What are the hardware requirements for Gemma 7B Sft Ultrachat?

Gemma 7B Sft Ultrachat requires approximately 17.1 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 7B Sft Ultrachat and how large is it?

Gemma 7B Sft Ultrachat is developed by AmberYifan, a model with 7b 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 7B Sft Ultrachat?

Gemma 7B Sft Ultrachat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 7B Sft Ultrachat by AmberYifan — VRAM 17.1GB, 8K context

Name: Gemma 7B Sft Ultrachat
Author: AmberYifan

Gemma 7B Sft Ultrachat is an open-source language model by AmberYifan. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, LLM Explorer Score: 0.16.

Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-7b Conversational Endpoints compatible Gemma Generated from trainer Region:us Safetensors Sft Sharded Tensorboard Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/AmberYifan/Gemma-7b-sft-ultrachat

Gemma 7B Sft Ultrachat Parameters and Internals

LLM Name	Gemma 7B Sft Ultrachat
Repository 🤗	https://huggingface.co/AmberYifan/Gemma-7b-sft-ultrachat
Model Name	Gemma-7b-sft-ultrachat
Base Model(s)	Gemma 7B google/gemma-7b
Model Size	7b
Required VRAM	17.1 GB
Updated	2025-09-22
Maintainer	AmberYifan
Model Type	gemma
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 2.1 GB: 4-of-4 0.0 GB
Model Architecture	GemmaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.46.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 7B Sft Ultrachat 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 Gemma 7B Sft Ultrachat

Best Alternatives	Context / RAM	Downloads	Likes
Kaggle Math Model Gemma V1	12K / 17.1 GB	5	0
Gemma 1.1 7B It	8K / 17.1 GB	19153	275
Gemma 1.1 7B It	8K / 17.1 GB	8	4
Gemma 7B It	8K / 17.1 GB	3944	10
Gemma 1.1 7B It	8K / 17 GB	22	2
...emma 7B It Legal Refugiados Es	8K / 34 GB	5	0
SeaLLM 7B V2.5	8K / 17.1 GB	8761	51
Zephyr 7B Gemma DPO Avg	8K / 17.1 GB	15	0
Zephyr 7B Gemma Rpo Avg	8K / 17.1 GB	7	0
... Codegemma 2 7B It Alpaca V1.3	8K / 17.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than AmberYifan/Gemma-7b-sft-ultrachat.