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Arco Interpreter V1.2 by appvoid

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Arco Interpreter V1.2 is an open-source language model by appvoid. Features: LLM, VRAM: 1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.15.

  Base model:appvoid/arco Base model:finetune:appvoid/ar...   En   Endpoints compatible   Llama   Pytorch   Region:us   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/appvoid/arco-interpreter-v1.2 

Arco Interpreter V1.2 Benchmarks

LLME Score: 0.15457
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Arco Interpreter V1.2 (appvoid/arco-interpreter-v1.2)
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Arco Interpreter V1.2 Parameters and Internals

Model Type 
text-generation-inference, transformers, llama, trl, sft
Additional Notes 
This model should have tokenization issues alleviated, it should stop properly now.
Supported Languages 
en (proficient)
Training Details 
Data Volume:
33% of dataset
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Time:
1 epoch
LLM NameArco Interpreter V1.2
Repository 🤗https://huggingface.co/appvoid/arco-interpreter-v1.2 
Base Model(s)  Arco   appvoid/arco
Required VRAM1 GB
Updated2026-04-08
Maintainerappvoid
Model Typellama
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Arco Interpreter V1.2

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LWM Text Chat 512K512K / 13.5 GB72
LWM Text 512K512K / 13.5 GB52
LWM Text 256K256K / 13.5 GB113
LWM Text Chat 256K256K / 13.5 GB63
Pallas 0.5 LASER 0.1195K / 68.9 GB18882
SnorTTS Indic V0128K / 9.5 GB81721
Orpheus AUS128K /  GB50
Llama 3.1 Medprm Reward V1.0128K / 16.1 GB11016
Finetuning Health Ci128K / 6.5 GB22
LLaMA Mesh128K / 16.1 GB452181
Note: green Score (e.g. "73.2") means that the model is better than appvoid/arco-interpreter-v1.2.

Rank the Arco Interpreter V1.2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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