Turdus GPTQ by MaziyarPanahi

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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: 0.12.

  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

Turdus GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Turdus GPTQ (MaziyarPanahi/Turdus-GPTQ)
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Turdus GPTQ Parameters and Internals

Model Type 
text-generation
Input Output 
Output Format:
text
LLM NameTurdus GPTQ
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Turdus-GPTQ 
Model NameTurdus-GPTQ
Model Creatorudkai
Base Model(s)  Turdus   udkai/Turdus
Model Size1.2b
Required VRAM4.2 GB
Updated2026-04-09
MaintainerMaziyarPanahi
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Turdus GPTQ 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  

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Release v20260328a