What are the hardware requirements for 17718 Simpo 16 1?

17718 Simpo 16 1 requires approximately 5.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 17718 Simpo 16 1 and how large is it?

17718 Simpo 16 1 is developed by williamlcn, a model with 2.6b 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 17718 Simpo 16 1?

17718 Simpo 16 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

17718 Simpo 16 1 by williamlcn — VRAM 5.2GB, 8K context

Name: 17718 Simpo 16 1
Author: williamlcn

17718 Simpo 16 1 is an open-source language model by williamlcn. Features: 2.6b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:finetune:williamlcn... Base model:williamlcn/17718 sf... Conversational Cpo En Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/williamlcn/17718_simpo_16_1

17718 Simpo 16 1 Parameters and Internals

LLM Name	17718 Simpo 16 1
Repository 🤗	https://huggingface.co/williamlcn/17718_simpo_16_1
Base Model(s)	17718 Sft 16 williamlcn/17718_sft_16
Model Size	2.6b
Required VRAM	5.2 GB
Updated	2026-07-24
Maintainer	williamlcn
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 0.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the 17718 Simpo 16 1 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 17718 Simpo 16 1

Best Alternatives	Context / RAM	Downloads
Test	8K / 5.2 GB	13
SFT Peft	8K / 5.2 GB	12
SFT Fft	8K / 5.2 GB	8
Gemma 2 Full Dare Peft	8K / 10.5 GB	10
FFT Model Gemma	8K / 5.2 GB	7
Vera V1.1 Instruct	8K / 5.2 GB	7
SAFETY FULL FT VECTOR	8K / 10.5 GB	11
SAFETY PEFT VECTOR	8K / 10.5 GB	7
RESTA Sft Dare Full Ft	8K / 10.5 GB	5
Gemma2 DARE Sft Peft	8K / 10.5 GB	13

Note: green Score (e.g. "73.2") means that the model is better than williamlcn/17718_simpo_16_1.