Vicuna 68M by double7

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Vicuna 68M is an open-source language model by double7. Features: 68m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.14.

  Arxiv:2401.06706 Dataset:anon8231489123/sharegp...   En   Endpoints compatible   Llama   Region:us   Safetensors

Vicuna 68M Benchmarks

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

Vicuna 68M Parameters and Internals

Model Type 
text generation
Additional Notes 
Compared and aligned to Vicuna and LLaMA models.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
ShareGPT_Vicuna_unfiltered
Methodology:
Fine-tuning
Model Architecture:
Vicuna-like from LLaMA-68m
LLM NameVicuna 68M
Repository 🤗https://huggingface.co/double7/vicuna-68m 
Model Size68m
Required VRAM0.3 GB
Updated2026-05-17
Maintainerdouble7
Model Typellama
Model Files  0.3 GB   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to Vicuna 68M

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Context / RAM
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Likes
Llama 68M Fft4K / 0.1 GB6590
Llama 43M Beta2K / 0.2 GB60
Llama 68M Chat V12K / 0.3 GB103413
Llama 68M2K / 0 GB19503536
Gpt2 Sft Dutch2K / 0.1 GB60
Jack 68M Text Structurization2K / 0.1 GB102
Llama 68M Oasst Top12K / 0.3 GB100
Llama 68M Oasst2K / 0.3 GB60
Llama 68M Finetuned Wikitext22K / 0.3 GB100
JackFram Llama 68M2K / 0.3 GB185
Note: green Score (e.g. "73.2") means that the model is better than double7/vicuna-68m.

Rank the Vicuna 68M 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