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Koishi Instruct 3B by ewof

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Koishi Instruct 3B is an open-source language model by ewof. Features: 3b LLM, VRAM: 5.7GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.11, Arc: 41, HellaSwag: 64.5, MMLU: 26.6, GSM8K: 1.1.

Dataset:ewof/koishi-instruct-m...   Endpoints compatible   Gpt neox   Instruct   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ewof/koishi-instruct-3b 

Koishi Instruct 3B Benchmarks

ARC: 40.96 vs 96.7 (so35)-57.6%
HellaSwag: 64.54 vs 95.3 (gpt4)-32.3%
MMLU: 26.58 vs 88.3 (so35)-69.9%
GSM8K: 1.14 vs 96.4 (so35)-98.8%
LLME Score: 0.11211
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Koishi Instruct 3B (ewof/koishi-instruct-3b)
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Koishi Instruct 3B Parameters and Internals

Training Details 
Data Sources:
ewof/koishi-instruct-metharme
Input Output 
Input Format:
<|system|>, <|user|>, <|model|>
LLM NameKoishi Instruct 3B
Repository 🤗https://huggingface.co/ewof/koishi-instruct-3b 
Model Size3b
Required VRAM5.7 GB
Updated2026-05-12
Maintainerewof
Model Typegpt_neox
Instruction-BasedYes
Model Files  5.7 GB
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ewof/koishi-instruct-3b.

Rank the Koishi Instruct 3B 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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