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Llama32 3B En Emo 1000 Stp by iFaz

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Llama32 3B En Emo 1000 Stp is an open-source language model by iFaz. Features: 3b LLM, VRAM: 2.2GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

  4-bit   4bit   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/iFaz/llama32_3B_en_emo_1000_stp 

Llama32 3B En Emo 1000 Stp Benchmarks

LLME Score: 0.23789
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama32 3B En Emo 1000 Stp (iFaz/llama32_3B_en_emo_1000_stp)

Llama32 3B En Emo 1000 Stp Parameters and Internals

LLM NameLlama32 3B En Emo 1000 Stp
Repository 🤗https://huggingface.co/iFaz/llama32_3B_en_emo_1000_stp 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Model Size3b
Required VRAM2.2 GB
Updated2026-07-17
MaintaineriFaz
Model Typellama
Instruction-BasedYes
Model Files  2.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
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 iFaz/llama32_3B_en_emo_1000_stp.

Rank the Llama32 3B En Emo 1000 Stp 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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