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Scryptonaut Codellama Instruct 13B Alpaca Lora64 by wizzl0r

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Scryptonaut Codellama Instruct 13B Alpaca Lora64 is an open-source language model by wizzl0r. Features: 13b LLM, VRAM: 26GB, Context: 16K, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.09.

  Codegen   Endpoints compatible   Ggml   Gguf   Instruct   Llama   Pytorch   Q4   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/wizzl0r/scryptonaut-codellama-instruct-13b-alpaca-lora64 

Scryptonaut Codellama Instruct 13B Alpaca Lora64 Benchmarks

LLME Score: 0.09489
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 Alpaca Lora64 (wizzl0r/scryptonaut-codellama-instruct-13b-alpaca-lora64)
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Scryptonaut Codellama Instruct 13B Alpaca Lora64 Parameters and Internals

LLM NameScryptonaut Codellama Instruct 13B Alpaca Lora64
Repository 🤗https://huggingface.co/wizzl0r/scryptonaut-codellama-instruct-13b-alpaca-lora64 
Model Size13b
Required VRAM26 GB
Updated2026-03-31
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

Best Alternatives to Scryptonaut Codellama Instruct 13B Alpaca Lora64

Best Alternatives
Context / RAM
Downloads
Likes
... Codellama Instruct 13B Lora6416K / 26 GB160
... Instruct 13B Alpacamod Lora6416K / 26 GB150
CodeLlama 13B Instruct GGUF16K / 5.4 GB2862
CodeLlama 13B Instruct Fp1616K / 26 GB90328
...Llama 13B Instruct Hf 4bit MLX16K / 7.8 GB3463
...13B Instruct Nf4 Fp16 Upscaled16K / 26 GB280
NexusRaven V2 13B16K / 26 GB80470
CodeLlama 13B Instruct Hf16K / 26 GB5282159
CodeLlama 13B MORepair16K / 26 GB122
CodeLlama 13B Instruct Hf16K / 26 GB23427
Note: green Score (e.g. "73.2") means that the model is better than wizzl0r/scryptonaut-codellama-instruct-13b-alpaca-lora64.

Rank the Scryptonaut Codellama Instruct 13B Alpaca 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  
Multi-Language Support and Translation  

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