Qwen2.5 32B Instruct Bnb 4bit by unsloth

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Qwen2.5 32B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 32b LLM, VRAM: 19.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

  Arxiv:2309.00071   Arxiv:2407.10671   4-bit   4bit   Ara Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-32b-in...   Bitsandbytes   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Quantized   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Unsloth   Vie   Zho

Qwen2.5 32B Instruct 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 32B Instruct Bnb 4bit Parameters and Internals

LLM NameQwen2.5 32B Instruct Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-32B-Instruct-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM19.2 GB
Updated2026-03-29
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   4.3 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 32B Instruct 8bit32K / 34.9 GB1636
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB82
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-32B-Instruct-bnb-4bit.

Rank the Qwen2.5 32B Instruct Bnb 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20260328a