What are the hardware requirements for JOSIE TinyLlama 1.1B 32K Base 4bit?

JOSIE TinyLlama 1.1B 32K Base 4bit requires approximately 0.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed JOSIE TinyLlama 1.1B 32K Base 4bit and how large is it?

JOSIE TinyLlama 1.1B 32K Base 4bit is developed by mlx-community, a model with 1.1b 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 JOSIE TinyLlama 1.1B 32K Base 4bit?

JOSIE TinyLlama 1.1B 32K Base 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

JOSIE TinyLlama 1.1B 32K Base 4bit by mlx-community — VRAM 0.6GB, 32K context

Name: JOSIE TinyLlama 1.1B 32K Base 4bit
Author: mlx-community

JOSIE TinyLlama 1.1B 32K Base 4bit is an open-source language model by mlx-community. Features: 1.1b LLM, VRAM: 0.6GB, Context: 32K, Quantized, LLM Explorer Score: 0.12.

4bit Base model:doctor-shotgun/tiny... Base model:finetune:doctor-sho... Endpoints compatible Llama Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/JOSIE-TinyLlama-1.1B-32k-base-4bit

JOSIE TinyLlama 1.1B 32K Base 4bit Parameters and Internals

Additional Notes

This model was converted to MLX format with mlx-lm version 0.12.1. Reference the original model card for detailed information.

LLM Name	JOSIE TinyLlama 1.1B 32K Base 4bit
Repository 🤗	https://huggingface.co/mlx-community/JOSIE-TinyLlama-1.1B-32k-base-4bit
Base Model(s)	Doctor-Shotgun/TinyLlama-1.1B-32k Doctor-Shotgun/TinyLlama-1.1B-32k
Model Size	1.1b
Required VRAM	0.6 GB
Updated	2026-07-30
Maintainer	mlx-community
Model Type	llama
Model Files	0.6 GB
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32024
Torch Data Type	float16

Rank the JOSIE TinyLlama 1.1B 32K Base 4bit capabilities

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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 JOSIE TinyLlama 1.1B 32K Base 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...E TinyLlama 1.1B 32K Base 8bit	32K / 1.2 GB	17	1
...1B 32K Instruct 8.0bpw H8 EXL2	32K / 1.2 GB	6	1
...1B 32K Instruct 3.0bpw H6 EXL2	32K / 0.5 GB	6	0
Athena TinyLlama V0.1	16K / 2.2 GB	14	0
...lama PY CODER 4bit Lora 4k V12	4K / 2.2 GB	8	0
Tinyllama Coder Py V14	4K / 2.2 GB	5	0
...icipal Prediction Merged Model	4K / 2.2 GB	6	0
TiamaPY V27	4K / 2.2 GB	7	0
TiamaPY 1.1B V24	4K / 2.2 GB	7	0
Merged 4bit Tiny Llama Gc2	4K / 0.8 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/JOSIE-TinyLlama-1.1B-32k-base-4bit.