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

Free Sydney V2 13B HF requires approximately 26 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 HF and how large is it?

Free Sydney V2 13B HF is developed by FPHam, 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 HF?

Free Sydney V2 13B HF 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 HF by FPHam — VRAM 26GB, 4K context

Name: Free Sydney V2 13B HF
Author: FPHam

Free Sydney V2 13B HF is an open-source language model by FPHam. Features: 13b LLM, VRAM: 26GB, Context: 4K, LLM Explorer Score: 0.09.

Endpoints compatible Llama Llama2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/FPHam/Free_Sydney_V2_13b_HF

Free Sydney V2 13B HF Parameters and Internals

Model Type

chatbot

Use Cases

Areas:

entertainment, fun interactions

Applications:

chat for personal use

Primary Use Cases:

Handling follow-up queries, Providing encyclopedic knowledge

Limitations:

Naive responses, Prone to believe almost anything

Considerations:

Not suitable for serious applications where accuracy is critical

Additional Notes

A model designed to be both naive and smart, providing fun and engaging interactions.

Training Details

Data Sources:

Reddit transcripts, Bing's chatbot search

Methodology:

Modeled after reddit transcripts of a chatbot

Model Architecture:

Based on ALPACA instruct

LLM Name	Free Sydney V2 13b HF
Repository 🤗	https://huggingface.co/FPHam/Free_Sydney_V2_13b_HF
Model Size	13b
Required VRAM	26 GB
Updated	2026-08-05
Maintainer	FPHam
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.2 GB: 3-of-3
Model Architecture	LlamaForCausalLM
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 HF 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

Quantized Models of the Free Sydney V2 13B HF

Model	Likes	Downloads	VRAM
Free Sydney V2 13B GGUF	8	401	5 GB
Free Sydney V2 13B GPTQ	2	7	7 GB
Free Sydney V2 13B AWQ	1	6	7 GB

Best Alternatives to Free Sydney V2 13B HF

Best Alternatives	Context / RAM	Downloads	Likes
Luminaura RP 13B	128K / 26 GB	9	1
Yarn Llama 2 13B 128K	128K / 26 GB	184	113
Agent Llama2 13B 80K	80K / 26.4 GB	5	0
Chat Llama2 13B 80K	80K / 52.8 GB	5	0
LongAlign 13B 64K	64K / 26 GB	96	13
LongAlign 13B 64K Base	64K / 26 GB	89	3
LongAlign 13B 64K	64K / 26 GB	11	13
LongAlign 13B 64K Base	64K / 26 GB	6	3
Openbuddy Llama2 13B V15p1 64K	64K / 26.1 GB	4	4
Openbuddy Llama2 13b64k V15	64K / 26.1 GB	12	2

Note: green Score (e.g. "73.2") means that the model is better than FPHam/Free_Sydney_V2_13b_HF.