What are the hardware requirements for Tinyllama 24 Gptq 8bit Channelwise?

Tinyllama 24 Gptq 8bit Channelwise requires approximately 1.2 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 24 Gptq 8bit Channelwise and how large is it?

Tinyllama 24 Gptq 8bit Channelwise is developed by alexm-nm, 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 24 Gptq 8bit Channelwise?

Tinyllama 24 Gptq 8bit Channelwise is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinyllama 24 Gptq 8bit Channelwise by alexm-nm — VRAM 1.2GB, 2K context

Name: Tinyllama 24 Gptq 8bit Channelwise
Author: alexm-nm

Tinyllama 24 Gptq 8bit Channelwise is an open-source language model by alexm-nm. Features: 1.1b LLM, VRAM: 1.2GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

8-bit 8bit Conversational Endpoints compatible Fp16 Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/alexm-nm/tinyllama-24-gptq-8bit-channelwise

Tinyllama 24 Gptq 8bit Channelwise Parameters and Internals

LLM Name	Tinyllama 24 Gptq 8bit Channelwise
Repository 🤗	https://huggingface.co/alexm-nm/tinyllama-24-gptq-8bit-channelwise
Model Size	1.1b
Required VRAM	1.2 GB
Updated	2026-07-21
Maintainer	alexm-nm
Model Type	llama
Model Files	1.2 GB
GPTQ Quantization	Yes
Quantization Type	fp16\|gptq\|8bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Tinyllama 24 Gptq 8bit Channelwise 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 Tinyllama 24 Gptq 8bit Channelwise

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...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
Tinyllama 24 Gptq 4bit G128	2K / 0.8 GB	7	0
Tinyllama 24 Gptq 8bit G128	2K / 1.3 GB	7	0
...llama 24 Gptq 4bit Channelwise	2K / 0.8 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than alexm-nm/tinyllama-24-gptq-8bit-channelwise.