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Qwen2 0.5B Instruct Bnb 4bit MAC Lora by inflaton

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Qwen2 0.5B Instruct Bnb 4bit MAC Lora is an open-source language model by inflaton. Features: 0.5b LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/q... Base model:unsloth/qwen2-0.5b-...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Lora   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/inflaton/Qwen2-0.5B-Instruct-bnb-4bit-MAC-lora 

Qwen2 0.5B Instruct Bnb 4bit MAC Lora Benchmarks

LLME Score: 0.13294
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 0.5B Instruct Bnb 4bit MAC Lora (inflaton/Qwen2-0.5B-Instruct-bnb-4bit-MAC-lora)
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Qwen2 0.5B Instruct Bnb 4bit MAC Lora Parameters and Internals

Model Type 
text-generation-inference, transformers
LLM NameQwen2 0.5B Instruct Bnb 4bit MAC Lora
Repository 🤗https://huggingface.co/inflaton/Qwen2-0.5B-Instruct-bnb-4bit-MAC-lora 
Base Model(s)  unsloth/Qwen2-0.5B-Instruct-bnb-4bit   unsloth/Qwen2-0.5B-Instruct-bnb-4bit
Model Size0.5b
Required VRAM0.5 GB
Updated2024-12-06
Maintainerinflaton
Model Typeqwen2
Instruction-BasedYes
Model Files  0.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

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TinySphinx32K / 1 GB340
Note: green Score (e.g. "73.2") means that the model is better than inflaton/Qwen2-0.5B-Instruct-bnb-4bit-MAC-lora.

Rank the Qwen2 0.5B Instruct Bnb 4bit MAC Lora 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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