What are the hardware requirements for Fine Tuning LLM?

Fine Tuning LLM requires approximately 6.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fine Tuning LLM and how large is it?

Fine Tuning LLM is developed by vampirehollie, a model with 3b 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 Fine Tuning LLM?

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

Fine Tuning LLM by vampirehollie — VRAM 6.5GB, 128K context

Name: Fine Tuning LLM
Author: vampirehollie

Fine Tuning LLM is an open-source language model by vampirehollie. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.27.

4bit Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/vampirehollie/Fine-Tuning-LLM

Fine Tuning LLM Parameters and Internals

LLM Name	Fine Tuning LLM
Repository 🤗	https://huggingface.co/vampirehollie/Fine-Tuning-LLM
Base Model(s)	unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-09-08
Maintainer	vampirehollie
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Fine Tuning LLM 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 Fine Tuning LLM

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...lama 3.2 3B Asr Refiner Merged	128K / 6.5 GB	1517	1
Legal Chatbot Sft Llama3.2 3B	128K / 6.5 GB	632	0
Llama3 Finetuned Id 16bit	128K / 6.5 GB	652	0
Fine Tuning LLM	128K / 6.5 GB	380	0
Llama 3.2 3B Legal SFT	128K / 6.5 GB	294	0
...ct Alpaca Indonesian Legal Rag	128K / 6.5 GB	23	0
...Llama 3.2 3B Legal Chatbot Sft	128K / 6.5 GB	817	0
Slm Rag Sft Merged	128K / 6.5 GB	297	0
...lama 3.2 3B Legal Assistant Id	128K / 6.5 GB	283	0
Llama3.2 3B Legal Id Ft	128K / 6.5 GB	264	0

Note: green Score (e.g. "73.2") means that the model is better than vampirehollie/Fine-Tuning-LLM.