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Llama 3.2 Instruct 3B TIES by vhab10

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Llama 3.2 Instruct 3B TIES is an open-source language model by vhab10. Features: 3b LLM, VRAM: 2.2GB, Context: 128K, License: mit, Instruction-Based, LLM Explorer Score: 0.2.

  4-bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Bitsandbytes   En   Endpoints compatible   Instruct   Llama   Llama-3   Mergekit   Meta   Model-merging   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/vhab10/Llama-3.2-Instruct-3B-TIES 

Llama 3.2 Instruct 3B TIES Benchmarks

LLME Score: 0.20233
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 Instruct 3B TIES (vhab10/Llama-3.2-Instruct-3B-TIES)
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Llama 3.2 Instruct 3B TIES Parameters and Internals

LLM NameLlama 3.2 Instruct 3B TIES
Repository 🤗https://huggingface.co/vhab10/Llama-3.2-Instruct-3B-TIES 
Base Model(s)  meta-llama/Llama-3.2-3B   meta-llama/Llama-3.2-3B
Model Size3b
Required VRAM2.2 GB
Updated2026-05-12
Maintainervhab10
Model Typellama
Instruction-BasedYes
Model Files  2.2 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Llama 3.2 3B Instruct128K / 6.5 GB22052122139
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Llama 3.2 3B ToxicKod128K / 6.4 GB102
Note: green Score (e.g. "73.2") means that the model is better than vhab10/Llama-3.2-Instruct-3B-TIES.

Rank the Llama 3.2 Instruct 3B TIES 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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