What are the hardware requirements for TinyLlama 1.1B Chat V1.0 G128 Marlin?

TinyLlama 1.1B Chat V1.0 G128 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 1.1B Chat V1.0 G128 Marlin and how large is it?

TinyLlama 1.1B Chat V1.0 G128 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 1.1B Chat V1.0 G128 Marlin?

TinyLlama 1.1B Chat V1.0 G128 Marlin is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyLlama 1.1B Chat V1.0 G128 Marlin by robertgshaw2 — VRAM 0.8GB, 2K context

Name: TinyLlama 1.1B Chat V1.0 G128 Marlin
Author: robertgshaw2

TinyLlama 1.1B Chat V1.0 G128 Marlin is an open-source language model by robertgshaw2. Features: 1.1b LLM, VRAM: 0.8GB, Context: 2K, Quantized, LLM Explorer Score: 0.1.

4-bit Conversational Deploy:azure Endpoints compatible Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/robertgshaw2/TinyLlama-1.1B-Chat-v1.0-g128-marlin

TinyLlama 1.1B Chat V1.0 G128 Marlin Parameters and Internals

LLM Name	TinyLlama 1.1B Chat V1.0 G128 Marlin
Repository 🤗	https://huggingface.co/robertgshaw2/TinyLlama-1.1B-Chat-v1.0-g128-marlin
Base Model(s)	mayflowergmbh/TinyLlama-1.1B-Chat-v1.0-german mayflowergmbh/TinyLlama-1.1B-Chat-v1.0-german
Model Size	1.1b
Required VRAM	0.8 GB
Updated	2026-07-16
Maintainer	robertgshaw2
Model Type	llama
Model Files	0.8 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the TinyLlama 1.1B Chat V1.0 G128 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 1.1B Chat V1.0 G128 Marlin

Best Alternatives	Context / RAM	Downloads	Likes
...inyLlama 1.1B Chat V1.0 Marlin	2K / 0.8 GB	13378	2
TinyLlama 1.1B Chat V0.3 GPTQ	2K / 0.8 GB	1081876	10
TinyLlama 1.1B Chat V1.0 GPTQ	2K / 0.8 GB	107132	14
...Llama 1.1B Chat V1.0 GPTQ 4bit	2K / 0.8 GB	24697	0
....1B Chat V1.0 GPTQ Marlin 4bit	2K / 0.8 GB	13628	0
...inyLlama 1.1B Chat V1.0 Marlin	2K / 0.8 GB	3583	1
Tinyllama56k GPTQ	2K / 1.3 GB	7	0
...llama 24 Gptq 8bit Channelwise	2K / 1.2 GB	296	0
Tinyllama 24 Gptq 4bit G128	2K / 0.8 GB	7	0
Tinyllama 24 Gptq 8bit G128	2K / 1.3 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than robertgshaw2/TinyLlama-1.1B-Chat-v1.0-g128-marlin.