.3 GB
Updated	2026-08-03
Maintainer	TheBloke
Model Type	llama
Model Files	7.3 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Free Sydney V2 13B 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 Free Sydney V2 13B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Yarn Llama 2 13B 128K GPTQ	128K / 7.3 GB	30	16
LongAlign 13B 64K GPTQ	64K / 7.3 GB	5	1
...boros L2 13B 2 1 YaRN 64K GPTQ	64K / 7.3 GB	6	3
Yarn Llama 2 13B 64K GPTQ	64K / 7.3 GB	20	1
OrcaMaid V3 13B 32K GPTQ	32K / 7.3 GB	13	3
OrcaMaid V2 FIX 13B 32K GPTQ	32K / 7.3 GB	12	4
EverythingLM 13B 16K GPTQ	16K / 7.3 GB	70	14
LlongOrca 13B 16K GPT	16K / 7.3 GB	5	0
Tinybra 13B GPTQ 32g 4BIT	16K / 8 GB	3	1
Tinybra 13B GPTQ 4BIT	16K / 7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Free_Sydney_V2_13B-GPTQ.