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Koios Code Instruct Finetune Test by Koios-API

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Koios Code Instruct Finetune Test is an open-source language model by Koios-API. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, Quantized, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Finetuned   Gemma   Gguf   Instruct   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Koios-API/koios-Code-Instruct-Finetune-test 

Koios Code Instruct Finetune Test Benchmarks

LLME Score: 0.12824
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Koios Code Instruct Finetune Test (Koios-API/koios-Code-Instruct-Finetune-test)
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Koios Code Instruct Finetune Test Parameters and Internals

LLM NameKoios Code Instruct Finetune Test
Repository 🤗https://huggingface.co/Koios-API/koios-Code-Instruct-Finetune-test 
Model Size2b
Required VRAM5.1 GB
Updated2026-05-14
MaintainerKoios-API
Model Typegemma
Instruction-BasedYes
Model Files  1.6 GB   1.6 GB   5.0 GB: 1-of-2   0.1 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

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Gemma 2B Inst Aipi8K / 5.1 GB432
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...ma Code Instruct Finetune Test8K / 5.1 GB160
Gemma 2B Instruct8K / 5.1 GB370
...Code 2B Instruct Finetune Test8K / 5.1 GB280
Gita SastraGPT V18K / 5.1 GB191
Pandas Tutor Gemma 2B8K / 5.1 GB81
... 2B Finetuned Sft Navarasa 2.08K / 10 GB100626
...ma Code Instruct Finetune Test8K / 5.1 GB50
Gemma 2B Sft Preview8K / 5 GB80
Note: green Score (e.g. "73.2") means that the model is better than Koios-API/koios-Code-Instruct-Finetune-test.

Rank the Koios Code Instruct Finetune Test 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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