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Bucharest 0.2 by Mihaiii

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  Autotrain compatible Base model:finetune:migtissera... Base model:migtissera/tess-10....   Conversational Dataset:mihaiii/openhermes-2.5...   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Mihaiii/Bucharest-0.2 

Bucharest 0.2 Benchmarks

ARC: 64.59 vs 96.7 (so35)-33.2%
HellaSwag: 84.87 vs 95.3 (gpt4)-10.9%
MMLU: 66.03 vs 88.3 (so35)-25.2%
TruthfulQA: 45.3 vs 59 (gpt4)-23.2%
WinoGrande: 83.27 vs 87.5 (gpt4)-4.8%
GSM8K: 56.79 vs 96.4 (so35)-41.1%
LLME Score: 0.19036
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bucharest 0.2 (Mihaiii/Bucharest-0.2)

Bucharest 0.2 Parameters and Internals

Additional Notes 
The Bucharest series is mostly an experiment. Use Pallas series instead.
Training Details 
Data Sources:
private dataset, Mihaiii/OpenHermes-2.5-1k-longest-curated
Methodology:
instruct based fine tune
Input Output 
Input Format:
SYSTEM: USER: ASSISTANT:
LLM NameBucharest 0.2
Repository 🤗https://huggingface.co/Mihaiii/Bucharest-0.2 
Base Model(s)  migtissera/Tess-10.7B-v1.5b   migtissera/Tess-10.7B-v1.5b
Model Size10.7b
Required VRAM21.4 GB
Updated2024-12-21
MaintainerMihaiii
Model Typellama
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length6000
Model Max Length6000
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Mihaiii/Bucharest-0.2.

Rank the Bucharest 0.2 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 v20241217
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