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TAV by Novaciano

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TAV is an open-source language model by Novaciano. Features: 1b LLM, VRAM: 3GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   Autotrain compatible Base model:rbc33/llama-3.2-1b-... Base model:shuogz/llama-3.2-1b...   Endpoints compatible   Instruct   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Novaciano/TAV 

TAV Benchmarks

LLME Score: 0.17724
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TAV (Novaciano/TAV)
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TAV Parameters and Internals

LLM NameTAV
Repository 🤗https://huggingface.co/Novaciano/TAV 
Base Model(s)  rbc33/Llama-3.2-1B-Instruct-Abliterated   ShuoGZ/llama-3.2-1B-Instruct-abliterated   rbc33/Llama-3.2-1B-Instruct-Abliterated   ShuoGZ/llama-3.2-1B-Instruct-abliterated
Merged ModelYes
Model Size1b
Required VRAM3 GB
Updated2025-09-18
MaintainerNovaciano
Model Typellama
Instruction-BasedYes
Model Files  3.0 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to TAV

Best Alternatives
Context / RAM
Downloads
Likes
Llama 3.2 1B Instruct128K / 2.5 GB83632041460
LlaMa3.2 1B Instruct128K / 4.9 GB1420
Llama 3.2 1B Instruct Bf16128K / 2.5 GB11585
Llama 3.2 1B Instruct128K / 2.5 GB42277896
...2 1B Instruct Only Mask W Item128K / 3 GB12250
Llama 3.2 1B Instruct128K / 2.5 GB70
...Instruct Only Mask W Item Mesh128K / 3 GB3900
Llama3.2 1B RolePlaying Full128K / 2.5 GB451
Shield Llama 3.2 1B Full FT CE128K / 2.5 GB7950
Llama3.2 1B FantasySciFi128K / 2.5 GB3040
Note: green Score (e.g. "73.2") means that the model is better than Novaciano/TAV.

Rank the TAV 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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