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Llama 3.2 1B Instruct XMADai 4bit by xmadai

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Llama 3.2 1B Instruct XMADai 4bit is an open-source language model by xmadai. Features: 1b LLM, VRAM: 1.5GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  4-bit   4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/xmadai/Llama-3.2-1B-Instruct-xMADai-4bit 

Llama 3.2 1B Instruct XMADai 4bit Benchmarks

LLME Score: 0.15589
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 1B Instruct XMADai 4bit (xmadai/Llama-3.2-1B-Instruct-xMADai-4bit)
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Llama 3.2 1B Instruct XMADai 4bit Parameters and Internals

LLM NameLlama 3.2 1B Instruct XMADai 4bit
Repository 🤗https://huggingface.co/xmadai/Llama-3.2-1B-Instruct-xMADai-4bit 
Base Model(s)  meta-llama/Llama-3.2-1B-Instruct   meta-llama/Llama-3.2-1B-Instruct
Model Size1b
Required VRAM1.5 GB
Updated2026-05-20
Maintainerxmadai
Model Typellama
Instruction-BasedYes
Model Files  1.5 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Llama 3.2 1B Instruct XMADai 4bit

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Llama3.2 1B HAREM128K / 2.5 GB4110
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...2 1B Instruct Unsloth Bnb 4bit128K / 1.1 GB715364
Llama 3.2 1B Instruct 4bit128K / 0.7 GB6714019
Llama 3.2 1B Instruct Bnb 4bit128K / 1 GB3215122
Orca Mini V9 5 1B Instruct128K / 2.5 GB114
Llama Deepsync 1B128K / 2.5 GB153
...truct Gptqmodel 4bit Vortex V1128K / 1.6 GB1322
... Mini V9 5 1B Instruct Preview128K / 2.5 GB92
Note: green Score (e.g. "73.2") means that the model is better than xmadai/Llama-3.2-1B-Instruct-xMADai-4bit.

Rank the Llama 3.2 1B Instruct XMADai 4bit 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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