What are the hardware requirements for MagpieLM 4B Chat V0.1?

MagpieLM 4B Chat V0.1 requires approximately 9 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 MagpieLM 4B Chat V0.1 and how large is it?

MagpieLM 4B Chat V0.1 is developed by Magpie-Align, a model with 4b 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 MagpieLM 4B Chat V0.1?

MagpieLM 4B Chat V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MagpieLM 4B Chat V0.1 by Magpie-Align — VRAM 9GB, 128K context

Name: MagpieLM 4B Chat V0.1
Author: Magpie-Align

MagpieLM 4B Chat V0.1 is an open-source language model by Magpie-Align. Features: 4b LLM, VRAM: 9GB, Context: 128K, License: other, LLM Explorer Score: 0.14.

Arxiv:2406.08464 Arxiv:2411.07133 Alignment-handbook Base model:finetune:magpie-ali... Base model:magpie-align/magpie... Conversational Dataset:magpie-align/magpielm-... Dataset:magpie-align/magpielm-... Dpo Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/Magpie-Align/MagpieLM-4B-Chat-v0.1

MagpieLM 4B Chat V0.1 Parameters and Internals

Model Type

text-generation

Use Cases

Primary Use Cases:

friendly AI assistant

Limitations:

primarily understands and generates content in English, outputs may contain factual errors or logical inconsistencies, may reflect biases present in the training data, not specifically designed for complex reasoning tasks, may produce unsafe or inappropriate content

Additional Notes

This model was developed using the transformers library.

Training Details

Data Sources:

Magpie-Align/MagpieLM-SFT-Data-v0.1, Magpie-Align/MagpieLM-DPO-Data-v0.1

Methodology:

SFT and DPO

Context Length:

8192

Model Architecture:

Llama3.1

Input Output

Input Format:

Llama 3 chat template

Accepted Modalities:

text

Performance Tips:

Please use the Llama 3 chat template for the best performance.

Release Notes

Version:

v0.1

Notes:

Initial release of Llama3.1-MagpieLM-4B-Chat-v0.1.

LLM Name	MagpieLM 4B Chat V0.1
Repository 🤗	https://huggingface.co/Magpie-Align/MagpieLM-4B-Chat-v0.1
Base Model(s)	Magpie-Align/MagpieLM-4B-SFT-v0.1 Magpie-Align/MagpieLM-4B-SFT-v0.1
Model Size	4b
Required VRAM	9 GB
Updated	2026-07-24
Maintainer	Magpie-Align
Model Type	llama
Model Files	5.0 GB: 1-of-2 4.0 GB: 2-of-2 0.0 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the MagpieLM 4B Chat V0.1 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 MagpieLM 4B Chat V0.1

Best Alternatives	Context / RAM	Downloads	Likes
4Bcpt	256K / 8.8 GB	5	0
HoldMy4BKTO	256K / 8.8 GB	5	0
Xgen Small 4B Instruct R	256K / 17.7 GB	54	4
Xgen Small 4B Base R	256K / 17.7 GB	30	3
SJT 4B	146K / 7.6 GB	7	0
...lama 3.1 Nemotron Nano 4B V1.1	128K / 9 GB	3940	116
Nemotron W 4b MagLight 0.1	128K / 9.2 GB	9	3
Loxa 4B	128K / 16 GB	8	0
Nemotron W 4b Halo 0.1	128K / 9.2 GB	22	3
Aura 4B	128K / 9 GB	44	14

Note: green Score (e.g. "73.2") means that the model is better than Magpie-Align/MagpieLM-4B-Chat-v0.1.