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CodeMaster V1 9B by KingNish

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  Merged Model   Autotrain compatible Base model:finetune:kingnish/c... Base model:kingnish/codemaster...   Endpoints compatible   Kingnish/codemaster-v1-7b   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KingNish/CodeMaster-v1-9b 

CodeMaster V1 9B Benchmarks

ARC: 40.1 vs 96.7 (so35)-58.5%
HellaSwag: 54.96 vs 95.3 (gpt4)-42.3%
MMLU: 36.55 vs 88.3 (so35)-58.6%
TruthfulQA: 43.07 vs 59 (gpt4)-27%
WinoGrande: 57.06 vs 87.5 (gpt4)-34.8%
LLME Score: 0.22313
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeMaster V1 9B (KingNish/CodeMaster-v1-9b)

CodeMaster V1 9B Parameters and Internals

Model Type 
text-generation
Additional Notes 
CodeMaster-v1-9b is a merge of the KingNish/CodeMaster-v1-7b models using LazyMergekit, with specific layer ranges in the configuration.
LLM NameCodeMaster V1 9B
Repository 🤗https://huggingface.co/KingNish/CodeMaster-v1-9b 
Base Model(s)  CodeMaster V1 7B   CodeMaster V1 7B   KingNish/CodeMaster-v1-7b   KingNish/CodeMaster-v1-7b
Merged ModelYes
Model Size7b
Required VRAM18.4 GB
Updated2024-12-10
MaintainerKingNish
Model Typellama
Model Files  2.0 GB: 1-of-10   2.0 GB: 2-of-10   2.0 GB: 3-of-10   2.0 GB: 4-of-10   1.9 GB: 5-of-10   2.0 GB: 6-of-10   2.0 GB: 7-of-10   2.0 GB: 8-of-10   2.0 GB: 9-of-10   0.5 GB: 10-of-10
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32023
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than KingNish/CodeMaster-v1-9b.

Rank the CodeMaster V1 9B 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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Release v20241227
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