What are the hardware requirements for Llama2 7B Sft Ultrachat?

Llama2 7B Sft Ultrachat requires approximately 13.5 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 Llama2 7B Sft Ultrachat and how large is it?

Llama2 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 Llama2 7B Sft Ultrachat?

Llama2 7B Sft Ultrachat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama2 7B Sft Ultrachat by AmberYifan — VRAM 13.5GB, 4K context

Name: Llama2 7B Sft Ultrachat
Author: AmberYifan

Llama2 7B Sft Ultrachat is an open-source language model by AmberYifan. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, LLM Explorer Score: 0.15.

Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-2-... Conversational Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Sharded Tensorboard Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/AmberYifan/llama2-7b-sft-ultrachat

Llama2 7B Sft Ultrachat Parameters and Internals

LLM Name	Llama2 7B Sft Ultrachat
Repository 🤗	https://huggingface.co/AmberYifan/llama2-7b-sft-ultrachat
Model Name	llama2-7b-sft-ultrachat
Base Model(s)	Llama 2 7B Hf meta-llama/Llama-2-7b-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2025-08-28
Maintainer	AmberYifan
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llama2 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 Llama2 7B Sft Ultrachat

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than AmberYifan/llama2-7b-sft-ultrachat.