What are the hardware requirements for Gemma 2 27B It SimPO 37K 100steps?

Gemma 2 27B It SimPO 37K 100steps requires approximately 54.7 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 Gemma 2 27B It SimPO 37K 100steps and how large is it?

Gemma 2 27B It SimPO 37K 100steps is developed by AALF, a model with 27b 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 Gemma 2 27B It SimPO 37K 100steps?

Gemma 2 27B It SimPO 37K 100steps is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 27B It SimPO 37K 100steps by AALF — VRAM 54.7GB, 8K context

Name: Gemma 2 27B It SimPO 37K 100steps
Author: AALF

Gemma 2 27B It SimPO 37K 100steps is an open-source language model by AALF. Features: 27b LLM, VRAM: 54.7GB, Context: 8K, License: gemma, LLM Explorer Score: 0.17.

Arxiv:2310.01377 Arxiv:2405.14734 Alignment-handbook Base model:finetune:google/gem... Base model:google/gemma-2-27b-... Conversational Deploy:azure Endpoints compatible Gemma2 Generated from trainer Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/AALF/gemma-2-27b-it-SimPO-37K-100steps

Gemma 2 27B It SimPO 37K 100steps Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

HuggingFaceH4/ultrafeedback_binarized

Data Volume:

37,040 training data points

Methodology:

SimPO framework with On-Policy Preference Data Generation

Context Length:

2048

Hardware Used:

8x80G A800 GPUs

Input Output

Input Format:

Prompts with max length of 1800

Accepted Modalities:

text

Output Format:

Text

LLM Name	Gemma 2 27B It SimPO 37K 100steps
Repository 🤗	https://huggingface.co/AALF/gemma-2-27b-it-SimPO-37K-100steps
Base Model(s)	Gemma 2 27B It google/gemma-2-27b-it
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-08-24
Maintainer	AALF
Model Type	gemma2
Model Files	4.7 GB: 1-of-12 4.9 GB: 2-of-12 4.9 GB: 3-of-12 5.0 GB: 4-of-12 4.9 GB: 5-of-12 4.9 GB: 6-of-12 5.0 GB: 7-of-12 4.9 GB: 8-of-12 4.9 GB: 9-of-12 5.0 GB: 10-of-12 4.9 GB: 11-of-12 0.7 GB: 12-of-12
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 27B It SimPO 37K 100steps 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

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ATOMIS	32K / 66 GB	7	8
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Note: green Score (e.g. "73.2") means that the model is better than AALF/gemma-2-27b-it-SimPO-37K-100steps.