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Qwen2.5 14B Bnb 4bit by unsloth

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Qwen2.5 14B Bnb 4bit is an open-source language model by unsloth. Features: 14b LLM, VRAM: 9.9GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

  Arxiv:2407.10671   4-bit   4bit   Ara Base model:quantized:qwen/qwen...   Base model:qwen/qwen2.5-14b   Bitsandbytes   Deu   Endpoints compatible   Eng   Fra   Ita   Jpn   Kor   Por   Quantized   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Unsloth   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-14B-bnb-4bit 

Qwen2.5 14B Bnb 4bit Benchmarks

LLME Score: 0.18322
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 14B Bnb 4bit (unsloth/Qwen2.5-14B-bnb-4bit)
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Qwen2.5 14B Bnb 4bit Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Areas:
Research, Coding, Mathematics, Multilingual Applications
Applications:
Chatbots, Structured Data Understanding, Role-playing Implementations
Primary Use Cases:
instruction following, generating long texts, understanding structured data, generating structured outputs
Limitations:
Not recommended for conversations without further training
Considerations:
Use post-training methods for conversations like SFT, RLHF
Additional Notes 
Supports multilingual capabilities with improved role-play conditions for chatbots.
Supported Languages 
English (high), Chinese (high), French (medium), Spanish (medium), Portuguese (medium), German (medium), Italian (medium), Russian (medium), Japanese (medium), Korean (medium), Vietnamese (medium), Thai (medium), Arabic (medium), other_languages (basic)
Training Details 
Data Sources:
specialized expert models in coding and mathematics
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use the latest version of 'transformers' to avoid errors.
LLM NameQwen2.5 14B Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-14B-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM9.9 GB
Updated2026-04-04
Maintainerunsloth
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   4.9 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-14B-bnb-4bit.

Rank the Qwen2.5 14B Bnb 4bit 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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