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Fine Tuned SmolLM2 360M With On Combined Instruction Dataset by akhilfau

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  Autotrain compatible Base model:finetune:huggingfac... Base model:huggingfacetb/smoll...   Conversational   Dataset:camel-ai/physics   Education   En   Endpoints compatible   Instruct   Llama   Low-resource-llm   Physics,   Region:us   Safetensors   Small-language-model,   Smollm,
Model Card on HF 🤗: https://huggingface.co/akhilfau/fine-tuned-smolLM2-360M-with-on-combined_Instruction_dataset 

Fine Tuned SmolLM2 360M With On Combined Instruction Dataset Benchmarks

LLME Score: 0.2598
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fine Tuned SmolLM2 360M With On Combined Instruction Dataset (akhilfau/fine-tuned-smolLM2-360M-with-on-combined_Instruction_dataset)

Fine Tuned SmolLM2 360M With On Combined Instruction Dataset Parameters and Internals

LLM NameFine Tuned SmolLM2 360M With On Combined Instruction Dataset
Repository 🤗https://huggingface.co/akhilfau/fine-tuned-smolLM2-360M-with-on-combined_Instruction_dataset 
Base Model(s)  SmolLM2 360M   HuggingFaceTB/SmolLM2-360M
Model Size360m
Required VRAM1.4 GB
Updated2025-04-30
Maintainerakhilfau
Model Typellama
Instruction-BasedYes
Model Files  1.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.49.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|im_end|>
Vocabulary Size49152
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than akhilfau/fine-tuned-smolLM2-360M-with-on-combined_Instruction_dataset.

Rank the Fine Tuned SmolLM2 360M With On Combined Instruction Dataset 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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