What are the hardware requirements for Tinyllama AWQ Marlin?

Tinyllama AWQ Marlin requires approximately 0.8 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 Tinyllama AWQ Marlin and how large is it?

Tinyllama AWQ Marlin is developed by robertgshaw2, 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 Tinyllama AWQ Marlin?

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

Tinyllama AWQ Marlin by robertgshaw2 — VRAM 0.8GB, 2K context

Name: Tinyllama AWQ Marlin
Author: robertgshaw2

Tinyllama AWQ Marlin is an open-source language model by robertgshaw2. Features: 1.1b LLM, VRAM: 0.8GB, Context: 2K, Quantized, LLM Explorer Score: 0.11.

4-bit Awq Conversational Endpoints compatible Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/robertgshaw2/tinyllama-awq-marlin

Tinyllama AWQ Marlin Parameters and Internals

LLM Name	Tinyllama AWQ Marlin
Repository 🤗	https://huggingface.co/robertgshaw2/tinyllama-awq-marlin
Model Size	1.1b
Required VRAM	0.8 GB
Updated	2026-07-17
Maintainer	robertgshaw2
Model Type	llama
Model Files	0.8 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Tinyllama AWQ Marlin 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 Tinyllama AWQ Marlin

Best Alternatives	Context / RAM	Downloads	Likes
TinyLlama 1.1B Chat V1.0 AWQ	2K / 0.8 GB	5	0
TinyLlama 1.1B Chat V0.3 AWQ	2K / 0.8 GB	143144	5
TinyLlama 1.1B Chat V1.0 AWQ	2K / 0.8 GB	8494	6
Tinyllama56k AWQ	2K / 0.8 GB	6	0
Tinyllama1b 12k AWQ	2K / 0.8 GB	5	0
...ntermediate Step 715K 1.5T AWQ	2K / 0.8 GB	6	2
TinyLlama 1.1B Chat V0.3 AWQ	2K / 0.8 GB	26	1
...ma 1.1B Chat V0.3 Platypus AWQ	2K / 0.8 GB	11	3
... Intermediate Step 480K 1T AWQ	2K / 0.8 GB	12	2
TinyLlama 1.1B Python V0.1 AWQ	2K / 0.8 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than robertgshaw2/tinyllama-awq-marlin.