What are the hardware requirements for Llama Finetuned31?

Llama Finetuned31 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 Llama Finetuned31 and how large is it?

Llama Finetuned31 is developed by waihongteh, 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 Llama Finetuned31?

Llama Finetuned31 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama Finetuned31 by waihongteh — VRAM 13.5GB, 4K context

Name: Llama Finetuned31
Author: waihongteh

Llama Finetuned31 is an open-source language model by waihongteh. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2.

Base model:finetune:meta-llama... Base model:meta-llama/llama-2-... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/waihongteh/llama-finetuned31

Llama Finetuned31 Parameters and Internals

LLM Name	Llama Finetuned31
Repository 🤗	https://huggingface.co/waihongteh/llama-finetuned31
Base Model(s)	Llama 2 7B Chat Hf meta-llama/Llama-2-7b-chat-hf
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-10-17
Maintainer	waihongteh
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llama Finetuned31 capabilities

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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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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
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Note: green Score (e.g. "73.2") means that the model is better than waihongteh/llama-finetuned31.