Garbage 9B by jeiku

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Garbage 9B is an open-source language model by jeiku. Features: 9b LLM, VRAM: 17.9GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.14, Arc: 63.7, HellaSwag: 83, MMLU: 64.2, GSM8K: 54.1.

  Merged Model Base model:chaoticneutrals/inf... Base model:finetune:chaoticneu... Dataset:resplendentai/luna alp...   En   Endpoints compatible   Lora   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Garbage 9B Benchmarks

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

Garbage 9B Parameters and Internals

Additional Notes 
The goal is to improve intelligence and RP ability beyond the 7B original models.
Supported Languages 
en (primary)
Training Details 
Data Sources:
ResplendentAI/Luna_Alpaca
Methodology:
This is a finetune of InfinityNexus_9B. This is my first time tuning a frankenmerge, so hopefully it works out.
LLM NameGarbage 9B
Repository 🤗https://huggingface.co/jeiku/Garbage_9B 
Base Model(s)  InfinityNexus 9B   jeiku/luna_lora_9B   ChaoticNeutrals/InfinityNexus_9B   jeiku/luna_lora_9B
Merged ModelYes
Model Size9b
Required VRAM17.9 GB
Updated2026-05-15
Maintainerjeiku
Model Typemistral
Model Files  9.9 GB: 1-of-2   8.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jeiku/Garbage_9B.

Rank the Garbage 9B 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