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Regex AI Llama 3.2 1B by mishl

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Regex AI Llama 3.2 1B is an open-source language model by mishl. Features: 1b LLM, VRAM: 0.8GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Code generation   Conversational   Dataset:phongo/regex   En   Endpoints compatible   Gguf   Instruct   Llama   Pytorch   Quantized   Regex   Region:us
Model Card on HF 🤗: https://huggingface.co/mishl/Regex-AI-Llama-3.2-1B 

Regex AI Llama 3.2 1B Benchmarks

LLME Score: 0.15253
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Regex AI Llama 3.2 1B (mishl/Regex-AI-Llama-3.2-1B)
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Regex AI Llama 3.2 1B Parameters and Internals

LLM NameRegex AI Llama 3.2 1B
Repository 🤗https://huggingface.co/mishl/Regex-AI-Llama-3.2-1B 
Base Model(s)  meta-llama/Llama-3.2-1B-Instruct   meta-llama/Llama-3.2-1B-Instruct
Model Size1b
Required VRAM0.8 GB
Updated2026-07-07
Maintainermishl
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB   2.5 GB   0.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than mishl/Regex-AI-Llama-3.2-1B.

Rank the Regex AI Llama 3.2 1B 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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