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ISLEXITAS WELSPUN 7L 29 11 24 by technocrat3128

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Model Card on HF 🤗: https://huggingface.co/technocrat3128/ISLEXITAS_WELSPUN_7L_29_11_24 

ISLEXITAS WELSPUN 7L 29 11 24 Benchmarks

LLME Score: 0.24125
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ISLEXITAS WELSPUN 7L 29 11 24 (technocrat3128/ISLEXITAS_WELSPUN_7L_29_11_24)

ISLEXITAS WELSPUN 7L 29 11 24 Parameters and Internals

LLM NameISLEXITAS WELSPUN 7L 29 11 24
Repository 🤗https://huggingface.co/technocrat3128/ISLEXITAS_WELSPUN_7L_29_11_24 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2025-01-06
Maintainertechnocrat3128
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than technocrat3128/ISLEXITAS_WELSPUN_7L_29_11_24.

Rank the ISLEXITAS WELSPUN 7L 29 11 24 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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