40K Continued Pretraining Qwen2.5 0.5B Instruct Unsloth Merged 16bit by FlofloB

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40K Continued Pretraining Qwen2.5 0.5B Instruct Unsloth Merged 16bit is an open-source language model by FlofloB. Features: 0.5b LLM, VRAM: 1.3GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   4bit   Conversational Dataset:uncovai/fineweb cc-mai...   En   Endpoints compatible   Instruct   Pytorch   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth

40k Continued Pretraining Qwen2.5 0.5B Instruct Unsloth Merged 16bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

40K Continued Pretraining Qwen2.5 0.5B Instruct Unsloth Merged 16bit Parameters and Internals

LLM Name40k Continued Pretraining Qwen2.5 0.5B Instruct Unsloth Merged 16bit
Repository 🤗https://huggingface.co/FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit 
Base Model(s)  unsloth/qwen2.5-0.5b-instruct-bnb-4bit   unsloth/qwen2.5-0.5b-instruct-bnb-4bit
Merged ModelYes
Model Size0.5b
Required VRAM1.3 GB
Updated2026-05-14
MaintainerFlofloB
Model Typeqwen2
Instruction-BasedYes
Model Files  1.3 GB   1.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than FlofloB/40k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit.

Rank the 40K Continued Pretraining Qwen2.5 0.5B Instruct Unsloth Merged 16bit 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