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NexusRaven V2 13B AWQ by sAmBiT77

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NexusRaven V2 13B AWQ is an open-source language model by sAmBiT77. Features: 13b LLM, VRAM: 7.2GB, Context: 16K, License: apache-2.0, Quantized, HF Score: 48.2, LLM Explorer Score: 0.15, Arc: 45.1, HellaSwag: 67.4, MMLU: 44.9, TruthfulQA: 44.5, WinoGrande: 66.4, GSM8K: 20.9.

  4-bit   Autotrain compatible   Awq   Dataset:wikitext   Endpoints compatible   Function calling   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/sAmBiT77/NexusRaven-V2-13B-awq 

NexusRaven V2 13B AWQ Benchmarks

ARC: 45.14 vs 96.7 (so35)-53.3%
HellaSwag: 67.4 vs 95.3 (gpt4)-29.3%
MMLU: 44.88 vs 88.3 (so35)-49.2%
TruthfulQA: 44.54 vs 59 (gpt4)-24.5%
WinoGrande: 66.38 vs 87.5 (gpt4)-24.1%
GSM8K: 20.92 vs 96.4 (so35)-78.3%
LLME Score: 0.14955
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NexusRaven V2 13B AWQ (sAmBiT77/NexusRaven-V2-13B-awq)
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NexusRaven V2 13B AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
Function Calling
Additional Notes 
The model is the quantized version of NexusFlow's NexusRaven V-2 using Activation-Aware Weight Quantization. It is suitable for high-degree Function Calling, including Simple Functions, Compound Functions, and Nested Functions. The model hasn't been fine-tuned yet.
LLM NameNexusRaven V2 13B AWQ
Repository 🤗https://huggingface.co/sAmBiT77/NexusRaven-V2-13B-awq 
Model NameNexusRaven V2 13B
Model CreatorNexusflow
Base Model(s)  NexusRaven V2 13B   Nexusflow/NexusRaven-V2-13B
Model Size13b
Required VRAM7.2 GB
Updated2024-12-18
MaintainersAmBiT77
Model Typellama
Model Files  7.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
Vocabulary Size32024
Torch Data Typefloat16

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Rank the NexusRaven V2 13B 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  
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Multi-Language Support and Translation  

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