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CodeNexus by jamesmeike

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CodeNexus is an open-source language model by jamesmeike. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.27.

  4bit   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/jamesmeike/CodeNexus 

CodeNexus Benchmarks

LLME Score: 0.2655
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeNexus (jamesmeike/CodeNexus)
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CodeNexus Parameters and Internals

LLM NameCodeNexus
Repository 🤗https://huggingface.co/jamesmeike/CodeNexus 
Base Model(s)  unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit   unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit
Model Size1b
Required VRAM2.5 GB
Updated2026-03-29
Maintainerjamesmeike
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Tokenizer ClassTokenizersBackend
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the CodeNexus Capabilities

🆘 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! 🌟

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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