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Auto Completer 0.1 by Parveshiiii

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Auto Completer 0.1 is an open-source language model by Parveshiiii. Features: 360m LLM, VRAM: 1.4GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.22.

  Auto-completion Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   En   Endpoints compatible   Finetuned   Llama   Long-context   Region:us   Safetensors   Smollm2
Model Card on HF 🤗: https://huggingface.co/Parveshiiii/Auto-Completer-0.1 

Auto Completer 0.1 Benchmarks

LLME Score: 0.21516
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Auto Completer 0.1 (Parveshiiii/Auto-Completer-0.1)
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Auto Completer 0.1 Parameters and Internals

LLM NameAuto Completer 0.1
Repository 🤗https://huggingface.co/Parveshiiii/Auto-Completer-0.1 
Base Model(s)  SmolLM2 360M   HuggingFaceTB/SmolLM2-360M
Model Size360m
Required VRAM1.4 GB
Updated2026-03-30
MaintainerParveshiiii
Model Typellama
Model Files  1.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.56.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152

Best Alternatives to Auto Completer 0.1

Best Alternatives
Context / RAM
Downloads
Likes
SmolLM2 360M Instruct8K / 0.7 GB446881185
Smollm3 720prms8K / 0.7 GB460
SmolLM2 360M8K / 0.7 GB6819691
ProseFlow V1 360M Instruct8K / 0.7 GB80
TwinSmolLM2 360M8K / 0.7 GB50
SmolLM2 Rethink 360M8K / 1.4 GB71
Smollm2 360M Sft SmallThoughts8K / 0.7 GB50
SolaraV2 Coder 05118K / 0.7 GB51
SmolLM2 360M Rickified8K / 1.4 GB90
BrainrotLM Assistant 362M8K / 0 GB70
Note: green Score (e.g. "73.2") means that the model is better than Parveshiiii/Auto-Completer-0.1.

Rank the Auto Completer 0.1 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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