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Shqiponja 15B V1 by nisten

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Shqiponja 15B V1 is an open-source language model by nisten. Features: 15b LLM, VRAM: 31.3GB, Context: 32K, License: gpl-3.0, LLM Explorer Score: 0.12, Arc: 66.4, HellaSwag: 85.3, MMLU: 64.6, GSM8K: 69.1.

Base model:adapter:nisten/shqi... Base model:nisten/shqiponja-15... Dataset:iamshnoo/alpaca-cleane... Dataset:noxneural/lilium alban...   Generated from trainer   Mixtral   Peft   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/nisten/shqiponja-15b-v1 

Shqiponja 15B V1 Benchmarks

ARC: 66.38 vs 96.7 (so35)-31.4%
HellaSwag: 85.26 vs 95.3 (gpt4)-10.5%
MMLU: 64.62 vs 88.3 (so35)-26.8%
GSM8K: 69.07 vs 96.4 (so35)-28.4%
LLME Score: 0.12025
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shqiponja 15B V1 (nisten/shqiponja-15b-v1)
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Shqiponja 15B V1 Parameters and Internals

Model Type 
AutoModelForCausalLM
Training Details 
Data Sources:
iamshnoo/alpaca-cleaned-albanian, noxneural/lilium_albanicum_eng_alb
LLM NameShqiponja 15B V1
Repository 🤗https://huggingface.co/nisten/shqiponja-15b-v1 
Base Model(s)  Shqiponja 15B V1   nisten/shqiponja-15b-v1
Model Size15b
Required VRAM31.3 GB
Updated2026-06-29
Maintainernisten
Model Typemixtral
Model Files  5.0 GB: 1-of-7   4.9 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.9 GB: 5-of-7   5.0 GB: 6-of-7   1.5 GB: 7-of-7
Model ArchitectureMixtralForCausalLM
Licensegpl-3.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Shqiponja 15B V1

Best Alternatives
Context / RAM
Downloads
Likes
Shqiponja 15B V2 8bit32K / 16.3 GB1061
HelpingAI 15B4K / 31.6 GB5712
HelpingAI 15B4K / 31.6 GB6813
Note: green Score (e.g. "73.2") means that the model is better than nisten/shqiponja-15b-v1.

Rank the Shqiponja 15B V1 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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