What are the hardware requirements for Phi 2 Sft Oasst1?

Phi 2 Sft Oasst1 requires approximately 5.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 2 Sft Oasst1 and how large is it?

Phi 2 Sft Oasst1 is developed by ma921, a model with 2.8b 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 2 Sft Oasst1?

Phi 2 Sft Oasst1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 2 Sft Oasst1 by ma921 — VRAM 5.6GB, 2K context

Name: Phi 2 Sft Oasst1
Author: ma921

Phi 2 Sft Oasst1 is an open-source language model by ma921. Features: 2.8b LLM, VRAM: 5.6GB, Context: 2K, License: mit, LLM Explorer Score: 0.18.

Base model:finetune:microsoft/... Base model:microsoft/phi-2 Endpoints compatible Generated from trainer Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ma921/phi-2-sft-oasst1

Phi 2 Sft Oasst1 Parameters and Internals

LLM Name	Phi 2 Sft Oasst1
Repository 🤗	https://huggingface.co/ma921/phi-2-sft-oasst1
Base Model(s)	Phi 2 microsoft/phi-2
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-07-19
Maintainer	ma921
Model Type	phi
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2 0.0 GB
Model Architecture	PhiForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.51.3
Tokenizer Class	CodeGenTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	51200
Torch Data Type	float16

Rank the Phi 2 Sft Oasst1 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 2 Sft Oasst1

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	6
MFANN3b	128K / 11.1 GB	86
MFANN3bv1.4	128K / 11.1 GB	8
MFANN Phigments Slerp V3.2	128K / 5.6 GB	6
MFANN3bv1.3	128K / 11.1 GB	14
MFANN3bv0.23	128K / 11.1 GB	10
MFANN3bv1.1	128K / 11.1 GB	10
MFANN3bv1.5	128K / 11.1 GB	8
MFANN Liminerity Slerp 4a	128K / 5.6 GB	7
MFANN3b Rebase	128K / 11.1 GB	7

Note: green Score (e.g. "73.2") means that the model is better than ma921/phi-2-sft-oasst1.