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NexusRaven 13B AWQ by TheBloke

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

NexusRaven 13B AWQ Benchmarks

LLME Score: 0.1086
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NexusRaven 13B AWQ (TheBloke/NexusRaven-13B-AWQ)
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NexusRaven 13B AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Limitations:
We highly recommend using a stop criteria of ['\nReflection:']. The model was trained to first generate an answer and then reflect on its answer to either improve the answer or keep the answer the same., The model works best when it is connected with a retriever when there are a multitude of functions, as a large number of functions will saturate the context window., The model can be prone to generate incorrect calls. Please ensure proper guardrails to capture errant behavior is in place.
LLM NameNexusRaven 13B AWQ
Repository 🤗https://huggingface.co/TheBloke/NexusRaven-13B-AWQ 
Model NameNexusraven 13B
Model CreatorNexusflow
Base Model(s)  NexusRaven 13B   Nexusflow/NexusRaven-13B
Model Size13b
Required VRAM7.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  7.2 GB
AWQ QuantizationYes
Quantization Typeawq
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-AWQ.

Rank the NexusRaven 13B AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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