What are the hardware requirements for TinyLlama 1.1B Step 50K 105B AWQ 4bit?

TinyLlama 1.1B Step 50K 105B AWQ 4bit 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 Step 50K 105B AWQ 4bit and how large is it?

TinyLlama 1.1B Step 50K 105B AWQ 4bit is developed by TitanML, a model with 105b 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 Step 50K 105B AWQ 4bit?

TinyLlama 1.1B Step 50K 105B AWQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyLlama 1.1B Step 50K 105B AWQ 4bit by TitanML — VRAM 0.8GB, 2K context

Name: TinyLlama 1.1B Step 50K 105B AWQ 4bit
Author: TitanML

TinyLlama 1.1B Step 50K 105B AWQ 4bit is an open-source language model by TitanML. Features: 105b LLM, VRAM: 0.8GB, Context: 2K, Quantized, LLM Explorer Score: 0.13.

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

Model Card on HF 🤗: https://huggingface.co/TitanML/TinyLlama-1.1B-step-50K-105b-AWQ-4bit

TinyLlama 1.1B Step 50K 105B AWQ 4bit Parameters and Internals

LLM Name	TinyLlama 1.1B Step 50K 105B AWQ 4bit
Repository 🤗	https://huggingface.co/TitanML/TinyLlama-1.1B-step-50K-105b-AWQ-4bit
Base Model(s)	TinyLlama/TinyLlama-1.1B-step-50K-105b TinyLlama/TinyLlama-1.1B-step-50K-105b
Model Size	105b
Required VRAM	0.8 GB
Updated	2026-07-01
Maintainer	TitanML
Model Type	llama
Model Files	0.8 GB
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the TinyLlama 1.1B Step 50K 105B AWQ 4bit 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 Step 50K 105B AWQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Anubis Pro 105B V1	128K / 210.7 GB	4	32
TinyLlama 1.1B Step 50K 105B	2K / 4.4 GB	19902	134
TinyLlama	2K / 2.2 GB	5	0
...yLlama 1.1B Step 50K 105B ONNX	2K / GB	10	1
Tiny Llama 1.1b Odia Ext	2K / 2.2 GB	6	0
...a 1.1B Step 50K 105B Gptq 4bit	2K / 0.8 GB	14	1

Note: green Score (e.g. "73.2") means that the model is better than TitanML/TinyLlama-1.1B-step-50K-105b-AWQ-4bit.