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KingNish Llama3 8B by KingNish

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KingNish Llama3 8B is an open-source language model by KingNish. Features: 8b LLM, VRAM: 16GB, Context: 8K, License: mit, Merged, LLM Explorer Score: 0.14, Arc: 70, HellaSwag: 85.8, MMLU: 68.5, GSM8K: 69.1.

  Merged Model   Autotrain compatible Base model:mlabonne/chimeralla... Base model:vagosolutions/llama...   Conversational   Endpoints compatible   Llama   Mlabonne/chimerallama-3-8b-v3   Region:us   Safetensors   Sharded   Tensorflow Vagosolutions/llama-3-sauerkra...
Model Card on HF 🤗: https://huggingface.co/KingNish/KingNish-Llama3-8b 

KingNish Llama3 8B Benchmarks

ARC: 69.97 vs 96.7 (so35)-27.6%
HellaSwag: 85.83 vs 95.3 (gpt4)-9.9%
MMLU: 68.45 vs 88.3 (so35)-22.5%
GSM8K: 69.07 vs 96.4 (so35)-28.4%
LLME Score: 0.13783
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KingNish Llama3 8B (KingNish/KingNish-Llama3-8b)
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KingNish Llama3 8B Parameters and Internals

Model Type 
text-generation
Training Details 
Methodology:
LazyMergekit
LLM NameKingNish Llama3 8B
Repository 🤗https://huggingface.co/KingNish/KingNish-Llama3-8b 
Base Model(s)  ...ama 3 SauerkrautLM 8B Instruct   ChimeraLlama 3 8B V3   VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct   mlabonne/ChimeraLlama-3-8B-v3
Merged ModelYes
Model Size8b
Required VRAM16 GB
Updated2024-12-10
MaintainerKingNish
Model Typellama
Model Files  1.1 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.9 GB: 8-of-9   1.3 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than KingNish/KingNish-Llama3-8b.

Rank the KingNish Llama3 8B 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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