What are the hardware requirements for MobileLLaMA 1.4B Base GGUF?

MobileLLaMA 1.4B Base GGUF requires approximately 0.6 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 MobileLLaMA 1.4B Base GGUF and how large is it?

MobileLLaMA 1.4B Base GGUF is developed by andrijdavid, a model with 1.4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does MobileLLaMA 1.4B Base GGUF perform on standard benchmarks?

MobileLLaMA 1.4B Base GGUF has the following published scores: MMLU 24.79. Compare against reference models on this page or on the LLM Explorer leaderboards.

MobileLLaMA 1.4B Base GGUF by andrijdavid — VRAM 0.6GB, 2K context

Name: MobileLLaMA 1.4B Base GGUF
Author: andrijdavid

MobileLLaMA 1.4B Base GGUF is an open-source language model by andrijdavid. Features: 1.4b LLM, VRAM: 0.6GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.15, Arc: 34.4, HellaSwag: 56.3, MMLU: 24.8, GSM8K: 1.1.

Arxiv:2312.16886 Dataset:togethercomputer/redpa... Endpoints compatible Gguf Llama Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/andrijdavid/MobileLLaMA-1.4B-Base-GGUF

MobileLLaMA 1.4B Base GGUF Parameters and Internals

Model Type

Transformer, text generation

Additional Notes

Model files are available in the GGUF format, optimized for lightweight deployment and faster inference on mobile devices.

Training Details

Data Sources:

RedPajama v1 dataset

Data Volume:

1.3T tokens

Model Architecture:

Transformer

LLM Name	MobileLLaMA 1.4B Base GGUF
Repository 🤗	https://huggingface.co/andrijdavid/MobileLLaMA-1.4B-Base-GGUF
Base Model(s)	mtgv/MobileLLaMA-1.4B-Base mtgv/MobileLLaMA-1.4B-Base
Model Size	1.4b
Required VRAM	0.6 GB
Updated	2026-08-02
Maintainer	andrijdavid
Model Type	llama
Model Files	0.6 GB 0.7 GB 0.7 GB 0.7 GB 0.6 GB 0.8 GB 0.9 GB 0.8 GB 0.8 GB 0.8 GB 0.9 GB 1.0 GB 1.0 GB 1.0 GB 0.9 GB 1.1 GB 1.4 GB 2.7 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.33.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the MobileLLaMA 1.4B Base GGUF 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 MobileLLaMA 1.4B Base GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Tinyfrank 1.4B	2K / 2.7 GB	559	29
Tinyfrank 1.4B GGUF	2K / 0.6 GB	78	0
Llama 3.2 Hammered Four	128K / 2.8 GB	6	0
Llama3 1.4B Init 2	4K / 3 GB	4	1
42dot V0	4K / 5.8 GB	5	0
42dot Quantized	4K / 1.7 GB	5	0
42dot Number	4K / 5.8 GB	6	0
42dot Test Upload	4K / 5.8 GB	6	0
42dot Label	4K / 5.8 GB	5	0
42dot Law	4K / 5.8 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than andrijdavid/MobileLLaMA-1.4B-Base-GGUF.