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NexusRaven 13B GPTQ by TheBloke

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  Arxiv:2308.12950   4-bit   Autotrain compatible Base model:nexusflow/nexusrave... Base model:quantized:nexusflow...   Codegen   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/NexusRaven-13B-GPTQ 

NexusRaven 13B GPTQ Benchmarks

LLME Score: 0.10892
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NexusRaven 13B GPTQ (TheBloke/NexusRaven-13B-GPTQ)
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NexusRaven 13B GPTQ Parameters and Internals

Model Type 
llama
Use Cases 
Limitations:
Stop criteria of ["\nReflection:"] recommended, Works best with a retriever for a multitude of functions, Prone to generate incorrect calls, requires guardrails
Additional Notes 
The model is commercially viable and surpasses state-of-the-art in function calling capabilities.
Training Details 
Methodology:
Fine-tuned version of codellama/CodeLlama-13b-Instruct-hf
Input Output 
Input Format:
{prompt}
LLM NameNexusRaven 13B GPTQ
Repository 🤗https://huggingface.co/TheBloke/NexusRaven-13B-GPTQ 
Model NameNexusraven 13B
Model CreatorNexusflow
Base Model(s)  NexusRaven 13B   Nexusflow/NexusRaven-13B
Model Size13b
Required VRAM7.3 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  7.3 GB
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.33.2
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/NexusRaven-13B-GPTQ.

Rank the NexusRaven 13B GPTQ 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 v20241124
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