What are the hardware requirements for Slimorca Phi 3.5?

Slimorca Phi 3.5 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 Slimorca Phi 3.5 and how large is it?

Slimorca Phi 3.5 is developed by karasu000. 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 Slimorca Phi 3.5?

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

Slimorca Phi 3.5 by karasu000 — VRAM 7.6GB, 128K context

Name: Slimorca Phi 3.5
Author: karasu000

Slimorca Phi 3.5 is an open-source language model by karasu000. Features: LLM, VRAM: 7.6GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

4bit Conversational En Endpoints compatible Instruct Llama Pytorch Quantized Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/karasu000/slimorca-Phi-3.5

Slimorca Phi 3.5 Parameters and Internals

LLM Name	Slimorca Phi 3.5
Repository 🤗	https://huggingface.co/karasu000/slimorca-Phi-3.5
Base Model(s)	unsloth/phi-3.5-mini-instruct-bnb-4bit unsloth/phi-3.5-mini-instruct-bnb-4bit
Required VRAM	7.6 GB
Updated	2026-07-26
Maintainer	karasu000
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
Transformers Version	4.50.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	float16

Rank the Slimorca Phi 3.5 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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