What are the hardware requirements for Phi 3 Unsloth Finetune 6?

Phi 3 Unsloth Finetune 6 requires approximately 28 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 Phi 3 Unsloth Finetune 6 and how large is it?

Phi 3 Unsloth Finetune 6 is developed by Tien09, a model with 14b 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 Phi 3 Unsloth Finetune 6?

Phi 3 Unsloth Finetune 6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3 Unsloth Finetune 6 by Tien09 — VRAM 28GB, 4K context

Name: Phi 3 Unsloth Finetune 6
Author: Tien09

Phi 3 Unsloth Finetune 6 is an open-source language model by Tien09. Features: 14b LLM, VRAM: 28GB, Context: 4K, Quantized, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:1910.09700 4bit Conversational Endpoints compatible Finetuned Instruct Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Tien09/phi_3_unsloth_finetune_6

Phi 3 Unsloth Finetune 6 Parameters and Internals

LLM Name	Phi 3 Unsloth Finetune 6
Repository 🤗	https://huggingface.co/Tien09/phi_3_unsloth_finetune_6
Model Size	14b
Required VRAM	28 GB
Updated	2025-12-12
Maintainer	Tien09
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 3.2 GB: 6-of-6
Quantization Type	4bit
Model Architecture	MistralForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3 Unsloth Finetune 6 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 Phi 3 Unsloth Finetune 6

Best Alternatives	Context / RAM	Downloads	Likes
Arsh V1	4K / 28 GB	1123	1
...ll Phi 3 Medium 4K Inst Philos	4K / 28 GB	7	0
...antha2.0 Phi3 Medium Ita 16bit	4K / 28 GB	2604	0
Phi 3 Unsloth Finetune 7	4K / 28 GB	7	0
Phi 3 Unsloth Finetune 5	4K / 28 GB	6	0
Phi 3 Unsloth Finetune 4	4K / 28 GB	8	0
Phi 3 Unsloth Finetuned 3	4K / 28 GB	6	0
...ral Nemo Instruct 14B Merge V1	1000K / 24.6 GB	19	0
Phi 3 Medium 4K Instruct	4K / 28 GB	38	28
...2.9.2 Phi 3 Medium Abliterated	4K / 28 GB	9259	19

Note: green Score (e.g. "73.2") means that the model is better than Tien09/phi_3_unsloth_finetune_6.