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Llama 3.2 1B Wiki Ft V2 by abcorrea

 »  All LLMs  »  abcorrea  »  Llama 3.2 1B Wiki Ft V2   URL Share it on

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Llama 3.2 1B Wiki Ft V2 is an open-source language model by abcorrea. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, LLM Explorer Score: 0.19.

  Arxiv:1910.09700   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/abcorrea/llama-3.2-1b-wiki-ft-v2 

Llama 3.2 1B Wiki Ft V2 Benchmarks

LLME Score: 0.18573
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 Wiki Ft V2 (abcorrea/llama-3.2-1b-wiki-ft-v2)
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Llama 3.2 1B Wiki Ft V2 Parameters and Internals

LLM NameLlama 3.2 1B Wiki Ft V2
Repository 🤗https://huggingface.co/abcorrea/llama-3.2-1b-wiki-ft-v2 
Model Size1b
Required VRAM2.5 GB
Updated2026-04-19
Maintainerabcorrea
Model Typellama
Model Files  2.5 GB   2.5 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.50.1
Tokenizer ClassPreTrainedTokenizer
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Llama 3.2 1B Wiki Ft V2

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Context / RAM
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Likes
ISA 02 Nano Llama 3.2 1B1024K / 2.5 GB21074
LWM Text Chat 1M1024K / 13.5 GB737174
LWM Text 1M1024K / 13.5 GB79029
JOSIE 1M Base1024K / 13.5 GB121
JOSIE 1M Base1024K / 13.5 GB61
Llama 3.2 1B Instruct128K / 2.5 GB54644911116
Llama 3.2 1B128K / 2.5 GB33060122082
Shield Llama 3.2 1B Full FT CE128K / 2.5 GB6830
PG67A W Serum.Test 3.2 1B128K / 3 GB6470
Llama 3.2 1B Instruct Bf16128K / 2.5 GB9245
Note: green Score (e.g. "73.2") means that the model is better than abcorrea/llama-3.2-1b-wiki-ft-v2.

Rank the Llama 3.2 1B Wiki Ft V2 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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