Llama 68M Finetuned Wikitext2 by NowaBwagel0

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Llama 68M Finetuned Wikitext2 is an open-source language model by NowaBwagel0. Features: 68m LLM, VRAM: 0.3GB, Context: 2K, License: other, Fine-Tuned, LLM Explorer Score: 0.11.

Base model:finetune:jackfram/l...   Base model:jackfram/llama-68m   Endpoints compatible   Finetuned   Generated from trainer   Llama   Region:us   Safetensors   Tensorboard

Llama 68M Finetuned Wikitext2 Benchmarks

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

Llama 68M Finetuned Wikitext2 Parameters and Internals

Additional Notes 
Model is a fine-tuned version on the wikitext2 dataset with specific hyperparameters used during training.
Training Details 
Data Sources:
None
Methodology:
Fine-tuning
LLM NameLlama 68M Finetuned Wikitext2
Repository 🤗https://huggingface.co/NowaBwagel0/llama-68m-finetuned-wikitext2 
Base Model(s)  Llama 68M   JackFram/llama-68m
Model Size68m
Required VRAM0.3 GB
Updated2026-05-23
MaintainerNowaBwagel0
Model Typellama
Model Files  0.3 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than NowaBwagel0/llama-68m-finetuned-wikitext2.

Rank the Llama 68M Finetuned Wikitext2 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