What are the hardware requirements for Phi 3.5 Indo Legal Exp2?

Phi 3.5 Indo Legal Exp2 requires approximately 7.6 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 Phi 3.5 Indo Legal Exp2 and how large is it?

Phi 3.5 Indo Legal Exp2 is developed by Rislantrs, 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 Phi 3.5 Indo Legal Exp2?

Phi 3.5 Indo Legal Exp2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 3.5 Indo Legal Exp2 by Rislantrs — VRAM 7.6GB, 128K context

Name: Phi 3.5 Indo Legal Exp2
Author: Rislantrs

Phi 3.5 Indo Legal Exp2 is an open-source language model by Rislantrs. Features: 3.8b LLM, VRAM: 7.6GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

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

Model Card on HF 🤗: https://huggingface.co/Rislantrs/Phi-3.5-Indo-Legal-Exp2

Phi 3.5 Indo Legal Exp2 Parameters and Internals

LLM Name	Phi 3.5 Indo Legal Exp2
Repository 🤗	https://huggingface.co/Rislantrs/Phi-3.5-Indo-Legal-Exp2
Base Model(s)	unsloth/phi-3.5-mini-instruct-bnb-4bit unsloth/phi-3.5-mini-instruct-bnb-4bit
Model Size	3.8b
Required VRAM	7.6 GB
Updated	2026-07-07
Maintainer	Rislantrs
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.6 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	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Phi 3.5 Indo Legal Exp2 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 3.5 Indo Legal Exp2

Best Alternatives	Context / RAM	Downloads	Likes
Legal Chatbot Qlora Id	128K / 7.6 GB	69	0
DeepPhi 3.5 Mini Instruct	128K / 7.6 GB	5	0
Model	128K / 7.6 GB	41	0
Phi 3 5 Mini 3k Each	128K / 7.6 GB	5	0
...ene Phi 3.5 Mini Instruct Orpo	128K / 7.6 GB	9	2
Tara 3.8B	146K / 7.6 GB	10	0
...hi3 Unlearning General Methode	128K / 7.6 GB	355	0
Superthoughts Mini V1.3.8B	128K / 7.6 GB	78	1
Phi 3.5 Mini Instruct	128K / 7.6 GB	3544	50
Phi 3 5 Mini Kp 12k Cfr Sft	128K / 7.6 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than Rislantrs/Phi-3.5-Indo-Legal-Exp2.