What are the hardware requirements for Llama Jan16?

Llama Jan16 requires approximately 27.8 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 Llama Jan16 and how large is it?

Llama Jan16 is developed by RoyJoy, a model with 13.9b 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 Llama Jan16?

Llama Jan16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama Jan16 by RoyJoy — VRAM 27.8GB, 4K context

Name: Llama Jan16
Author: RoyJoy

Llama Jan16 is an open-source language model by RoyJoy. Features: 13.9b LLM, VRAM: 27.8GB, Context: 4K, LLM Explorer Score: 0.16.

Arxiv:1910.09700 Autotrain compatible Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/RoyJoy/llama-jan16

Llama Jan16 Parameters and Internals

LLM Name	Llama Jan16
Repository 🤗	https://huggingface.co/RoyJoy/llama-jan16
Model Size	13.9b
Required VRAM	27.8 GB
Updated	2025-09-15
Maintainer	RoyJoy
Model Type	llama
Model Files	4.9 GB: 1-of-6 4.9 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 3.3 GB: 6-of-6
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.44.0
Vocabulary Size	100288
Torch Data Type	bfloat16

Rank the Llama Jan16 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 Llama Jan16

Best Alternatives	Context / RAM	Downloads
Sn29 Mar15 C0a	4K / 27.8 GB	5
Sn29 Llama Feb23 C0	4K / 27.8 GB	5
Llama 01141	4K / 27.8 GB	10

Note: green Score (e.g. "73.2") means that the model is better than RoyJoy/llama-jan16.