What are the hardware requirements for Turdus GPTQ?

Turdus GPTQ requires approximately 4.2 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 Turdus GPTQ and how large is it?

Turdus GPTQ is developed by MaziyarPanahi, a model with 1.2b 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 Turdus GPTQ?

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

Turdus GPTQ by MaziyarPanahi — VRAM 4.2GB, 32K context

Name: Turdus GPTQ
Author: MaziyarPanahi

Turdus GPTQ is an open-source language model by MaziyarPanahi. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

4-bit 7b Autotrain compatible Base model:finetune:udkai/turd... Base model:mlabonne/neuralmarc... Base model:udkai/turdus Dataset:hromi/winograd dpo bas... Doi:10.57967/hf/1611 Dpo Endpoints compatible Finetuned Gptq Has space Mistral Mlabonne/neuralmarcoro14-7b Mmlu abstract algebra Quantized Region:us Safetensors Winograd

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Turdus-GPTQ

Turdus GPTQ Parameters and Internals

Model Type

text-generation

Input Output

Output Format:

text

LLM Name	Turdus GPTQ
Repository 🤗	https://huggingface.co/MaziyarPanahi/Turdus-GPTQ
Model Name	Turdus-GPTQ
Model Creator	udkai
Base Model(s)	Turdus udkai/Turdus
Model Size	1.2b
Required VRAM	4.2 GB
Updated	2026-08-02
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	4.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Turdus GPTQ 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 Turdus GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
... Finetune 16bit Ver9 Main GPTQ	32K / 4.2 GB	6	0
Hare1.0 Beta	32K / 2.4 GB	50	1
Mistralmawq	32K / 4.2 GB	14	0
Quantized Kheopss AWQ 4bits V1	32K / 4.2 GB	17	0
MistralLite AWQ	32K / 4.2 GB	42	3
SFR Embedding Mistral AWQ	32K / 4.2 GB	16	0
Yugo55A GPT AWQ	32K / 4.2 GB	6	0
Openchat 3.5 16K AWQ	32K / 4.2 GB	3	1
Openchat 3.5 0106 AWQ	8K / 4.2 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Turdus-GPTQ.