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Samantha2.0 Qwen2.5 7B Ita 16bit by WasamiKirua

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  4bit   Autotrain compatible   Companion   Conversational Dataset:wasamikirua/haiku-ita-... Dataset:wasamikirua/samantha2....   Endpoints compatible   Eq   It   Psychology   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/WasamiKirua/Samantha2.0-Qwen2.5-7B-ita-16bit 

Samantha2.0 Qwen2.5 7B Ita 16bit Benchmarks

LLME Score: 0.26599
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Samantha2.0 Qwen2.5 7B Ita 16bit (WasamiKirua/Samantha2.0-Qwen2.5-7B-ita-16bit)

Samantha2.0 Qwen2.5 7B Ita 16bit Parameters and Internals

LLM NameSamantha2.0 Qwen2.5 7B Ita 16bit
Repository 🤗https://huggingface.co/WasamiKirua/Samantha2.0-Qwen2.5-7B-ita-16bit 
Base Model(s)  unsloth/qwen2.5-7b-bnb-4bit   unsloth/qwen2.5-7b-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
MaintainerWasamiKirua
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesit
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than WasamiKirua/Samantha2.0-Qwen2.5-7B-ita-16bit.

Rank the Samantha2.0 Qwen2.5 7B Ita 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 v20241227
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