What are the hardware requirements for Saiga Phi 3 Mini 4K 4bit?

Saiga Phi 3 Mini 4K 4bit requires approximately 2.3 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 Saiga Phi 3 Mini 4K 4bit and how large is it?

Saiga Phi 3 Mini 4K 4bit is developed by Slavator096, 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 Saiga Phi 3 Mini 4K 4bit?

Saiga Phi 3 Mini 4K 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Saiga Phi 3 Mini 4K 4bit by Slavator096 — VRAM 2.3GB, 4K context

Name: Saiga Phi 3 Mini 4K 4bit
Author: Slavator096

Saiga Phi 3 Mini 4K 4bit is an open-source language model by Slavator096. Features: 3.8b LLM, VRAM: 2.3GB, Context: 4K, Quantized, LLM Explorer Score: 0.12.

Arxiv:1910.09700 4-bit 4bit Conversational Custom code Endpoints compatible Gptq Phi3 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Slavator096/saiga-phi-3-mini-4k-4bit

Saiga Phi 3 Mini 4K 4bit Parameters and Internals

LLM Name	Saiga Phi 3 Mini 4K 4bit
Repository 🤗	https://huggingface.co/Slavator096/saiga-phi-3-mini-4k-4bit
Model Size	3.8b
Required VRAM	2.3 GB
Updated	2026-08-05
Maintainer	Slavator096
Model Type	phi3
Model Files	2.3 GB
Quantization Type	4bit
Model Architecture	Phi3ForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
Torch Data Type	float16

Rank the Saiga Phi 3 Mini 4K 4bit 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

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Phi 4 Mini Instruct	128K / 7.7 GB	514603	791
Phi 3.5 Mini Instruct	128K / 7.7 GB	1164079	999
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Hit Promo Reasoner	128K / 7.7 GB	409	2

Note: green Score (e.g. "73.2") means that the model is better than Slavator096/saiga-phi-3-mini-4k-4bit.