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SmolLM 360M No Robots Lora Merged Fp16 by Aarushhh

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SmolLM 360M No Robots Lora Merged Fp16 is an open-source language model by Aarushhh. Features: 360m LLM, VRAM: 0.8GB, Context: 32K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.14.

  Merged Model   Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational   En   Endpoints compatible   Fp16   Llama   Lora   Pytorch   Quantized   Region:us   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Aarushhh/SmolLM-360M-no-robots-lora-merged-fp16 

SmolLM 360M No Robots Lora Merged Fp16 Benchmarks

LLME Score: 0.14094
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SmolLM 360M No Robots Lora Merged Fp16 (Aarushhh/SmolLM-360M-no-robots-lora-merged-fp16)
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SmolLM 360M No Robots Lora Merged Fp16 Parameters and Internals

LLM NameSmolLM 360M No Robots Lora Merged Fp16
Repository 🤗https://huggingface.co/Aarushhh/SmolLM-360M-no-robots-lora-merged-fp16 
Base Model(s)  SmolLM 360M   HuggingFaceTB/SmolLM-360M
Merged ModelYes
Model Size360m
Required VRAM0.8 GB
Updated2024-08-19
MaintainerAarushhh
Model Typellama
Model Files  0.8 GB
Supported Languagesen
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49152
LoRA ModelYes
Torch Data Typefloat16

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SmolLM2 360M Instruct Bnb 4bit8K / 0.3 GB4432
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Smol Lm2 360 Instruct8K / 0.7 GB553
Smollm2 360M Text2sql Sft8K / 1.4 GB10670
SmolLM2 360M Instruct8K / 0.7 GB292056188
Nuevamol 360M Init8K / 0.7 GB630
Nuevamol 360M 6Btok Wd58K / 0.6 GB240
SmolLM2 360M8K / 0.7 GB60613104
Smollm3 720prms8K / 0.7 GB740
Note: green Score (e.g. "73.2") means that the model is better than Aarushhh/SmolLM-360M-no-robots-lora-merged-fp16.

Rank the SmolLM 360M No Robots Lora Merged Fp16 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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