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Zira Z.1 by HyperX-Sen

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Zira Z.1 is an open-source language model by HyperX-Sen. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   En   Hi   Hinglish   Pytorch   Qwen2   Region:us   Sft   Sharded   Trl
Model Card on HF 🤗: https://huggingface.co/HyperX-Sen/Zira-Z.1 

Zira Z.1 Benchmarks

LLME Score: 0.18892
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zira Z.1 (HyperX-Sen/Zira-Z.1)
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Zira Z.1 Parameters and Internals

LLM NameZira Z.1
Repository 🤗https://huggingface.co/HyperX-Sen/Zira-Z.1 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-09-23
MaintainerHyperX-Sen
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen hi
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Zira Z.1

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB50
Qwen2.5 7B Instruct 1M986K / 15.4 GB60563368
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B V1.1986K / 15.2 GB61
Hush Qwen2.5 7B Preview986K / 15.2 GB400
Hush Qwen2.5 7B V1.4986K / 15.2 GB41
Hush Qwen2.5 7B V1.3986K / 15.2 GB42
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB192
Qwen2.5 7B MixStock V0.1986K / 15.2 GB443
Qwen 2.5 7B Exp Sce986K / 15.2 GB82
Note: green Score (e.g. "73.2") means that the model is better than HyperX-Sen/Zira-Z.1.

Rank the Zira Z.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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