Smollm 135M Neuraltxt V1 by paperbd

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Smollm 135M Neuraltxt V1 is an open-source language model by paperbd. Features: 135m LLM, VRAM: 0.3GB, Context: 2K, License: mit, Instruction-Based, LLM Explorer Score: 0.28.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Dataset:paperbd/paper instruct...   En   Instruct   Llama   Region:us   Safetensors

Smollm 135M Neuraltxt V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Smollm 135M Neuraltxt V1 Parameters and Internals

LLM NameSmollm 135M Neuraltxt V1
Repository 🤗https://huggingface.co/paperbd/smollm_135M_neuraltxt_v1 
Base Model(s)  SmolLM 135M   HuggingFaceTB/SmolLM-135M
Model Size135m
Required VRAM0.3 GB
Updated2026-06-06
Maintainerpaperbd
Model Typellama
Instruction-BasedYes
Model Files  0.3 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version5.3.0
Tokenizer ClassGPT2Tokenizer
Padding Token<empty_output>
Vocabulary Size49152
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than paperbd/smollm_135M_neuraltxt_v1.

Rank the Smollm 135M Neuraltxt V1 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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Release v20260328a