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ZeroShot Agents Llama3 4.0.5 SFT AWQ by Weni

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  Merged Model   4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

ZeroShot Agents Llama3 4.0.5 SFT AWQ Benchmarks

LLME Score: 0.21934
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ZeroShot Agents Llama3 4.0.5 SFT AWQ Parameters and Internals

LLM NameZeroShot Agents Llama3 4.0.5 SFT AWQ
Repository 🤗https://huggingface.co/Weni/ZeroShot-Agents-Llama3-4.0.5-SFT-AWQ 
Merged ModelYes
Model Size2b
Required VRAM5.8 GB
Updated2024-10-12
MaintainerWeni
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
ZeroShot Agents Llama3 4.0.5 SFT AWQ (Weni/ZeroShot-Agents-Llama3-4.0.5-SFT-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than Weni/ZeroShot-Agents-Llama3-4.0.5-SFT-AWQ.

Rank the ZeroShot Agents Llama3 4.0.5 SFT AWQ 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 v2024072803
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