NexusRaven V2 13B by Nexusflow

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  Arxiv:2308.12950   Autotrain compatible Base model:codellama/codellama... Base model:finetune:codellama/...   Codegen   Endpoints compatible   Function calling   Instruct   Llama   Pytorch   Region:us   Sharded

NexusRaven V2 13B Benchmarks

NexusRaven V2 13B (Nexusflow/NexusRaven-V2-13B)

NexusRaven V2 13B Parameters and Internals

Model Type 
function calling
Use Cases 
Primary Use Cases:
function calling
Limitations:
The model can be prone to generate incorrect calls and explanations., Works best when connected with a retriever when numerous functions are present.
LLM NameNexusRaven V2 13B
Repository ๐Ÿค—https://huggingface.co/Nexusflow/NexusRaven-V2-13B 
Base Model(s)  CodeLlama 13B Instruct Hf   codellama/CodeLlama-13b-Instruct-hf
Model Size13b
Required VRAM26 GB
Updated2024-12-21
MaintainerNexusflow
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.33.0
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32024
Torch Data Typebfloat16

Quantized Models of the NexusRaven V2 13B

Model
Likes
Downloads
VRAM
NexusRaven V2 13B AWQ3117 GB
NexusRaven V2 13B GGUF4910145 GB
NexusRaven V2 13B GPTQ3257 GB
NexusRaven V2 13B AWQ1227 GB

Best Alternatives to NexusRaven V2 13B

Best Alternatives
Context / RAM
Downloads
Likes
CodeLlama 13B MORepair16K / 26 GB26502
CodeLlama 13B Instruct Hf16K / 26 GB16223144
CodeLlama 13B Instruct Hf16K / 26 GB99518
TableLLM 13B16K / 26 GB23525
... Llama 2 13B Instruct Text2sql16K / 26 GB646927
NexusRaven 13B16K / 26 GB158103
Panda Coder 13B16K / 26 GB8813
Gen Sim16K / 0.3 GB172
CodeLlama 13B Instruct Fp1616K / 26 GB200629
...Llama 13B Instruct Hf 4bit MLX16K / 7.8 GB752
Note: green Score (e.g. "73.2") means that the model is better than Nexusflow/NexusRaven-V2-13B.

Rank the NexusRaven V2 13B Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217