Qwen2.5 14B Instruct Unsloth Bnb 4bit by unsloth

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Qwen2.5 14B Instruct Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 14b LLM, VRAM: 11.3GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

  Arxiv:2407.10671   4-bit   4bit   Ara Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-14b-in...   Bitsandbytes   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Quantized   Qwen   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Unsloth   Vie   Zho

Qwen2.5 14B Instruct Unsloth Bnb 4bit Benchmarks

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 Instruct Unsloth Bnb 4bit Parameters and Internals

LLM NameQwen2.5 14B Instruct Unsloth Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-14B-Instruct-unsloth-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM11.3 GB
Updated2026-05-08
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   4.7 GB: 2-of-3   1.6 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...B Instruct 1M Unsloth Bnb 4bit986K / 14.3 GB2384
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Qwen2.5 14B Instruct 1M 4bit986K / 8.3 GB912
...en2.5 14B Instruct 1M Bnb 4bit986K / 9.9 GB322
...n2.5 Math 14B Instruct Preview32K / 29.7 GB8521
RQwen V0.132K / 29.7 GB3842
Qwen Carpmuscle V0.4.132K / 29.7 GB230
...wen2.5 Math 14B Instruct Alpha32K / 29.7 GB572
Reasoning 1 1K Demo32K / 29.7 GB231
Sphinx2.032K / 29.7 GB01
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-14B-Instruct-unsloth-bnb-4bit.

Rank the Qwen2.5 14B Instruct Unsloth Bnb 4bit 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