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Qibil 4B V0.1 RP by Hastagaras

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Qibil 4B V0.1 RP is an open-source language model by Hastagaras. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.21.

  Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-4b-base   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Hastagaras/Qibil-4B-v0.1-RP 

Qibil 4B V0.1 RP Benchmarks

LLME Score: 0.20718
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qibil 4B V0.1 RP (Hastagaras/Qibil-4B-v0.1-RP)
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Qibil 4B V0.1 RP Parameters and Internals

LLM NameQibil 4B V0.1 RP
Repository 🤗https://huggingface.co/Hastagaras/Qibil-4B-v0.1-RP 
Base Model(s)  Qwen3 4B Base   Qwen/Qwen3-4B-Base
Model Size4b
Required VRAM8.1 GB
Updated2025-09-28
MaintainerHastagaras
Model Typeqwen3
Model Files  4.3 GB: 1-of-2   3.8 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.52.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Hastagaras/Qibil-4B-v0.1-RP.

Rank the Qibil 4B V0.1 RP 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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