What are the hardware requirements for Dj Phi 3 3.8B 16bit?

Dj Phi 3 3.8B 16bit requires approximately 7.6 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 Dj Phi 3 3.8B 16bit and how large is it?

Dj Phi 3 3.8B 16bit is developed by deepanshdj, a model with 3.8b 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 Dj Phi 3 3.8B 16bit?

Dj Phi 3 3.8B 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dj Phi 3 3.8B 16bit by deepanshdj — VRAM 7.6GB, 4K context

Name: Dj Phi 3 3.8B 16bit
Author: deepanshdj

Dj Phi 3 3.8B 16bit is an open-source language model by deepanshdj. Features: 3.8b LLM, VRAM: 7.6GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

16bit Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-... Conversational En Endpoints compatible Instruct Mistral Phi Phi3 Pytorch Quantized Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/deepanshdj/dj-phi-3_3.8b-16bit

Dj Phi 3 3.8B 16bit Parameters and Internals

Model Type

text generation

Additional Notes

The model is designed for conversation and text generation.

LLM Name	Dj Phi 3 3.8B 16bit
Repository 🤗	https://huggingface.co/deepanshdj/dj-phi-3_3.8b-16bit
Base Model(s)	Phi 3 Mini 4K Instruct unsloth/Phi-3-mini-4k-instruct
Model Size	3.8b
Required VRAM	7.6 GB
Updated	2026-08-05
Maintainer	deepanshdj
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.6 GB: 2-of-2 5.0 GB: 1-of-2 2.6 GB: 2-of-2
Supported Languages	en
Quantization Type	16bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	float16

Rank the Dj Phi 3 3.8B 16bit 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 Dj Phi 3 3.8B 16bit

Best Alternatives	Context / RAM	Downloads	Likes
Tonmai GPT	4K / 7.6 GB	314	0
Wandaa V02 Merged	4K / 7.6 GB	28	0
... Instruct Unsloth Merged 16bit	4K / 7.6 GB	14	2
...ent V56 3 W Unknown 5 Lr 0.002	4K / 7.6 GB	7	0
...Word Problems 200K Model 16bit	4K / 7.6 GB	3879	0
... 4K Instruct Matter 0.1 Slim A	4K / 7.6 GB	17	2
...rser User V9b Epoch 7 Lr 0.002	4K / 7.6 GB	6	0
...100 Percent Low Med Perplexity	4K / 7.6 GB	12	0
...22 Epoch7 0.002 Nosystemprompt	4K / 7.6 GB	5	0
...Af 50 Percent Low Med Nv Embed	4K / 7.6 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than deepanshdj/dj-phi-3_3.8b-16bit.