Scryptonaut Codellama Instruct 13B Alpacamod Lora64 by wizzl0r

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Scryptonaut Codellama Instruct 13B Alpacamod Lora64 Benchmarks

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

Scryptonaut Codellama Instruct 13B Alpacamod Lora64 Parameters and Internals

LLM NameScryptonaut Codellama Instruct 13B Alpacamod Lora64
Repository ๐Ÿค—https://huggingface.co/wizzl0r/scryptonaut-codellama-instruct-13b-alpacamod-lora64 
Model Size13b
Required VRAM26 GB
Updated2024-09-18
Maintainerwizzl0r
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3   7.9 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q4
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.34.0.dev0
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32016
Torch Data Typefloat16
Scryptonaut Codellama Instruct 13B Alpacamod Lora64 (wizzl0r/scryptonaut-codellama-instruct-13b-alpacamod-lora64)

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Note: green Score (e.g. "73.2") means that the model is better than wizzl0r/scryptonaut-codellama-instruct-13b-alpacamod-lora64.

Rank the Scryptonaut Codellama Instruct 13B Alpacamod Lora64 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803